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Gentoo's Bugzilla – Attachment 655966 Details for
Bug 738416
dev-python/theano-1.0.5 fails tests (hang)
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build.log
build.log (text/plain), 400.53 KB, created by
Agostino Sarubbo
on 2020-08-21 15:15:38 UTC
(
hide
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Description:
build.log
Filename:
MIME Type:
Creator:
Agostino Sarubbo
Created:
2020-08-21 15:15:38 UTC
Size:
400.53 KB
patch
obsolete
> * Package: dev-python/theano-1.0.5 > * Repository: gentoo > * Maintainer: sci@gentoo.org > * USE: abi_x86_64 amd64 elibc_glibc kernel_linux python_targets_python3_7 test userland_GNU > * FEATURES: network-sandbox preserve-libs sandbox test userpriv usersandbox > > >@@@@@ PLEASE PAY ATTENTION HERE!!! @@@@@ >This information may help you to understand if this is a duplicate or if this bug exists after you pushed a fix; >This ebuild was merged at the following commit: >https://github.com/gentoo-mirror/gentoo/commit/cc26b60d852f409b1b9e7bd2cd01c07e64246db3 (Fri Aug 21 13:37:39 UTC 2020) >@@@@@ END @@@@@ > > > >emerge --info: >Portage 3.0.4 (python 3.7.9-final-0, default/linux/amd64/17.1, gcc-10.2.0, glibc-2.32, 5.4.0-1021-aws x86_64) >================================================================= >System uname: Linux-5.4.0-1021-aws-x86_64-Intel-R-_Xeon-R-_Platinum_8175M_CPU_@_2.50GHz-with-gentoo-2.7 >KiB Mem: 64359960 total, 41200584 free >KiB Swap: 0 total, 0 free >Timestamp of repository gentoo: Fri, 21 Aug 2020 13:37:39 +0000 >sh bash 5.0_p18 >ld GNU ld (Gentoo 2.34 p6) 2.34.0 >app-shells/bash: 5.0_p18::gentoo >dev-lang/perl: 5.30.3-r1::gentoo >dev-lang/python: 2.7.18-r1::gentoo, 3.7.9::gentoo, 3.8.5::gentoo, 3.9.0_rc1::gentoo >dev-util/cmake: 3.18.1::gentoo >sys-apps/baselayout: 2.7::gentoo >sys-apps/openrc: 0.42.1::gentoo >sys-apps/sandbox: 2.20::gentoo >sys-devel/autoconf: 2.13-r1::gentoo, 2.69-r5::gentoo >sys-devel/automake: 1.16.2::gentoo >sys-devel/binutils: 2.34-r2::gentoo >sys-devel/gcc: 10.2.0::gentoo >sys-devel/gcc-config: 2.3.1::gentoo >sys-devel/libtool: 2.4.6-r6::gentoo >sys-devel/make: 4.3::gentoo >sys-kernel/linux-headers: 5.8::gentoo (virtual/os-headers) >sys-libs/glibc: 2.32::gentoo >Repositories: > >gentoo > location: /usr/portage > sync-type: rsync > sync-uri: rsync://rsync.gentoo.org/gentoo-portage > priority: -1000 > sync-rsync-verify-jobs: 1 > sync-rsync-extra-opts: > sync-rsync-verify-metamanifest: yes > sync-rsync-verify-max-age: 24 > >ACCEPT_KEYWORDS="amd64 ~amd64" >ACCEPT_LICENSE="* BSD" >CBUILD="x86_64-pc-linux-gnu" >CC="x86_64-pc-linux-gnu-clang" >CFLAGS="-O2 -pipe -march=native -frecord-gcc-switches -fno-diagnostics-color" >CHOST="x86_64-pc-linux-gnu" >CONFIG_PROTECT="/etc /usr/share/gnupg/qualified.txt" >CONFIG_PROTECT_MASK="/etc/ca-certificates.conf /etc/env.d /etc/gconf /etc/gentoo-release /etc/revdep-rebuild /etc/sandbox.d /etc/terminfo" >CXX="x86_64-pc-linux-gnu-clang++" >CXXFLAGS="-O2 -pipe -march=native -frecord-gcc-switches -fno-diagnostics-color" >DISTDIR="/var/tmp/portage/dev-python/theano-1.0.5/distdir" >EMERGE_DEFAULT_OPTS="--with-bdeps=y -1 -b -k" >ENV_UNSET="DBUS_SESSION_BUS_ADDRESS DISPLAY GOBIN GOPATH PERL5LIB PERL5OPT PERLPREFIX PERL_CORE PERL_MB_OPT PERL_MM_OPT XAUTHORITY XDG_CACHE_HOME XDG_CONFIG_HOME XDG_DATA_HOME XDG_RUNTIME_DIR" >FCFLAGS="-O2 -pipe -march=native -frecord-gcc-switches -fno-diagnostics-color" >FEATURES="assume-digests binpkg-docompress binpkg-dostrip binpkg-logs buildpkg collision-protect config-protect-if-modified distlocks ebuild-locks fixlafiles ipc-sandbox merge-sync multilib-strict network-sandbox news parallel-fetch pid-sandbox preserve-libs protect-owned qa-unresolved-soname-deps sandbox sfperms sign split-log strict test unknown-features-warn unmerge-logs unmerge-orphans userfetch userpriv usersandbox usersync xattr" >FFLAGS="-O2 -pipe -march=native -frecord-gcc-switches -fno-diagnostics-color" >GENTOO_MIRRORS="http://distfiles.gentoo.org" >LANG="C.UTF-8" >LDFLAGS="-Wl,-O1 -Wl,--as-needed -Wl,--defsym=__gentoo_check_ldflags__=0 -fuse-ld=lld" >MAKEOPTS="-j16 V=1" >PKGDIR="/root/.packages" >PORTAGE_CONFIGROOT="/" >PORTAGE_RSYNC_OPTS="--recursive --links --safe-links --perms --times --omit-dir-times --compress --force --whole-file --delete --stats --human-readable --timeout=180 --exclude=/distfiles --exclude=/local --exclude=/packages --exclude=/.git" >PORTAGE_TMPDIR="/var/tmp" >USE="acl amd64 berkdb bzip2 cli crypt dri elogind fortran gdbm iconv ipv6 jumbo-build libglvnd libtirpc multilib native-symlinks ncurses nls nptl openmp pam pcre readline seccomp split-usr ssl tcpd test unicode xattr zlib" ABI_X86="64" ELIBC="glibc" KERNEL="linux" PYTHON_TARGETS="python3_7" USERLAND="GNU" >Unset: CPPFLAGS, CTARGET, INSTALL_MASK, LC_ALL, LINGUAS, PORTAGE_BINHOST, PORTAGE_BUNZIP2_COMMAND, PORTAGE_COMPRESS, PORTAGE_COMPRESS_FLAGS, PORTAGE_RSYNC_EXTRA_OPTS > > > >>>> Unpacking source... >>>> Unpacking Theano-1.0.5.tar.gz to /var/tmp/portage/dev-python/theano-1.0.5/work >>>> Source unpacked in /var/tmp/portage/dev-python/theano-1.0.5/work >>>> Preparing source in /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5 ... >>>> Source prepared. >>>> Configuring source in /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5 ... >>>> Source configured. >>>> Compiling source in /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5 ... > * python3_7: running distutils-r1_run_phase distutils-r1_python_compile >python3.7 setup.py build -j 16 >running build >running build_py >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano >copying theano/configdefaults.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano >copying theano/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano >copying theano/updates.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano >copying theano/_version.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano >copying theano/configparser.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano >copying theano/ifelse.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano >copying theano/gradient.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano >copying theano/printing.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano >copying theano/pathparse.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano >copying theano/version.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano >copying theano/raise_op.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/bin >copying bin/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/bin >copying bin/theano_nose.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/bin >copying bin/theano_cache.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/bin >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray >copying theano/gpuarray/cudnn_defs.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray >copying theano/gpuarray/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray >copying theano/gpuarray/opt.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray >copying theano/gpuarray/fp16_help.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray >copying theano/gpuarray/sort.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray >copying theano/gpuarray/reduction.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray >copying theano/gpuarray/extra_ops.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray >copying theano/gpuarray/multinomial.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray >copying theano/gpuarray/blas.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray >copying theano/gpuarray/nerv.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray >copying theano/gpuarray/type.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray >copying theano/gpuarray/dnn.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray >copying theano/gpuarray/pool.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray >copying theano/gpuarray/fft.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray >copying theano/gpuarray/subtensor.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray >copying theano/gpuarray/neighbours.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray >copying theano/gpuarray/opt_util.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray >copying theano/gpuarray/ctc.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray >copying theano/gpuarray/blocksparse.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray >copying theano/gpuarray/nnet.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray >copying theano/gpuarray/kernel_codegen.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray >copying theano/gpuarray/elemwise.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray >copying theano/gpuarray/linalg.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray >copying theano/gpuarray/basic_ops.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray >copying theano/gpuarray/rng_mrg.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scan_module >copying theano/scan_module/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scan_module >copying theano/scan_module/scan_opt.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scan_module >copying theano/scan_module/scan_utils.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scan_module >copying theano/scan_module/scan_views.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scan_module >copying theano/scan_module/scan_op.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scan_module >copying theano/scan_module/scan_checkpoints.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scan_module >copying theano/scan_module/scan.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scan_module >copying theano/scan_module/scan_perform_ext.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scan_module >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof >copying theano/gof/cutils.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof >copying theano/gof/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof >copying theano/gof/op.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof >copying theano/gof/callcache.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof >copying theano/gof/opt.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof >copying theano/gof/lazylinker_c.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof >copying theano/gof/graph.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof >copying theano/gof/sched.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof >copying theano/gof/fg.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof >copying theano/gof/cc.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof >copying theano/gof/utils.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof >copying theano/gof/compiledir.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof >copying theano/gof/compilelock.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof >copying theano/gof/type.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof >copying theano/gof/destroyhandler.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof >copying theano/gof/cmodule.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof >copying theano/gof/link.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof >copying theano/gof/unify.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof >copying theano/gof/toolbox.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof >copying theano/gof/optdb.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof >copying theano/gof/vm.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof >copying theano/gof/params_type.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof >copying theano/gof/null_type.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/d3viz >copying theano/d3viz/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/d3viz >copying theano/d3viz/formatting.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/d3viz >copying theano/d3viz/d3viz.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/d3viz >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compat >copying theano/compat/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compat >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/typed_list >copying theano/typed_list/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/typed_list >copying theano/typed_list/opt.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/typed_list >copying theano/typed_list/type.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/typed_list >copying theano/typed_list/basic.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/typed_list >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor >copying theano/tensor/fourier.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor >copying theano/tensor/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor >copying theano/tensor/raw_random.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor >copying theano/tensor/xlogx.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor >copying theano/tensor/elemwise_cgen.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor >copying theano/tensor/opt.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor >copying theano/tensor/sort.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor >copying theano/tensor/inplace.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor >copying theano/tensor/extra_ops.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor >copying theano/tensor/blas_headers.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor >copying theano/tensor/opt_uncanonicalize.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor >copying theano/tensor/sharedvar.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor >copying theano/tensor/io.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor >copying theano/tensor/blas_scipy.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor >copying theano/tensor/utils.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor >copying theano/tensor/blas.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor >copying theano/tensor/var.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor >copying theano/tensor/type.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor >copying theano/tensor/slinalg.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor >copying theano/tensor/fft.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor >copying theano/tensor/type_other.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor >copying theano/tensor/subtensor.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor >copying theano/tensor/shared_randomstreams.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor >copying theano/tensor/nlinalg.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor >copying theano/tensor/inc_code.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor >copying theano/tensor/elemwise.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor >copying theano/tensor/blas_c.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor >copying theano/tensor/basic.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scalar >copying theano/scalar/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scalar >copying theano/scalar/sharedvar.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scalar >copying theano/scalar/basic_scipy.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scalar >copying theano/scalar/basic_sympy.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scalar >copying theano/scalar/basic.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scalar >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc >copying theano/misc/check_blas.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc >copying theano/misc/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc >copying theano/misc/windows.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc >copying theano/misc/latence_gpu_transfert.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc >copying theano/misc/gh_api.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc >copying theano/misc/check_multi_gpu.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc >copying theano/misc/elemwise_time_test.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc >copying theano/misc/check_duplicate_key.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc >copying theano/misc/strutil.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc >copying theano/misc/pkl_utils.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc >copying theano/misc/ordered_set.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc >copying theano/misc/elemwise_openmp_speedup.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc >copying theano/misc/burn_gpu.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc >copying theano/misc/safe_asarray.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc >copying theano/misc/cpucount.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc >copying theano/misc/buildbot_filter.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc >copying theano/misc/may_share_memory.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc >copying theano/misc/doubleop.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc >copying theano/misc/frozendict.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sparse >copying theano/sparse/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sparse >copying theano/sparse/opt.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sparse >copying theano/sparse/sharedvar.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sparse >copying theano/sparse/utils.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sparse >copying theano/sparse/type.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sparse >copying theano/sparse/basic.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sparse >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tests >copying theano/tests/test_rop.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tests >copying theano/tests/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tests >copying theano/tests/test_config.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tests >copying theano/tests/test_dictionary_output.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tests >copying theano/tests/test_flake8.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tests >copying theano/tests/test_ifelse.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tests >copying theano/tests/test_determinism.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tests >copying theano/tests/test_record.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tests >copying theano/tests/test_updates.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tests >copying theano/tests/run_tests_in_batch.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tests >copying theano/tests/test_breakpoint.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tests >copying theano/tests/test_2nd_order_grads.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tests >copying theano/tests/diverse_tests.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tests >copying theano/tests/test_printing.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tests >copying theano/tests/test_pickle_unpickle_theano_fn.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tests >copying theano/tests/breakpoint.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tests >copying theano/tests/disturb_mem.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tests >copying theano/tests/test_gradient.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tests >copying theano/tests/main.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tests >copying theano/tests/record.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tests >copying theano/tests/unittest_tools.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tests >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sandbox >copying theano/sandbox/fourier.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sandbox >copying theano/sandbox/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sandbox >copying theano/sandbox/minimal.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sandbox >copying theano/sandbox/softsign.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sandbox >copying theano/sandbox/multinomial.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sandbox >copying theano/sandbox/solve.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sandbox >copying theano/sandbox/neighbours.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sandbox >copying theano/sandbox/blocksparse.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sandbox >copying theano/sandbox/conv.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sandbox >copying theano/sandbox/rng_mrg.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sandbox >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile >copying theano/compile/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile >copying theano/compile/profiling.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile >copying theano/compile/function.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile >copying theano/compile/sharedvalue.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile >copying theano/compile/builders.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile >copying theano/compile/debugmode.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile >copying theano/compile/io.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile >copying theano/compile/nanguardmode.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile >copying theano/compile/function_module.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile >copying theano/compile/ops.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile >copying theano/compile/monitormode.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile >copying theano/compile/mode.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile >copying theano/compile/pfunc.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests >copying theano/gpuarray/tests/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests >copying theano/gpuarray/tests/test_nnet.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests >copying theano/gpuarray/tests/test_dnn.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests >copying theano/gpuarray/tests/test_misc.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests >copying theano/gpuarray/tests/test_type.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests >copying theano/gpuarray/tests/test_reduction.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests >copying theano/gpuarray/tests/test_pool.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests >copying theano/gpuarray/tests/test_ctc.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests >copying theano/gpuarray/tests/test_scan.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests >copying theano/gpuarray/tests/test_neighbours.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests >copying theano/gpuarray/tests/test_rng_mrg.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests >copying theano/gpuarray/tests/test_sort.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests >copying theano/gpuarray/tests/config.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests >copying theano/gpuarray/tests/test_blocksparse.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests >copying theano/gpuarray/tests/rnn_support.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests >copying theano/gpuarray/tests/run_dnn_conv.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests >copying theano/gpuarray/tests/test_gemmcorr.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests >copying theano/gpuarray/tests/test_elemwise.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests >copying theano/gpuarray/tests/test_blas.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests >copying theano/gpuarray/tests/test_gemmcorr3d.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests >copying theano/gpuarray/tests/test_basic_ops.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests >copying theano/gpuarray/tests/test_subtensor.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests >copying theano/gpuarray/tests/test_extra_ops.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests >copying theano/gpuarray/tests/test_fft.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests >copying theano/gpuarray/tests/check_dnn_conv.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests >copying theano/gpuarray/tests/test_opt.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests >copying theano/gpuarray/tests/test_pickle.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests >copying theano/gpuarray/tests/test_multinomial.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests >copying theano/gpuarray/tests/test_others.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests >copying theano/gpuarray/tests/test_linalg.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests >copying theano/gpuarray/tests/test_cgpukernelbase.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests >copying theano/gpuarray/tests/test_abstractconv.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scan_module/tests >copying theano/scan_module/tests/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scan_module/tests >copying theano/scan_module/tests/test_scan.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scan_module/tests >copying theano/scan_module/tests/test_scan_utils.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scan_module/tests >copying theano/scan_module/tests/test_scan_checkpoints.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scan_module/tests >copying theano/scan_module/tests/test_scan_opt.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scan_module/tests >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests >copying theano/gof/tests/test_sched.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests >copying theano/gof/tests/test_vm.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests >copying theano/gof/tests/test_graph_opt_caching.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests >copying theano/gof/tests/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests >copying theano/gof/tests/test_toolbox.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests >copying theano/gof/tests/test_lazy.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests >copying theano/gof/tests/test_optdb.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests >copying theano/gof/tests/test_compute_test_value.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests >copying theano/gof/tests/test_link.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests >copying theano/gof/tests/test_destroyhandler.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests >copying theano/gof/tests/test_graph.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests >copying theano/gof/tests/test_params_type.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests >copying theano/gof/tests/test_compiledir.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests >copying theano/gof/tests/test_cmodule.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests >copying theano/gof/tests/test_types.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests >copying theano/gof/tests/test_utils.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests >copying theano/gof/tests/test_fg.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests >copying theano/gof/tests/test_op.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests >copying theano/gof/tests/test_cc.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests >copying theano/gof/tests/test_opt.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/d3viz/tests >copying theano/d3viz/tests/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/d3viz/tests >copying theano/d3viz/tests/models.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/d3viz/tests >copying theano/d3viz/tests/test_formatting.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/d3viz/tests >copying theano/d3viz/tests/test_d3viz.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/d3viz/tests >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/typed_list/tests >copying theano/typed_list/tests/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/typed_list/tests >copying theano/typed_list/tests/test_type.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/typed_list/tests >copying theano/typed_list/tests/test_opt.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/typed_list/tests >copying theano/typed_list/tests/test_basic.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/typed_list/tests >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet >copying theano/tensor/nnet/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet >copying theano/tensor/nnet/corr3d.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet >copying theano/tensor/nnet/opt.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet >copying theano/tensor/nnet/conv3d2d.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet >copying theano/tensor/nnet/bn.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet >copying theano/tensor/nnet/corr.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet >copying theano/tensor/nnet/neighbours.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet >copying theano/tensor/nnet/abstract_conv.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet >copying theano/tensor/nnet/ctc.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet >copying theano/tensor/nnet/blocksparse.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet >copying theano/tensor/nnet/nnet.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet >copying theano/tensor/nnet/conv.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet >copying theano/tensor/nnet/sigm.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/signal >copying theano/tensor/signal/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/signal >copying theano/tensor/signal/pool.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/signal >copying theano/tensor/signal/conv.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/signal >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests >copying theano/tensor/tests/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests >copying theano/tensor/tests/test_inc_subtensor.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests >copying theano/tensor/tests/test_misc.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests >copying theano/tensor/tests/test_xlogx.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests >copying theano/tensor/tests/test_casting.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests >copying theano/tensor/tests/test_keepdims.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests >copying theano/tensor/tests/test_complex.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests >copying theano/tensor/tests/test_gc.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests >copying theano/tensor/tests/test_merge.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests >copying theano/tensor/tests/test_sort.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests >copying theano/tensor/tests/test_io.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests >copying theano/tensor/tests/test_mpi.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests >copying theano/tensor/tests/test_opt_uncanonicalize.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests >copying theano/tensor/tests/test_elemwise.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests >copying theano/tensor/tests/test_blas_c.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests >copying theano/tensor/tests/test_utils.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests >copying theano/tensor/tests/test_blas_scipy.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests >copying theano/tensor/tests/test_blas.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests >copying theano/tensor/tests/test_type_other.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests >copying theano/tensor/tests/test_subtensor.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests >copying theano/tensor/tests/test_shared_randomstreams.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests >copying theano/tensor/tests/test_extra_ops.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests >copying theano/tensor/tests/test_fft.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests >copying theano/tensor/tests/test_fourier.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests >copying theano/tensor/tests/test_raw_random.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests >copying theano/tensor/tests/test_var.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests >copying theano/tensor/tests/test_opt.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests >copying theano/tensor/tests/_test_mpi_roundtrip.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests >copying theano/tensor/tests/test_nlinalg.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests >copying theano/tensor/tests/test_sharedvar.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests >copying theano/tensor/tests/test_basic.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests >copying theano/tensor/tests/test_slinalg.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests >copying theano/tensor/tests/mlp_test.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scalar/tests >copying theano/scalar/tests/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scalar/tests >copying theano/scalar/tests/test_div_no_future.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scalar/tests >copying theano/scalar/tests/test_div_future.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scalar/tests >copying theano/scalar/tests/test_basic_sympy.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scalar/tests >copying theano/scalar/tests/test_basic.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scalar/tests >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc/tests >copying theano/misc/tests/test_pkl_utils.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc/tests >copying theano/misc/tests/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc/tests >copying theano/misc/tests/test_may_share_memory.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc/tests >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sparse/tests >copying theano/sparse/tests/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sparse/tests >copying theano/sparse/tests/test_sp2.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sparse/tests >copying theano/sparse/tests/test_type.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sparse/tests >copying theano/sparse/tests/test_utils.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sparse/tests >copying theano/sparse/tests/test_opt.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sparse/tests >copying theano/sparse/tests/test_basic.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sparse/tests >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sparse/sandbox >copying theano/sparse/sandbox/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sparse/sandbox >copying theano/sparse/sandbox/test_sp.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sparse/sandbox >copying theano/sparse/sandbox/truedot.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sparse/sandbox >copying theano/sparse/sandbox/sp2.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sparse/sandbox >copying theano/sparse/sandbox/sp.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sparse/sandbox >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sandbox/linalg >copying theano/sandbox/linalg/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sandbox/linalg >copying theano/sandbox/linalg/ops.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sandbox/linalg >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sandbox/cuda >copying theano/sandbox/cuda/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sandbox/cuda >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sandbox/tests >copying theano/sandbox/tests/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sandbox/tests >copying theano/sandbox/tests/test_rng_mrg.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sandbox/tests >copying theano/sandbox/tests/test_multinomial_wo_replacement.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sandbox/tests >copying theano/sandbox/tests/test_multinomial.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sandbox/tests >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/tests >copying theano/compile/tests/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/tests >copying theano/compile/tests/test_misc.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/tests >copying theano/compile/tests/test_builders.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/tests >copying theano/compile/tests/test_function_name.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/tests >copying theano/compile/tests/test_function.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/tests >copying theano/compile/tests/test_ops.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/tests >copying theano/compile/tests/test_pfunc.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/tests >copying theano/compile/tests/test_profiling.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/tests >copying theano/compile/tests/test_function_module.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/tests >copying theano/compile/tests/test_monitormode.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/tests >copying theano/compile/tests/test_nanguardmode.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/tests >copying theano/compile/tests/test_debugmode.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/tests >copying theano/compile/tests/test_mode.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/tests >copying theano/compile/tests/test_shared.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/tests >copying theano/compile/tests/test_modes.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/tests >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/sandbox >copying theano/compile/sandbox/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/sandbox >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/tests >copying theano/tensor/nnet/tests/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/tests >copying theano/tensor/nnet/tests/test_nnet.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/tests >copying theano/tensor/nnet/tests/test_conv3d2d.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/tests >copying theano/tensor/nnet/tests/test_bn.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/tests >copying theano/tensor/nnet/tests/test_ctc.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/tests >copying theano/tensor/nnet/tests/test_neighbours.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/tests >copying theano/tensor/nnet/tests/test_corr3d.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/tests >copying theano/tensor/nnet/tests/test_blocksparse.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/tests >copying theano/tensor/nnet/tests/test_corr.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/tests >copying theano/tensor/nnet/tests/test_abstract_conv.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/tests >copying theano/tensor/nnet/tests/test_conv.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/tests >copying theano/tensor/nnet/tests/speed_test_conv.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/tests >copying theano/tensor/nnet/tests/test_opt.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/tests >copying theano/tensor/nnet/tests/test_sigm.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/tests >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/signal/tests >copying theano/tensor/signal/tests/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/signal/tests >copying theano/tensor/signal/tests/test_pool.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/signal/tests >copying theano/tensor/signal/tests/test_conv.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/signal/tests >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sandbox/linalg/tests >copying theano/sandbox/linalg/tests/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sandbox/linalg/tests >copying theano/sandbox/linalg/tests/test_linalg.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sandbox/linalg/tests >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/dnn_rnn_paramsize.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/dnn_pool.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/dnn_fwd.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/dnn_rnn_gw.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/dnn_gw.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/magma_cholesky.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/dnn_batchnorm_base.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/dnn_base.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/dnn_pool_grad.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/pool_max_rop.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/magma_inv.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/dnn_softmax_grad.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/topk_common.cuh -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/magma_svd.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/pool_max_grad.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/pool.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/dnn_batchnorm_grad.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/pool_grad_grad.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/corr3d_gemm.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/dnn_rnn_fwd.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/blockger.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/corr_gemm.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/magma_qr.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/cudnn_helper.h -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/dnn_batchnorm.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/pool_ave_grad.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/dnn_dropout_fwd.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/conv_desc.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/dnn_redux.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/blockgemv.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/magma_eigh.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/dnn_conv_base.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/dnn_gi.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/topk_dense.cu -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/dnn_rnn_desc.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/dnn_softmax.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/dimshuffle.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/dnn_sptf_sampler.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/dnn_rnn_gi.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/ctc_wrapper.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/gpuarray_helper.h -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/dnn_sptf_gi.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/topk_dense_large.cu -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/dnn_batchnorm_inf.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/dnn_dropout_desc.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/dnn_sptf_grid.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >copying theano/gpuarray/c_code/dnn_sptf_gt.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scan_module/c_code >copying theano/scan_module/c_code/scan_perform.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scan_module/c_code >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/c_code >copying theano/gof/c_code/theano_mod_helper.h -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/c_code >copying theano/gof/c_code/lazylinker_c.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/c_code >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/d3viz/html >copying theano/d3viz/html/template.html -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/d3viz/html >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/d3viz/css >copying theano/d3viz/css/d3viz.css -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/d3viz/css >copying theano/d3viz/css/d3-context-menu.css -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/d3viz/css >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/d3viz/js >copying theano/d3viz/js/dagre-d3.min.js -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/d3viz/js >copying theano/d3viz/js/d3-context-menu.js -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/d3viz/js >copying theano/d3viz/js/d3viz.js -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/d3viz/js >copying theano/d3viz/js/graphlib-dot.min.js -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/d3viz/js >copying theano/d3viz/js/d3.v3.min.js -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/d3viz/js >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/c_code >copying theano/tensor/c_code/alt_blas_template.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/c_code >copying theano/tensor/c_code/dimshuffle.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/c_code >copying theano/tensor/c_code/alt_blas_common.h -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/c_code >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scalar/c_code >copying theano/scalar/c_code/gamma.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scalar/c_code >copying theano/misc/check_blas_many.sh -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc >copying theano/sandbox/samples_MRG31k3p_12_7_5.txt -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sandbox >copying theano/gpuarray/tests/GpuArray.pkl -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests >copying theano/gpuarray/tests/test_gpuarray_multinomial_wo_replacement.pkl -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests/c_code >copying theano/gpuarray/tests/c_code/tstgpueye.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests/c_code >copying theano/gof/tests/test_fg_old_crash.pkl -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests/c_code >copying theano/gof/tests/c_code/test_quadratic_function.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests/c_code >copying theano/gof/tests/c_code/test_cenum.h -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests/c_code >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/c_code >copying theano/tensor/nnet/c_code/corr3d_gemm.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/c_code >copying theano/tensor/nnet/c_code/corr_gemm.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/c_code >copying theano/tensor/nnet/c_code/ctc_wrapper.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/c_code >copying theano/sandbox/tests/multinomial_test_graph.pkl -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sandbox/tests >copying theano/sandbox/tests/test_sandbox_multinomial_wo_replacement.pkl -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sandbox/tests >copying theano/tensor/signal/tests/old_pool_interface.pkl -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/signal/tests >warning: cmd_build_py: byte-compiling is disabled, skipping. > >UPDATING /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/_version.py >set /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/_version.py to '1.0.5' >>>> Source compiled. >>>> Test phase: dev-python/theano-1.0.5 > * python3_7: running distutils-r1_run_phase python_test >python3.7 setup.py install --home=/var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/test --install-lib=/var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/test/lib --install-scripts=/var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/test/scripts >running install >running bdist_egg >running egg_info >writing Theano.egg-info/PKG-INFO >writing dependency_links to Theano.egg-info/dependency_links.txt >writing entry points to Theano.egg-info/entry_points.txt >writing requirements to Theano.egg-info/requires.txt >writing top-level names to Theano.egg-info/top_level.txt >reading manifest file 'Theano.egg-info/SOURCES.txt' >reading manifest template 'MANIFEST.in' >warning: no files found matching '*.cpp' anywhere in distribution >warning: manifest_maker: MANIFEST.in, line 9: 'recursive-include' expects <dir> <pattern1> <pattern2> ... > >no previously-included directories found matching '.jenkins' >no previously-included directories found matching '.travis' >writing manifest file 'Theano.egg-info/SOURCES.txt' >installing library code to /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg >running install_lib >running build_py >warning: cmd_build_py: byte-compiling is disabled, skipping. > >UPDATING /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/_version.py >set /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/_version.py to '1.0.5' >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64 >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/configdefaults.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/cudnn_defs.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/opt.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/fp16_help.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/sort.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/reduction.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/extra_ops.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/multinomial.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/blas.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/nerv.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/type.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/dnn_rnn_paramsize.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/dnn_pool.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/dnn_fwd.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/dnn_rnn_gw.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/dnn_gw.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/magma_cholesky.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/dnn_batchnorm_base.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/dnn_base.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/dnn_pool_grad.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/pool_max_rop.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/magma_inv.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/dnn_softmax_grad.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/topk_common.cuh -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/magma_svd.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/pool_max_grad.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/pool.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/dnn_batchnorm_grad.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/pool_grad_grad.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/corr3d_gemm.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/dnn_rnn_fwd.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/blockger.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/corr_gemm.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/magma_qr.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/cudnn_helper.h -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/dnn_batchnorm.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/pool_ave_grad.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/dnn_dropout_fwd.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/conv_desc.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/dnn_redux.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/blockgemv.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/magma_eigh.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/dnn_conv_base.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/dnn_gi.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/topk_dense.cu -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/dnn_rnn_desc.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/dnn_softmax.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/dimshuffle.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/dnn_sptf_sampler.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/dnn_rnn_gi.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/ctc_wrapper.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/gpuarray_helper.h -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/dnn_sptf_gi.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/topk_dense_large.cu -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/dnn_batchnorm_inf.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/dnn_dropout_desc.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/dnn_sptf_grid.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/c_code/dnn_sptf_gt.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/dnn.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/pool.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/fft.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/subtensor.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/neighbours.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/opt_util.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/ctc.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/blocksparse.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/nnet.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/kernel_codegen.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/elemwise.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests/test_nnet.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests/test_dnn.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests/test_misc.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests/test_type.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests/test_reduction.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests/test_pool.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests/test_ctc.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests/test_scan.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests/test_neighbours.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests/test_rng_mrg.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests/test_sort.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests/config.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests/test_blocksparse.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests/rnn_support.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests/run_dnn_conv.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/tests >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/tests/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests/c_code/tstgpueye.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/tests/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests/GpuArray.pkl -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests/test_gemmcorr.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests/test_elemwise.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests/test_blas.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests/test_gemmcorr3d.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests/test_basic_ops.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests/test_subtensor.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests/test_extra_ops.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests/test_fft.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests/check_dnn_conv.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests/test_opt.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests/test_pickle.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests/test_multinomial.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests/test_others.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests/test_linalg.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests/test_cgpukernelbase.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests/test_abstractconv.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/tests/test_gpuarray_multinomial_wo_replacement.pkl -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/linalg.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/basic_ops.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gpuarray/rng_mrg.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gpuarray >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/scan_module >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scan_module/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/scan_module >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scan_module/scan_opt.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/scan_module >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scan_module/scan_utils.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/scan_module >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scan_module/scan_views.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/scan_module >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scan_module/scan_op.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/scan_module >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/scan_module/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scan_module/c_code/scan_perform.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/scan_module/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scan_module/scan_checkpoints.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/scan_module >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scan_module/scan.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/scan_module >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/scan_module/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scan_module/tests/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/scan_module/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scan_module/tests/test_scan.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/scan_module/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scan_module/tests/test_scan_utils.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/scan_module/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scan_module/tests/test_scan_checkpoints.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/scan_module/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scan_module/tests/test_scan_opt.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/scan_module/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scan_module/scan_perform_ext.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/scan_module >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/updates.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/cutils.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/op.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/callcache.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/opt.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/lazylinker_c.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/graph.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/sched.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/fg.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/cc.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/utils.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/compiledir.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/compilelock.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/type.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/destroyhandler.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/c_code/theano_mod_helper.h -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/c_code/lazylinker_c.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/cmodule.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/link.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/unify.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/toolbox.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/optdb.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/vm.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/params_type.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests/test_sched.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests/test_vm.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests/test_graph_opt_caching.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests/test_toolbox.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests/test_lazy.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests/test_optdb.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests/test_compute_test_value.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests/test_link.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests/test_destroyhandler.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests/test_graph.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests/test_params_type.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests/test_compiledir.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests/test_cmodule.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof/tests >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof/tests/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests/c_code/test_quadratic_function.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof/tests/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests/c_code/test_cenum.h -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof/tests/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests/test_types.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests/test_utils.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests/test_fg.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests/test_op.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests/test_cc.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests/test_fg_old_crash.pkl -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/tests/test_opt.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gof/null_type.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/gof >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/_version.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/configparser.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/d3viz >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/d3viz/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/d3viz >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/d3viz/formatting.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/d3viz >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/d3viz/d3viz.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/d3viz >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/d3viz/css >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/d3viz/css/d3viz.css -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/d3viz/css >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/d3viz/css/d3-context-menu.css -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/d3viz/css >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/d3viz/html >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/d3viz/html/template.html -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/d3viz/html >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/d3viz/js >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/d3viz/js/dagre-d3.min.js -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/d3viz/js >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/d3viz/js/d3-context-menu.js -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/d3viz/js >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/d3viz/js/d3viz.js -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/d3viz/js >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/d3viz/js/graphlib-dot.min.js -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/d3viz/js >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/d3viz/js/d3.v3.min.js -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/d3viz/js >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/d3viz/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/d3viz/tests/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/d3viz/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/d3viz/tests/models.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/d3viz/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/d3viz/tests/test_formatting.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/d3viz/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/d3viz/tests/test_d3viz.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/d3viz/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/ifelse.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/gradient.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/compat >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compat/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/compat >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/printing.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/typed_list >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/typed_list/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/typed_list >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/typed_list/opt.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/typed_list >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/typed_list/type.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/typed_list >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/typed_list/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/typed_list/tests/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/typed_list/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/typed_list/tests/test_type.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/typed_list/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/typed_list/tests/test_opt.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/typed_list/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/typed_list/tests/test_basic.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/typed_list/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/typed_list/basic.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/typed_list >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/fourier.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/raw_random.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/xlogx.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/elemwise_cgen.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/opt.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/sort.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/inplace.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/extra_ops.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/blas_headers.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/opt_uncanonicalize.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/sharedvar.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/io.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/nnet >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/nnet >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/corr3d.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/nnet >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/opt.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/nnet >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/conv3d2d.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/nnet >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/bn.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/nnet >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/nnet/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/c_code/corr3d_gemm.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/nnet/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/c_code/corr_gemm.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/nnet/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/c_code/ctc_wrapper.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/nnet/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/corr.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/nnet >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/neighbours.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/nnet >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/abstract_conv.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/nnet >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/ctc.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/nnet >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/blocksparse.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/nnet >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/nnet.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/nnet >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/nnet/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/tests/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/nnet/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/tests/test_nnet.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/nnet/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/tests/test_conv3d2d.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/nnet/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/tests/test_bn.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/nnet/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/tests/test_ctc.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/nnet/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/tests/test_neighbours.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/nnet/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/tests/test_corr3d.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/nnet/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/tests/test_blocksparse.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/nnet/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/tests/test_corr.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/nnet/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/tests/test_abstract_conv.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/nnet/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/tests/test_conv.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/nnet/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/tests/speed_test_conv.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/nnet/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/tests/test_opt.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/nnet/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/tests/test_sigm.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/nnet/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/conv.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/nnet >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nnet/sigm.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/nnet >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/blas_scipy.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/utils.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/blas.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/signal >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/signal/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/signal >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/signal/pool.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/signal >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/signal/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/signal/tests/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/signal/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/signal/tests/test_pool.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/signal/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/signal/tests/old_pool_interface.pkl -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/signal/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/signal/tests/test_conv.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/signal/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/signal/conv.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/signal >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/var.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/type.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/c_code/alt_blas_template.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/c_code/dimshuffle.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/c_code/alt_blas_common.h -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/slinalg.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/fft.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/type_other.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/subtensor.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/shared_randomstreams.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/nlinalg.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/inc_code.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/elemwise.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests/test_inc_subtensor.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests/test_misc.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests/test_xlogx.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests/test_casting.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests/test_keepdims.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests/test_complex.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests/test_gc.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests/test_merge.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests/test_sort.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests/test_io.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests/test_mpi.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests/test_opt_uncanonicalize.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests/test_elemwise.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests/test_blas_c.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests/test_utils.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests/test_blas_scipy.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests/test_blas.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests/test_type_other.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests/test_subtensor.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests/test_shared_randomstreams.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests/test_extra_ops.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests/test_fft.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests/test_fourier.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests/test_raw_random.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests/test_var.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests/test_opt.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests/_test_mpi_roundtrip.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests/test_nlinalg.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests/test_sharedvar.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests/test_basic.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests/test_slinalg.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/tests/mlp_test.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/blas_c.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tensor/basic.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tensor >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/pathparse.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/scalar >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scalar/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/scalar >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scalar/sharedvar.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/scalar >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/scalar/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scalar/c_code/gamma.c -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/scalar/c_code >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scalar/basic_scipy.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/scalar >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scalar/basic_sympy.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/scalar >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/scalar/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scalar/tests/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/scalar/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scalar/tests/test_div_no_future.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/scalar/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scalar/tests/test_div_future.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/scalar/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scalar/tests/test_basic_sympy.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/scalar/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scalar/tests/test_basic.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/scalar/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/scalar/basic.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/scalar >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/misc >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc/check_blas.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/misc >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/misc >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc/windows.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/misc >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc/latence_gpu_transfert.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/misc >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc/gh_api.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/misc >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc/check_multi_gpu.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/misc >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc/elemwise_time_test.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/misc >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc/check_duplicate_key.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/misc >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc/strutil.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/misc >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc/pkl_utils.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/misc >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc/ordered_set.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/misc >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc/elemwise_openmp_speedup.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/misc >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc/burn_gpu.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/misc >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc/check_blas_many.sh -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/misc >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc/safe_asarray.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/misc >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc/cpucount.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/misc >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc/buildbot_filter.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/misc >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc/may_share_memory.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/misc >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/misc/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc/tests/test_pkl_utils.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/misc/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc/tests/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/misc/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc/tests/test_may_share_memory.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/misc/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc/doubleop.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/misc >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/misc/frozendict.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/misc >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/version.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/sparse >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sparse/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/sparse >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sparse/opt.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/sparse >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sparse/sharedvar.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/sparse >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sparse/utils.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/sparse >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sparse/type.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/sparse >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/sparse/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sparse/tests/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/sparse/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sparse/tests/test_sp2.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/sparse/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sparse/tests/test_type.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/sparse/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sparse/tests/test_utils.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/sparse/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sparse/tests/test_opt.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/sparse/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sparse/tests/test_basic.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/sparse/tests >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/sparse/sandbox >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sparse/sandbox/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/sparse/sandbox >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sparse/sandbox/test_sp.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/sparse/sandbox >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sparse/sandbox/truedot.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/sparse/sandbox >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sparse/sandbox/sp2.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/sparse/sandbox >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sparse/sandbox/sp.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/sparse/sandbox >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sparse/basic.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/sparse >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tests/test_rop.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tests/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tests/test_config.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tests/test_dictionary_output.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tests/test_flake8.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tests/test_ifelse.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tests/test_determinism.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tests/test_record.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tests/test_updates.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tests/run_tests_in_batch.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tests/test_breakpoint.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tests/test_2nd_order_grads.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tests/diverse_tests.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tests/test_printing.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tests/test_pickle_unpickle_theano_fn.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tests/breakpoint.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tests/disturb_mem.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tests/test_gradient.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tests/main.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tests/record.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/tests/unittest_tools.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/tests >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/sandbox >copying 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/var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/sandbox >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sandbox/multinomial.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/sandbox >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sandbox/solve.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/sandbox >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/sandbox/linalg >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sandbox/linalg/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/sandbox/linalg >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sandbox/linalg/ops.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/sandbox/linalg >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/sandbox/linalg/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sandbox/linalg/tests/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/sandbox/linalg/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sandbox/linalg/tests/test_linalg.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/sandbox/linalg/tests >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/sandbox/cuda >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sandbox/cuda/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/sandbox/cuda >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sandbox/neighbours.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/sandbox >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sandbox/blocksparse.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/sandbox >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/sandbox/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sandbox/tests/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/sandbox/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sandbox/tests/multinomial_test_graph.pkl -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/sandbox/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sandbox/tests/test_rng_mrg.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/sandbox/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sandbox/tests/test_multinomial_wo_replacement.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/sandbox/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sandbox/tests/test_multinomial.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/sandbox/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sandbox/tests/test_sandbox_multinomial_wo_replacement.pkl -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/sandbox/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sandbox/conv.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/sandbox >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/sandbox/rng_mrg.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/sandbox >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/compile >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/compile >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/profiling.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/compile >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/function.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/compile >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/sharedvalue.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/compile >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/builders.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/compile >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/debugmode.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/compile >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/io.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/compile >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/nanguardmode.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/compile >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/function_module.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/compile >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/ops.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/compile >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/monitormode.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/compile >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/mode.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/compile >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/pfunc.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/compile >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/compile/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/tests/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/compile/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/tests/test_misc.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/compile/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/tests/test_builders.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/compile/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/tests/test_function_name.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/compile/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/tests/test_function.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/compile/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/tests/test_ops.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/compile/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/tests/test_pfunc.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/compile/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/tests/test_profiling.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/compile/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/tests/test_function_module.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/compile/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/tests/test_monitormode.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/compile/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/tests/test_nanguardmode.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/compile/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/tests/test_debugmode.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/compile/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/tests/test_mode.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/compile/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/tests/test_shared.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/compile/tests >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/tests/test_modes.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/compile/tests >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/compile/sandbox >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/compile/sandbox/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano/compile/sandbox >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/theano/raise_op.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/theano >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/bin >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/bin/__init__.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/bin >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/bin/theano_nose.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/bin >copying /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/lib/bin/theano_cache.py -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/bin >warning: install_lib: byte-compiling is disabled, skipping. > >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/EGG-INFO >copying Theano.egg-info/PKG-INFO -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/EGG-INFO >copying Theano.egg-info/SOURCES.txt -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/EGG-INFO >copying Theano.egg-info/dependency_links.txt -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/EGG-INFO >copying Theano.egg-info/entry_points.txt -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/EGG-INFO >copying Theano.egg-info/requires.txt -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/EGG-INFO >copying Theano.egg-info/top_level.txt -> /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg/EGG-INFO >zip_safe flag not set; analyzing archive contents... >creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/dist >creating '/var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/dist/Theano-1.0.5-py3.7.egg' and adding '/var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg' to it >removing '/var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/bdist.linux-x86_64/egg' (and everything under it) >Creating /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/test/lib/site.py >Processing Theano-1.0.5-py3.7.egg >Copying Theano-1.0.5-py3.7.egg to /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/test/lib >Adding Theano 1.0.5 to easy-install.pth file >Installing theano-cache script to /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/test/scripts >Installing theano-nose script to /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/test/scripts > >Installed /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/test/lib/Theano-1.0.5-py3.7.egg >Processing dependencies for Theano==1.0.5 >Searching for six==1.15.0 >Best match: six 1.15.0 >Adding six 1.15.0 to easy-install.pth file > >Using /usr/lib/python3.7/site-packages >Searching for scipy==1.5.2 >Best match: scipy 1.5.2 >Adding scipy 1.5.2 to easy-install.pth file > >Using /usr/lib/python3.7/site-packages >Searching for numpy==1.19.1 >Best match: numpy 1.19.1 >Adding numpy 1.19.1 to easy-install.pth file >Installing f2py script to /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/test/scripts >Installing f2py3 script to /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/test/scripts >Installing f2py3.7 script to /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5-python3_7/test/scripts > >Using /usr/lib/python3.7/site-packages >Finished processing dependencies for Theano==1.0.5 >nose.config: INFO: Ignoring files matching ['^\\.', '^_', '^setup\\.py$'] >nose.config: INFO: Excluding tests matching ['test_format_flake8'] >nose.selector: INFO: /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5/bin/theano-cache is executable; skipped >nose.selector: INFO: /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5/bin/theano-nose is executable; skipped >nose.selector: INFO: /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5/theano/misc/check_blas_many.sh is executable; skipped >nose.selector: INFO: /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5/theano/misc/strutil.py is executable; skipped >nose.selector: INFO: /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5/theano/tensor/signal/pool.py is executable; skipped >test_compute_test_value (theano.compile.tests.test_builders.T_OpFromGraph) ... ok >test_connection_pattern_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok >test_connection_pattern_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok >test_connection_pattern_override_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok >test_connection_pattern_override_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok >test_grad_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok >test_grad_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok >test_grad_grad_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok >test_grad_grad_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok >test_grad_override_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok >test_grad_override_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok >test_infer_shape (theano.compile.tests.test_builders.T_OpFromGraph) ... ok >test_lop_override_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok >test_lop_override_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok >test_nested_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok >test_nested_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok >test_rop_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok >test_rop_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok >test_rop_override_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok >test_rop_override_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok >test_shared_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok >test_shared_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok >test_shared_grad_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok >test_shared_grad_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok >test_size_changes_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok >test_size_changes_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok >test_straightforward_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok >test_straightforward_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok >test_aliased_outputs_bad (theano.compile.tests.test_debugmode.Test_ViewMap) ... ok >test_aliased_outputs_ok (theano.compile.tests.test_debugmode.Test_ViewMap) ... ok >test_aliased_outputs_ok_output (theano.compile.tests.test_debugmode.Test_ViewMap) ... ok >test_aliased_outputs_ok_shadow (theano.compile.tests.test_debugmode.Test_ViewMap) ... ok >test_badviewmap_c (theano.compile.tests.test_debugmode.Test_ViewMap) ... ok >test_badviewmap_ref (theano.compile.tests.test_debugmode.Test_ViewMap) ... ok >test_badviewmap_slice (theano.compile.tests.test_debugmode.Test_ViewMap) ... ok >test_goodviewmap (theano.compile.tests.test_debugmode.Test_ViewMap) ... ok >test_check_isfinite (theano.compile.tests.test_debugmode.Test_check_isfinite) ... ok >test_check_isfinite_disabled (theano.compile.tests.test_debugmode.Test_check_isfinite) ... ok >test_f_contiguous (theano.compile.tests.test_debugmode.Test_preallocated_output) ... ok >test_f_contiguous_out (theano.compile.tests.test_debugmode.Test_preallocated_output) ... ok >test_output_broadcast_tensor (theano.compile.tests.test_debugmode.Test_preallocated_output) ... ok >theano.compile.tests.test_debugmode.test0 ... ok >theano.compile.tests.test_debugmode.test_badthunkoutput ... ok >theano.compile.tests.test_debugmode.test_badoptimization ... ok >theano.compile.tests.test_debugmode.test_badoptimization_opt_err ... ok >theano.compile.tests.test_debugmode.test_stochasticoptimization ... ok >theano.compile.tests.test_debugmode.test_just_c_code ... ok >theano.compile.tests.test_debugmode.test_baddestroymap ... ok >theano.compile.tests.test_debugmode.test_baddestroymap_c ... ok >test_explicit_shared_input (theano.compile.tests.test_function.TestFunctionIn) ... ok >test_in_allow_downcast_floatX (theano.compile.tests.test_function.TestFunctionIn) ... ok >test_in_allow_downcast_int (theano.compile.tests.test_function.TestFunctionIn) ... ok >test_in_allow_downcast_vector_floatX (theano.compile.tests.test_function.TestFunctionIn) ... ok >test_in_mutable (theano.compile.tests.test_function.TestFunctionIn) ... ok >test_in_shared_variable (theano.compile.tests.test_function.TestFunctionIn) ... ok >test_in_strict (theano.compile.tests.test_function.TestFunctionIn) ... ok >test_in_update (theano.compile.tests.test_function.TestFunctionIn) ... ok >test_in_update_shared (theano.compile.tests.test_function.TestFunctionIn) ... ok >test_in_update_wrong_dtype (theano.compile.tests.test_function.TestFunctionIn) ... ok >theano.compile.tests.test_function.test_function_dump ... ok >test_borrow_input (theano.compile.tests.test_function_module.T_function) ... ok >test_borrow_output (theano.compile.tests.test_function_module.T_function) ... ok >test_check_for_aliased_inputs (theano.compile.tests.test_function_module.T_function) ... ok >test_constant_output (theano.compile.tests.test_function_module.T_function) ... ok >test_copy (theano.compile.tests.test_function_module.T_function) ... ok >test_copy_delete_updates (theano.compile.tests.test_function_module.T_function) ... ok >test_copy_share_memory (theano.compile.tests.test_function_module.T_function) ... ok >test_default_values (theano.compile.tests.test_function_module.T_function) ... ok >test_disconnected_input (theano.compile.tests.test_function_module.T_function) ... ok >test_empty (theano.compile.tests.test_function_module.T_function) ... ok >test_extra_inputs (theano.compile.tests.test_function_module.T_function) ... ok >test_free (theano.compile.tests.test_function_module.T_function) ... ok >test_givens_input_var (theano.compile.tests.test_function_module.T_function) ... ok >test_input_anon_singleton (theano.compile.tests.test_function_module.T_function) ... ok >test_input_anon_unpack (theano.compile.tests.test_function_module.T_function) ... ok >test_masked_input (theano.compile.tests.test_function_module.T_function) ... ok >test_missing_inputs (theano.compile.tests.test_function_module.T_function) ... ok >test_naming_rule0 (theano.compile.tests.test_function_module.T_function) ... ok >test_naming_rule1 (theano.compile.tests.test_function_module.T_function) ... ok >test_naming_rule2 (theano.compile.tests.test_function_module.T_function) ... ok >test_naming_rule3 (theano.compile.tests.test_function_module.T_function) ... ok >test_naming_rule4 (theano.compile.tests.test_function_module.T_function) ... ok >test_none (theano.compile.tests.test_function_module.T_function) ... SKIP: See #254: Using None as function output leads to [] return value >test_same_names (theano.compile.tests.test_function_module.T_function) ... ok >test_shared_state0 (theano.compile.tests.test_function_module.T_function) ... ok >test_shared_state1 (theano.compile.tests.test_function_module.T_function) ... ok >test_shared_state2 (theano.compile.tests.test_function_module.T_function) ... ok >test_shared_state_not_implicit (theano.compile.tests.test_function_module.T_function) ... ok >test_state_access (theano.compile.tests.test_function_module.T_function) ... ok >test_swap_SharedVariable (theano.compile.tests.test_function_module.T_function) ... ok >test_swap_SharedVariable_with_given (theano.compile.tests.test_function_module.T_function) ... ok >test_weird_names (theano.compile.tests.test_function_module.T_function) ... ok >test_broken_pickle_with_shared (theano.compile.tests.test_function_module.T_picklefunction) ... ok >test_deepcopy (theano.compile.tests.test_function_module.T_picklefunction) ... ok >test_deepcopy_shared_container (theano.compile.tests.test_function_module.T_picklefunction) ... ok >test_deepcopy_trust_input (theano.compile.tests.test_function_module.T_picklefunction) ... ok >test_multiple_functions (theano.compile.tests.test_function_module.T_picklefunction) ... ok >test_optimizations_preserved (theano.compile.tests.test_function_module.T_picklefunction) ... ok >test_output_keys (theano.compile.tests.test_function_module.T_picklefunction) ... ok >test_pickle (theano.compile.tests.test_function_module.T_picklefunction) ... ok >test_pickle_class_with_functions (theano.compile.tests.test_function_module.T_picklefunction) ... ok >theano.compile.tests.test_function_module.test_empty_givens_updates ... ok >theano.compile.tests.test_function_module.test_sync_update ... SKIP: pygpu not installed >test_function_name (theano.compile.tests.test_function_name.FunctionName) ... ok >test_nnet (theano.compile.tests.test_misc.TestNnet) ... ok >theano.compile.tests.test_mode.test_no_output_from_implace ... ok >theano.compile.tests.test_mode.test_including ... ok >test1 (theano.compile.tests.test_modes.T_bunch_of_modes) ... ok >test_1 (theano.compile.tests.test_modes.T_old_problem) ... ok >theano.compile.tests.test_monitormode.test_detect_nan ... ok >theano.compile.tests.test_monitormode.test_optimizer ... ok >theano.compile.tests.test_monitormode.test_not_inplace ... ok >theano.compile.tests.test_nanguardmode.test_NanGuardMode ... /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5/theano/compile/nanguardmode.py:150: RuntimeWarning: All-NaN slice encountered > return np.isinf(np.nanmax(arr)) or np.isinf(np.nanmin(arr)) >ok >test_1arg (theano.compile.tests.test_ops.OpDecoratorTests) ... ok >test_2arg (theano.compile.tests.test_ops.OpDecoratorTests) ... ok >test_infer_shape (theano.compile.tests.test_ops.OpDecoratorTests) ... ok >test_pickle (theano.compile.tests.test_ops.OpDecoratorTests) ... ok >theano.compile.tests.test_ops.test_shape_i_hash ... ok >test_input_aliasing_affecting_inplace_operations (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... ok >test_no_aliasing_0 (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... ok >test_no_aliasing_1 (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... ok >test_no_aliasing_2 (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... ok >test_no_aliasing_2b (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... ok >test_partial_input_aliasing_affecting_inplace_operations (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... ok >test_potential_output_aliasing_induced_by_updates (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... ok >test_shared_constructor_copies (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... ok >test_sparse_input_aliasing_affecting_inplace_operations (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... ok >test_allow_downcast_floatX (theano.compile.tests.test_pfunc.Test_pfunc) ... ok >test_allow_input_downcast_int (theano.compile.tests.test_pfunc.Test_pfunc) ... ok >test_clone0 (theano.compile.tests.test_pfunc.Test_pfunc) ... ok >test_default_container (theano.compile.tests.test_pfunc.Test_pfunc) ... ok >test_default_scalar_container (theano.compile.tests.test_pfunc.Test_pfunc) ... ok >test_default_updates (theano.compile.tests.test_pfunc.Test_pfunc) ... ok >test_default_updates_chained (theano.compile.tests.test_pfunc.Test_pfunc) ... ok >test_default_updates_expressions (theano.compile.tests.test_pfunc.Test_pfunc) ... ok >test_default_updates_input (theano.compile.tests.test_pfunc.Test_pfunc) ... ok >test_default_updates_multiple (theano.compile.tests.test_pfunc.Test_pfunc) ... ok >test_default_updates_partial_graph (theano.compile.tests.test_pfunc.Test_pfunc) ... ok >test_doc (theano.compile.tests.test_pfunc.Test_pfunc) ... ok >test_duplicate_inputs (theano.compile.tests.test_pfunc.Test_pfunc) ... ok >test_duplicate_updates (theano.compile.tests.test_pfunc.Test_pfunc) ... ok >test_givens (theano.compile.tests.test_pfunc.Test_pfunc) ... ok >test_givens_replaces_shared_variable (theano.compile.tests.test_pfunc.Test_pfunc) ... ok >test_givens_replaces_shared_variable2 (theano.compile.tests.test_pfunc.Test_pfunc) ... ok >test_no_default_updates (theano.compile.tests.test_pfunc.Test_pfunc) ... ok >test_no_shared_as_input (theano.compile.tests.test_pfunc.Test_pfunc) ... ok >test_param_allow_downcast_floatX (theano.compile.tests.test_pfunc.Test_pfunc) ... ok >test_param_allow_downcast_int (theano.compile.tests.test_pfunc.Test_pfunc) ... ok >test_param_allow_downcast_vector_floatX (theano.compile.tests.test_pfunc.Test_pfunc) ... ok >test_param_mutable (theano.compile.tests.test_pfunc.Test_pfunc) ... ok >test_param_strict (theano.compile.tests.test_pfunc.Test_pfunc) ... ok >test_shared (theano.compile.tests.test_pfunc.Test_pfunc) ... ok >test_shared_mutable (theano.compile.tests.test_pfunc.Test_pfunc) ... ok >test_update (theano.compile.tests.test_pfunc.Test_pfunc) ... ok >test_update_equiv (theano.compile.tests.test_pfunc.Test_pfunc) ... ok >test_update_err_broadcast (theano.compile.tests.test_pfunc.Test_pfunc) ... ok >test_update_same (theano.compile.tests.test_pfunc.Test_pfunc) ... ok >test1 (theano.compile.tests.test_pfunc.Test_rebuild_strict) ... ok >test_ifelse (theano.compile.tests.test_profiling.Test_profiling) ... /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5/theano/gof/vm.py:887: UserWarning: CVM does not support memory profile, using Stack VM. > 'CVM does not support memory profile, using Stack VM.') >ok >test_profiling (theano.compile.tests.test_profiling.Test_profiling) ... /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5/theano/gof/vm.py:887: UserWarning: CVM does not support memory profile, using Stack VM. > 'CVM does not support memory profile, using Stack VM.') >ok >test_create_numpy_strict_false (theano.compile.tests.test_shared.Test_SharedVariable) ... ok >test_ctors (theano.compile.tests.test_shared.Test_SharedVariable) ... ok >test_err_symbolic_variable (theano.compile.tests.test_shared.Test_SharedVariable) ... ok >test_scalar_floatX (theano.compile.tests.test_shared.Test_SharedVariable) ... ok >test_scalar_strict (theano.compile.tests.test_shared.Test_SharedVariable) ... ok >test_strict_generic (theano.compile.tests.test_shared.Test_SharedVariable) ... ok >test_tensor_floatX (theano.compile.tests.test_shared.Test_SharedVariable) ... ok >test_tensor_strict (theano.compile.tests.test_shared.Test_SharedVariable) ... ok >test_use_numpy_strict_false (theano.compile.tests.test_shared.Test_SharedVariable) ... ok >Failure: SkipTest (pydot not available: Install the python package pydot or pydot-ng. Install graphviz.) ... SKIP: pydot not available: Install the python package pydot or pydot-ng. Install graphviz. >Failure: SkipTest (pydot not available: Install the python package pydot or pydot-ng. Install graphviz.) ... SKIP: pydot not available: Install the python package pydot or pydot-ng. Install graphviz. >theano.gof.tests.test_cc.test_clinker_straightforward ... ok >theano.gof.tests.test_cc.test_clinker_literal_inlining ... ok >theano.gof.tests.test_cc.test_clinker_literal_cache ... ok >theano.gof.tests.test_cc.test_clinker_single_node ... ok >theano.gof.tests.test_cc.test_clinker_dups ... ok >theano.gof.tests.test_cc.test_clinker_not_used_inputs ... ok >theano.gof.tests.test_cc.test_clinker_dups_inner ... ok >theano.gof.tests.test_cc.test_opwiseclinker_straightforward ... ok >theano.gof.tests.test_cc.test_opwiseclinker_constant ... ok >theano.gof.tests.test_cc.test_duallinker_straightforward ... ok >theano.gof.tests.test_cc.test_duallinker_mismatch ... ok >theano.gof.tests.test_cc.test_c_fail_error ... ok >theano.gof.tests.test_cc.test_shared_input_output ... ok >theano.gof.tests.test_cmodule.test_inter_process_cache ... ok >theano.gof.tests.test_cmodule.test_flag_detection ... ok >theano.gof.tests.test_compiledir.test_short_platform ... ok >test_compute_flag (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok >test_constant (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok >test_disabled_during_compilation (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok >test_empty_elemwise (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok >test_incorrect_type (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok >test_ndarray (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok >test_no_c_code (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok >test_no_perform (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok >test_overided_function (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok >test_scan (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok >test_scan_err1 (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok >test_scan_err2 (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok >test_shared (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok >test_string_var (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok >test_variable_only (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok >theano.gof.tests.test_destroyhandler.test_value_repl_2 ... ok >theano.gof.tests.test_destroyhandler.test_misc ... ok >theano.gof.tests.test_destroyhandler.test_aliased_inputs_replacement ... ok >theano.gof.tests.test_destroyhandler.test_indestructible ... ok >theano.gof.tests.test_destroyhandler.test_usage_loop_through_views_2 ... ok >theano.gof.tests.test_destroyhandler.test_destroyers_loop ... ok >theano.gof.tests.test_destroyhandler.test_aliased_inputs ... ok >theano.gof.tests.test_destroyhandler.test_aliased_inputs2 ... ok >theano.gof.tests.test_destroyhandler.test_aliased_inputs_tolerate ... ok >theano.gof.tests.test_destroyhandler.test_aliased_inputs_tolerate2 ... ok >theano.gof.tests.test_destroyhandler.test_same_aliased_inputs_ignored ... ok >theano.gof.tests.test_destroyhandler.test_different_aliased_inputs_ignored ... ok >theano.gof.tests.test_destroyhandler.test_indestructible_through_views ... ok >theano.gof.tests.test_destroyhandler.test_indirect ... ok >theano.gof.tests.test_destroyhandler.test_indirect_2 ... ok >theano.gof.tests.test_destroyhandler.test_long_destroyers_loop ... ok >theano.gof.tests.test_destroyhandler.test_misc_2 ... ok >theano.gof.tests.test_destroyhandler.test_multi_destroyers ... ok >theano.gof.tests.test_destroyhandler.test_multi_destroyers_through_views ... ok >theano.gof.tests.test_destroyhandler.test_repair_destroy_path ... ok >theano.gof.tests.test_destroyhandler.test_usage_loop ... ok >theano.gof.tests.test_destroyhandler.test_usage_loop_through_views ... ok >theano.gof.tests.test_destroyhandler.test_usage_loop_insert_views ... ok >theano.gof.tests.test_destroyhandler.test_value_repl ... ok >theano.gof.tests.test_destroyhandler.test_multiple_inplace ... ok >test_clone (theano.gof.tests.test_fg.TFunctionGraph) ... ok >test_constant_cache_error (theano.gof.tests.test_fg.TFunctionGraph) ... ok >test_node_outputs_not_used (theano.gof.tests.test_fg.TFunctionGraph) ... ok >test_pickle (theano.gof.tests.test_fg.TFunctionGraph) ... ok >theano.gof.tests.test_graph.TestAutoName.test_auto_name ... ok >theano.gof.tests.test_graph.TestAutoName.test_clone ... ok >theano.gof.tests.test_graph.TestAutoName.test_constant ... ok >theano.gof.tests.test_graph.TestAutoName.test_randomvariable ... ok >theano.gof.tests.test_graph.TestAutoName.test_sparsevariable ... ok >theano.gof.tests.test_graph.TestAutoName.test_tensorvariable ... ok >theano.gof.tests.test_graph.TestClone.test_accurate ... ok >theano.gof.tests.test_graph.TestClone.test_constant ... ok >theano.gof.tests.test_graph.TestClone.test_copy ... ok >theano.gof.tests.test_graph.TestClone.test_not_destructive ... ok >test_eval (theano.gof.tests.test_graph.TestEval) ... ok >theano.gof.tests.test_graph.TestInputs.test_inputs ... ok >theano.gof.tests.test_graph.TestInputs.test_inputs_deep ... ok >test_full_graph (theano.gof.tests.test_graph.TestIsSameGraph) ... ok >test_merge_only (theano.gof.tests.test_graph.TestIsSameGraph) ... ok >test_single_var (theano.gof.tests.test_graph.TestIsSameGraph) ... ok >theano.gof.tests.test_graph.TestStr.test_as_string ... ok >theano.gof.tests.test_graph.TestStr.test_as_string_deep ... ok >theano.gof.tests.test_graph.TestStr.test_cutoff ... ok >theano.gof.tests.test_graph.TestStr.test_multiple_references ... ok >theano.gof.tests.test_graph.TestToposort.test_0 ... ok >theano.gof.tests.test_graph.TestToposort.test_1 ... ok >theano.gof.tests.test_graph.TestToposort.test_2 ... ok >theano.gof.tests.test_graph.TestToposort.test_3 ... ok >theano.gof.tests.test_graph.TestToposort.test_4 ... ok >theano.gof.tests.test_graph.TestToposort.test_5 ... ok >theano.gof.tests.test_graph_opt_caching.test_graph_opt_caching ... ok >theano.gof.tests.test_lazy.test_ifelse ... ok >theano.gof.tests.test_lazy.more_complex_test ... ok >test_constant (theano.gof.tests.test_link.TestPerformLinker) ... ok >test_function (theano.gof.tests.test_link.TestPerformLinker) ... ok >test_input_dependency0 (theano.gof.tests.test_link.TestPerformLinker) ... ok >test_input_output_same (theano.gof.tests.test_link.TestPerformLinker) ... ok >test_skiphole (theano.gof.tests.test_link.TestPerformLinker) ... ok >test_thunk (theano.gof.tests.test_link.TestPerformLinker) ... ok >test_0 (theano.gof.tests.test_link.TestWrapLinker) ... ok >test_1 (theano.gof.tests.test_link.TestWrapLinker) ... ok >theano.gof.tests.test_link.test_sort_schedule_fn ... ok >theano.gof.tests.test_link.test_container_deepcopy ... ok >test_no_c_code (theano.gof.tests.test_op.TestMakeThunk) ... ok >test_no_make_node (theano.gof.tests.test_op.TestMakeThunk) ... ok >test_no_perform (theano.gof.tests.test_op.TestMakeThunk) ... ok >theano.gof.tests.test_op.TestOp.test_op_no_input ... ok >theano.gof.tests.test_op.TestOp.test_op_struct ... ok >theano.gof.tests.test_op.TestOp.test_sanity_0 ... ok >theano.gof.tests.test_op.TestOp.test_validate ... ok >theano.gof.tests.test_op.test_test_value_python_objects ... ok >theano.gof.tests.test_op.test_test_value_ndarray ... ok >theano.gof.tests.test_op.test_test_value_constant ... ok >theano.gof.tests.test_op.test_test_value_shared ... ok >theano.gof.tests.test_op.test_test_value_op ... ok >get_debug_values should return [] when debugger is off ... ok >theano.gof.tests.test_op.test_get_det_debug_values_ignore ... ok >theano.gof.tests.test_op.test_get_debug_values_success ... ok >theano.gof.tests.test_op.test_get_debug_values_exc ... ok >theano.gof.tests.test_op.test_debug_error_message ... ok >theano.gof.tests.test_opt.TestEquilibrium.test_1 ... ok >theano.gof.tests.test_opt.TestEquilibrium.test_2 ... ok >theano.gof.tests.test_opt.TestEquilibrium.test_low_use_ratio ... ok >theano.gof.tests.test_opt.TestMergeOptimizer.test_both_assert_merge_identical ... ok >theano.gof.tests.test_opt.TestMergeOptimizer.test_constant_merging ... ok >theano.gof.tests.test_opt.TestMergeOptimizer.test_deep_merge ... ok >theano.gof.tests.test_opt.TestMergeOptimizer.test_identical_constant_args ... ok >theano.gof.tests.test_opt.TestMergeOptimizer.test_merge_noinput ... ok >theano.gof.tests.test_opt.TestMergeOptimizer.test_merge_outputs ... ok >theano.gof.tests.test_opt.TestMergeOptimizer.test_multiple_merges ... ok >theano.gof.tests.test_opt.TestMergeOptimizer.test_no_merge ... ok >theano.gof.tests.test_opt.TestMergeOptimizer.test_straightforward ... ok >theano.gof.tests.test_opt.TestOpSubOptimizer.test_straightforward ... ok >theano.gof.tests.test_opt.TestOpSubOptimizer.test_straightforward_2 ... ok >theano.gof.tests.test_opt.TestPatternOptimizer.test_ambiguous ... ok >theano.gof.tests.test_opt.TestPatternOptimizer.test_constant_unification ... ok >theano.gof.tests.test_opt.TestPatternOptimizer.test_constraints ... ok >theano.gof.tests.test_opt.TestPatternOptimizer.test_eq ... ok >theano.gof.tests.test_opt.TestPatternOptimizer.test_expand ... ok >theano.gof.tests.test_opt.TestPatternOptimizer.test_match_same ... ok >theano.gof.tests.test_opt.TestPatternOptimizer.test_match_same_illegal ... ok >theano.gof.tests.test_opt.TestPatternOptimizer.test_multi ... ok >theano.gof.tests.test_opt.TestPatternOptimizer.test_multiple ... ok >theano.gof.tests.test_opt.TestPatternOptimizer.test_nested_even ... ok >theano.gof.tests.test_opt.TestPatternOptimizer.test_nested_odd ... ok >theano.gof.tests.test_opt.TestPatternOptimizer.test_nested_out_pattern ... ok >theano.gof.tests.test_opt.TestPatternOptimizer.test_no_recurse ... ok >theano.gof.tests.test_opt.TestPatternOptimizer.test_replace_output ... ok >theano.gof.tests.test_opt.TestPatternOptimizer.test_replace_subgraph ... ok >theano.gof.tests.test_opt.TestPatternOptimizer.test_unification_1 ... ok >theano.gof.tests.test_opt.TestPatternOptimizer.test_unification_2 ... ok >theano.gof.tests.test_opt.test_pre_constant_merge_slice ... ok >test_0 (theano.gof.tests.test_optdb.Test_DB) ... ok >test_hash_and_eq_params (theano.gof.tests.test_params_type.TestParamsType) ... ok >test_hash_and_eq_params_type (theano.gof.tests.test_params_type.TestParamsType) ... ok >test_op_params (theano.gof.tests.test_params_type.TestParamsType) ... ok >test_params_type_filtering (theano.gof.tests.test_params_type.TestParamsType) ... ok >test_params_type_with_enums (theano.gof.tests.test_params_type.TestParamsType) ... ok >theano.gof.tests.test_sched.test_dependence ... ok >theano.gof.tests.test_sched.test_sort_apply_nodes ... ok >theano.gof.tests.test_sched.test_reverse_dict ... ok >theano.gof.tests.test_sched.test__toposort ... ok >theano.gof.tests.test_sched.test_posort_easy ... ok >theano.gof.tests.test_sched.test_posort ... ok >theano.gof.tests.test_toolbox.TestNodeFinder.test_straightforward ... ok >test_enum_class (theano.gof.tests.test_types.TestEnumTypes) ... ok >test_op_with_cenumtype (theano.gof.tests.test_types.TestEnumTypes) ... ok >test_op_with_cenumtype_debug (theano.gof.tests.test_types.TestEnumTypes) ... ok >test_op_with_enumlist (theano.gof.tests.test_types.TestEnumTypes) ... ok >theano.gof.tests.test_types.test_cdata ... ok >theano.gof.tests.test_utils.test_give_variables_names ... ok >theano.gof.tests.test_utils.test_give_variables_names_idempotence ... ok >theano.gof.tests.test_utils.test_give_variables_names_small ... ok >theano.gof.tests.test_utils.test_remove ... ok >theano.gof.tests.test_utils.test_stack_trace ... ok >test_callback (theano.gof.tests.test_vm.TestCallbacks) ... ok >test_callback_with_ifelse (theano.gof.tests.test_vm.TestCallbacks) ... ok >theano.gof.tests.test_vm.test_c_thunks ... ok >theano.gof.tests.test_vm.test_speed ... ok >theano.gof.tests.test_vm.test_speed_lazy ... ok >theano.gof.tests.test_vm.test_partial_function ... /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5/theano/gof/vm.py:890: UserWarning: LoopGC does not support partial evaluation, using Stack VM. > 'LoopGC does not support partial evaluation, ' >ok >theano.gof.tests.test_vm.test_partial_function_with_output_keys ... /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5/theano/gof/vm.py:890: UserWarning: LoopGC does not support partial evaluation, using Stack VM. > 'LoopGC does not support partial evaluation, ' >ok >theano.gof.tests.test_vm.test_partial_function_with_updates ... /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5/theano/gof/vm.py:890: UserWarning: LoopGC does not support partial evaluation, using Stack VM. > 'LoopGC does not support partial evaluation, ' >/var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5/theano/gof/vm.py:890: UserWarning: LoopGC does not support partial evaluation, using Stack VM. > 'LoopGC does not support partial evaluation, ' >ok >theano.gof.tests.test_vm.test_allow_gc_cvm ... ok >theano.gof.tests.test_vm.test_vm_gc ... ok >theano.gof.tests.test_vm.test_reallocation ... ok >theano.gof.tests.test_vm.test_no_recycling ... ok >Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed >Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed >Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed >Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed >theano.gpuarray.tests.test_cgpukernelbase.test_cgpukernelbase ... SKIP: pygpu not installed >Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed >Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed >Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed >Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed >Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed >Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed >Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed >Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed >Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed >Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed >Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed >Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed >Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed >Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed >theano.gpuarray.tests.test_pickle.test_unpickle_gpuarray_as_numpy_ndarray_flag1 ... ok >theano.gpuarray.tests.test_pickle.test_unpickle_gpuarray_as_numpy_ndarray_flag2 ... /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5/theano/gpuarray/type.py:895: UserWarning: config.experimental.unpickle_gpu_on_cpu is set to True. Unpickling GpuArray as numpy.ndarray > "config.experimental.unpickle_gpu_on_cpu is set to True. " >ok >Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed >Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed >Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed >Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed >Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed >Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed >Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed >theano.misc.tests.test_may_share_memory.test_may_share_memory ... ok >theano.misc.tests.test_may_share_memory.test_may_share_memory_scipy ... ok >test_dump_load_mrg (theano.misc.tests.test_pkl_utils.T_dump_load) ... ok >test_dump_zip_names (theano.misc.tests.test_pkl_utils.T_dump_load) ... ok >test0 (theano.misc.tests.test_pkl_utils.TestStripPickler) ... ok >Failure: SkipTest (You are importing theano.sandbox.cuda. This is the old GPU back-end and is removed from Theano. Use Theano 0.9 to use it. Even better, transition to the new GPU back-end! See https://github.com/Theano/Theano/wiki/Converting-to-the-new-gpu-back-end%28gpuarray%29) ... SKIP: You are importing theano.sandbox.cuda. This is the old GPU back-end and is removed from Theano. Use Theano 0.9 to use it. Even better, transition to the new GPU back-end! See https://github.com/Theano/Theano/wiki/Converting-to-the-new-gpu-back-end%28gpuarray%29 >theano.sandbox.linalg.tests.test_linalg.test_rop_lop ... ok >theano.sandbox.linalg.tests.test_linalg.test_spectral_radius_bound ... ok >theano.sandbox.linalg.tests.test_linalg.test_transinv_to_invtrans ... ok >theano.sandbox.linalg.tests.test_linalg.test_tag_solve_triangular ... ok >theano.sandbox.linalg.tests.test_linalg.test_matrix_inverse_solve ... ok >theano.sandbox.tests.test_multinomial.test_n_samples_1 ... ok >theano.sandbox.tests.test_multinomial.test_n_samples_2 ... ok >theano.sandbox.tests.test_multinomial.test_n_samples_compatibility ... ok >theano.sandbox.tests.test_multinomial.test_multinomial_0 ... ok >theano.sandbox.tests.test_multinomial.test_multinomial_large ... ok >theano.sandbox.tests.test_multinomial.test_multinomial_dtypes ... ok >test_fail_select_alot (theano.sandbox.tests.test_multinomial_wo_replacement.test_OP) ... ok >test_select_distinct (theano.sandbox.tests.test_multinomial_wo_replacement.test_OP) ... ok >test_select_proportional_to_weight (theano.sandbox.tests.test_multinomial_wo_replacement.test_OP) ... ok >test_fail_select_alot (theano.sandbox.tests.test_multinomial_wo_replacement.test_function) ... /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5/theano/sandbox/rng_mrg.py:1031: UserWarning: MRG_RandomStreams.multinomial_wo_replacement() is deprecated and will be removed in the next release of Theano. Please use MRG_RandomStreams.choice() instead. > warnings.warn('MRG_RandomStreams.multinomial_wo_replacement() is ' >ok >test_select_distinct (theano.sandbox.tests.test_multinomial_wo_replacement.test_function) ... /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5/theano/sandbox/rng_mrg.py:1031: UserWarning: MRG_RandomStreams.multinomial_wo_replacement() is deprecated and will be removed in the next release of Theano. Please use MRG_RandomStreams.choice() instead. > warnings.warn('MRG_RandomStreams.multinomial_wo_replacement() is ' >ok >test_select_proportional_to_weight (theano.sandbox.tests.test_multinomial_wo_replacement.test_function) ... ok >test_unpickle_legacy_op (theano.sandbox.tests.test_multinomial_wo_replacement.test_function) ... ok >test_bad_size (theano.sandbox.tests.test_rng_mrg.T_MRG) ... ok >theano.sandbox.tests.test_rng_mrg.test_deterministic ... ok >theano.sandbox.tests.test_rng_mrg.test_consistency_randomstreams ... ok >theano.sandbox.tests.test_rng_mrg.test_get_substream_rstates ... ok >theano.sandbox.tests.test_rng_mrg.test_consistency_cpu_serial ... ok >theano.sandbox.tests.test_rng_mrg.test_consistency_cpu_parallel ... ok >theano.sandbox.tests.test_rng_mrg.test_uniform ... ok >theano.sandbox.tests.test_rng_mrg.test_broadcastable ... /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5/theano/sandbox/rng_mrg.py:1031: UserWarning: MRG_RandomStreams.multinomial_wo_replacement() is deprecated and will be removed in the next release of Theano. Please use MRG_RandomStreams.choice() instead. > warnings.warn('MRG_RandomStreams.multinomial_wo_replacement() is ' >ok >theano.sandbox.tests.test_rng_mrg.test_binomial(0.1, (500, 50), (500, 50), [], [], 1000, 0.01) ... ok >theano.sandbox.tests.test_rng_mrg.test_binomial(0.1, Shape.0, (500, 50), [<TensorType(float64, matrix)>], [array([[0., 0., 0., ..., 0., 0., 0.], ... ok >theano.sandbox.tests.test_rng_mrg.test_binomial(0.1, (), (), [], [], 1000, 0.01) ... ok >theano.sandbox.tests.test_rng_mrg.test_binomial(0.5, (500, 50), (500, 50), [], [], 1000, 0.01) ... ok >theano.sandbox.tests.test_rng_mrg.test_binomial(0.5, Shape.0, (500, 50), [<TensorType(float64, matrix)>], [array([[0., 0., 0., ..., 0., 0., 0.], ... ok >theano.sandbox.tests.test_rng_mrg.test_binomial(0.5, (), (), [], [], 1000, 0.01) ... ok >theano.sandbox.tests.test_rng_mrg.test_normal0 ... ok >theano.sandbox.tests.test_rng_mrg.test_normal_truncation ... ok >theano.sandbox.tests.test_rng_mrg.test_truncated_normal ... ok >theano.sandbox.tests.test_rng_mrg.test_multinomial ... ok >theano.sandbox.tests.test_rng_mrg.test_multinomial_n_samples ... ok >theano.sandbox.tests.test_rng_mrg.test_multiple_rng_aliasing ... ok >theano.sandbox.tests.test_rng_mrg.test_random_state_transfer ... ok >theano.sandbox.tests.test_rng_mrg.test_gradient_scan ... ok >theano.sandbox.tests.test_rng_mrg.test_multMatVect ... ok >theano.sandbox.tests.test_rng_mrg.test_seed_fn ... ok >theano.sandbox.tests.test_rng_mrg.test_overflow_cpu ... ok >theano.sandbox.tests.test_rng_mrg.test_undefined_grad ... ok >theano.sandbox.tests.test_rng_mrg.test_f16_nonzero ... ok >theano.sandbox.tests.test_rng_mrg.test_target_parameter ... /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5/theano/sandbox/rng_mrg.py:1031: UserWarning: MRG_RandomStreams.multinomial_wo_replacement() is deprecated and will be removed in the next release of Theano. Please use MRG_RandomStreams.choice() instead. > warnings.warn('MRG_RandomStreams.multinomial_wo_replacement() is ' >ok >test_straightforward (theano.scalar.tests.test_basic.test_ScalarOps) ... ok >test_fail (theano.scalar.tests.test_basic.test_complex_mod) ... ok >test_composite_clone_float32 (theano.scalar.tests.test_basic.test_composite) ... ok >test_composite_printing (theano.scalar.tests.test_basic.test_composite) ... ok >test_flatten (theano.scalar.tests.test_basic.test_composite) ... ok >test_make_node_continue_graph (theano.scalar.tests.test_basic.test_composite) ... ok >test_many_outputs (theano.scalar.tests.test_basic.test_composite) ... ok >test_straightforward (theano.scalar.tests.test_basic.test_composite) ... ok >test_with_constants (theano.scalar.tests.test_basic.test_composite) ... ok >test_0 (theano.scalar.tests.test_basic.test_div) ... ok >test_and (theano.scalar.tests.test_basic.test_logical) ... ok >test_eq (theano.scalar.tests.test_basic.test_logical) ... ok >test_ge (theano.scalar.tests.test_basic.test_logical) ... ok >test_gt (theano.scalar.tests.test_basic.test_logical) ... ok >test_le (theano.scalar.tests.test_basic.test_logical) ... ok >test_lt (theano.scalar.tests.test_basic.test_logical) ... ok >test_neq (theano.scalar.tests.test_basic.test_logical) ... ok >test_not (theano.scalar.tests.test_basic.test_logical) ... ok >test_or (theano.scalar.tests.test_basic.test_logical) ... ok >test_xor (theano.scalar.tests.test_basic.test_logical) ... ok >test_arctan2 ... ok >theano.scalar.tests.test_basic.test_upgrade_to_float.test_true_div ... ok >test_inv ... ok >test_sqrt ... ok >test_log ... ok >test_log2 ... ok >test_log10 ... ok >test_log1p ... ok >test_exp ... ok >test_exp2 ... ok >test_expm1 ... ok >test_deg2rad ... ok >test_rad2deg ... ok >test_cos ... ok >test_arccos ... ok >test_cosh ... ok >test_arccosh ... ok >test_sin ... ok >test_arcsin ... ok >test_sinh ... ok >test_arcsinh ... ok >test_tan ... ok >test_arctan ... ok >test_tanh ... ok >test_arctanh ... ok >theano.scalar.tests.test_basic.test_grad_gt ... ok >theano.scalar.tests.test_basic.test_grad_switch ... ok >theano.scalar.tests.test_basic.test_grad_identity ... ok >theano.scalar.tests.test_basic.test_grad_inrange ... ok >theano.scalar.tests.test_basic.test_grad_abs ... ok >theano.scalar.tests.test_basic.test_constant ... ok >Failure: SkipTest (optional package sympy disabled) ... SKIP: optional package sympy disabled >test_divide_floats (theano.scalar.tests.test_div_future.test_FutureDiv) ... ok >test_divide_floats (theano.scalar.tests.test_div_no_future.test_FutureDiv) ... ok >test_alloc_inputs1 (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_alloc_inputs2 (theano.scan_module.tests.test_scan.T_Scan) ... SKIP: This tests depends on an optimization for scan that has not been implemented yet. >test_alloc_inputs3 (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_backwards (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_borrow_bug_jeremiah (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_bugFunctioProvidesIntermediateNodesAsInputs (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_clone (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_cloning_no_replace_strict_copy_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_cloning_no_replace_strict_not_copy_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_cloning_replace_not_strict_copy_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_cloning_replace_not_strict_not_copy_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_cloning_replace_strict_copy_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_cloning_replace_strict_not_copy_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_computing_gradient (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_connection_pattern (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_connection_pattern2 (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_crash_nonseq_grad (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_disconnected_gradient (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_disconnected_gradient2 (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_disconnected_gradient3 (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_dot_optimization (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_draw_as_input_to_scan (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_eliminate_nonseqs (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_eliminate_seqs (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_foldl_memory_consumption (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_foldr_memory_consumption (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_generator_one_output_scalar (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_gibbs_chain (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_grad_bug_disconnected_input (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_grad_connectivity_matrix (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_grad_dtype_change (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_grad_duplicate_outputs (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_grad_duplicate_outputs_connection_pattern (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_grad_find_input (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_grad_grad_mitsot_sitsot (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_grad_multiple_outs (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_grad_multiple_outs_some_disconnected (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_grad_multiple_outs_some_disconnected_2 (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_grad_multiple_outs_some_truncate (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_grad_multiple_outs_some_uncomputable (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_grad_multiple_outs_taps (theano.scan_module.tests.test_scan.T_Scan) ... . >. >. >ok >test_grad_multiple_outs_taps_backwards (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_grad_multiple_seqs_different_nsteps (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_grad_multiple_taps_state (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_grad_numeric_shared (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_grad_of_grad_of_state (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_grad_of_shared (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_grad_one_output (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_grad_two_scans (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_hash (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_hessian_bug_grad_grad_two_scans (theano.scan_module.tests.test_scan.T_Scan) ... . >ok >test_infer_shape (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_infer_shape2 (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_infershape_nsteps_smaller_seq_length (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_infershape_seq_shorter_nsteps (theano.scan_module.tests.test_scan.T_Scan) ... SKIP: This is a generic problem with infershape that has to be discussed and figured out >test_inner_storage_leak (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_inplace1 (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_inplace2 (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_inplace3 (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_map (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_map_functionality (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_memory_aliasing_updates (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_memory_reuse_with_outputs_as_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_merge (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_merge_3scans (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_monitor_mode (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_multiple_inputs_multiple_outputs (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_multiple_outs_taps (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_oinp_iinp_iout_oout_mappings (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_one_sequence_one_output_weights (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_one_sequence_one_output_weights_shared (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_only_nonseq_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_only_shared_no_input_no_output (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_opt_order (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_outputs_info_not_typed (theano.scan_module.tests.test_scan.T_Scan) ... SKIP: Skipping test: test_outputs_info_not_typed: This test fails because not typed outputs_info are always gived the smallest dtype. There is no upcast of outputs_info in scan for now. >test_past_future_taps_shared (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_pickling (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_pregreedy_optimizer (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_pushout (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_pushout_all (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_pushout_dot (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_pushout_nomodif (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_pushout_nonseq (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_pushout_seqs (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_pushout_seqs2 (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_pushout_while (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_reduce (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_reduce_memory_consumption (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_remove_constants_and_unused_inputs_scan_non_seqs (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_remove_constants_and_unused_inputs_scan_seqs (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_remove_stuff (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_reordering (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_return_steps (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_rop (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_rop2 (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_rop_mitmot (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_same (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_save_mem (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_save_mem_reduced_number_of_steps (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_save_mem_store_steps (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_savemem_does_not_duplicate_number_of_scan_nodes (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_savemem_opt (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_savemem_opt_0_step (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_scan_as_tensor_on_gradients (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_scan_extra_inputs_hessian (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_scan_merge_nodes (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_scan_output_padding (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_seq_tap_bug_jeremiah (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_sequence_dict (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_shared_arguments_with_updates (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_shared_updates (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_simple_shared_mrg_random (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_simple_shared_random (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_strict_mode (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_strict_mode_ex (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_subtensor_multiple_slices (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_use_scan_direct_output (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_use_scan_direct_output2 (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_using_negative_taps_sequence (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_using_taps_input_output (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_using_taps_sequence (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_verify_second_grad_mitsot1 (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_verify_second_grad_sitsot (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_while0 (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_while1 (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_while2 (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_while_infershape (theano.scan_module.tests.test_scan.T_Scan) ... ok >test_gibbs_chain (theano.scan_module.tests.test_scan.T_Scan_Gpuarray) ... SKIP: pygpu not installed >test_gpu3_mixture_dtype_outputs (theano.scan_module.tests.test_scan.T_Scan_Gpuarray) ... SKIP: pygpu not installed >test_gpu_memory_usage (theano.scan_module.tests.test_scan.T_Scan_Gpuarray) ... SKIP: pygpu not installed >test_memory_reuse_gpudimshuffle (theano.scan_module.tests.test_scan.T_Scan_Gpuarray) ... SKIP: pygpu not installed >test_one_sequence_one_output_weights_gpu1 (theano.scan_module.tests.test_scan.T_Scan_Gpuarray) ... SKIP: pygpu not installed >test_one_sequence_one_output_weights_gpu2 (theano.scan_module.tests.test_scan.T_Scan_Gpuarray) ... SKIP: pygpu not installed >test_grad_until (theano.scan_module.tests.test_scan.TestGradUntil) ... ok >test_grad_until_and_truncate (theano.scan_module.tests.test_scan.TestGradUntil) ... ok >test_grad_until_and_truncate_sequence_taps (theano.scan_module.tests.test_scan.TestGradUntil) ... ok >test_grad_until_ndim_greater_one (theano.scan_module.tests.test_scan.TestGradUntil) ... ok >test_raise_error (theano.scan_module.tests.test_scan.TestInconsistentBroadcast) ... ok >test_raise_error (theano.scan_module.tests.test_scan.TestMissingInputError) ... ok >theano.scan_module.tests.test_scan.test_speed ... ok >theano.scan_module.tests.test_scan.test_speed_rnn ... ok >theano.scan_module.tests.test_scan.test_speed_batchrnn ... ok >theano.scan_module.tests.test_scan.test_compute_test_value ... ok >theano.scan_module.tests.test_scan.test_compute_test_value_nonseq ... ok >theano.scan_module.tests.test_scan.test_compute_test_value_grad ... ok >theano.scan_module.tests.test_scan.test_compute_test_value_grad_cast ... ok >theano.scan_module.tests.test_scan.test_constant_folding_n_steps ... ok >theano.scan_module.tests.test_scan.test_outputs_taps_check ... ok >theano.scan_module.tests.test_scan.test_default_value_broadcasted ... ok >theano.scan_module.tests.test_scan.test_condition_hidden_inp ... ok >theano.scan_module.tests.test_scan.test_mintap_onestep ... ok >test_backward_pass (theano.scan_module.tests.test_scan_checkpoints.TestScanCheckpoint) ... ok >test_forward_pass (theano.scan_module.tests.test_scan_checkpoints.TestScanCheckpoint) ... ok >test_memory (theano.scan_module.tests.test_scan_checkpoints.TestScanCheckpoint) ... SKIP: Requires pygpu. >test_taps_error (theano.scan_module.tests.test_scan_checkpoints.TestScanCheckpoint) ... ok >test_batch (theano.scan_module.tests.test_scan_opt.TestGaussNewton) ... ok >test_nobatch (theano.scan_module.tests.test_scan_opt.TestGaussNewton) ... ok >theano.scan_module.tests.test_scan_opt.TestPushOutScanOutputDot.test_dot_nitsot_output ... ok >theano.scan_module.tests.test_scan_opt.TestPushOutScanOutputDot.test_dot_not_output ... ok >theano.scan_module.tests.test_scan_opt.TestPushOutScanOutputDot.test_dot_sitsot_output ... ok >theano.scan_module.tests.test_scan_opt.TestPushOutSumOfDot.test_machine_translation ... ok >theano.scan_module.tests.test_scan_opt.TestPushOutSumOfDot.test_non_zero_init ... ok >test_leaf (theano.scan_module.tests.test_scan_utils.TestMapVariables) ... ok >test_leaf_inside_scan (theano.scan_module.tests.test_scan_utils.TestMapVariables) ... ok >test_opfromgraph (theano.scan_module.tests.test_scan_utils.TestMapVariables) ... ok >test_scan (theano.scan_module.tests.test_scan_utils.TestMapVariables) ... ok >test_scan_with_shared_update (theano.scan_module.tests.test_scan_utils.TestMapVariables) ... ok >test_scan_with_shared_update2 (theano.scan_module.tests.test_scan_utils.TestMapVariables) ... ok >theano.scan_module.tests.test_scan_utils.test_equal_compuations ... ok >test_convolution (theano.sparse.sandbox.test_sp.TestSP) ... ok >test_maxpool (theano.sparse.sandbox.test_sp.TestSP) ... ok >test_multilayer_conv (theano.sparse.sandbox.test_sp.TestSP) ... ok >test_grad (theano.sparse.tests.test_basic.AddSSDataTester) ... ok >test_infer_shape (theano.sparse.tests.test_basic.AddSSDataTester) ... ok >test_op (theano.sparse.tests.test_basic.AddSSDataTester) ... ok >test_grad (theano.sparse.tests.test_basic.ArcsinTester) ... ok >test_op (theano.sparse.tests.test_basic.ArcsinTester) ... ok >test_grad (theano.sparse.tests.test_basic.ArcsinhTester) ... ok >test_op (theano.sparse.tests.test_basic.ArcsinhTester) ... ok >test_grad (theano.sparse.tests.test_basic.ArctanTester) ... ok >test_op (theano.sparse.tests.test_basic.ArctanTester) ... ok >test_grad (theano.sparse.tests.test_basic.ArctanhTester) ... ok >test_op (theano.sparse.tests.test_basic.ArctanhTester) ... ok >test_cast (theano.sparse.tests.test_basic.CastTester) ... /usr/lib/python3.7/site-packages/scipy/sparse/data.py:72: ComplexWarning: Casting complex values to real discards the imaginary part > self._deduped_data().astype(dtype, casting=casting, copy=copy), >/var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5/theano/sparse/tests/test_basic.py:2439: ComplexWarning: Casting complex values to real discards the imaginary part > expected = data.toarray().astype(o_dtype) >ok >test_grad (theano.sparse.tests.test_basic.CastTester) ... ok >test_infer_shape (theano.sparse.tests.test_basic.CastTester) ... ok >test_op (theano.sparse.tests.test_basic.CeilTester) ... ok >test_grad (theano.sparse.tests.test_basic.CleanTester) ... ok >test_op (theano.sparse.tests.test_basic.CleanTester) ... /usr/lib/python3.7/site-packages/scipy/sparse/_index.py:82: SparseEfficiencyWarning: Changing the sparsity structure of a csc_matrix is expensive. lil_matrix is more efficient. > self._set_intXint(row, col, x.flat[0]) >/usr/lib/python3.7/site-packages/scipy/sparse/_index.py:82: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient. > self._set_intXint(row, col, x.flat[0]) >ok >test_grad (theano.sparse.tests.test_basic.ColScaleCSCTester) ... ok >test_infer_shape (theano.sparse.tests.test_basic.ColScaleCSCTester) ... ok >test_op (theano.sparse.tests.test_basic.ColScaleCSCTester) ... ok >test_op (theano.sparse.tests.test_basic.ConjTester) ... ok >test_grad (theano.sparse.tests.test_basic.Deg2radTester) ... ok >test_op (theano.sparse.tests.test_basic.Deg2radTester) ... ok >test_grad (theano.sparse.tests.test_basic.DiagTester) ... ok >test_infer_shape (theano.sparse.tests.test_basic.DiagTester) ... ok >test_op (theano.sparse.tests.test_basic.DiagTester) ... ok >test_csc_dense (theano.sparse.tests.test_basic.DotTests) ... ok >test_csr_dense (theano.sparse.tests.test_basic.DotTests) ... ok >test_csr_dense_grad (theano.sparse.tests.test_basic.DotTests) ... ok >test_int32_dtype (theano.sparse.tests.test_basic.DotTests) ... ok >test_sparse_sparse (theano.sparse.tests.test_basic.DotTests) ... ok >test_grad (theano.sparse.tests.test_basic.EnsureSortedIndicesTester) ... ok >test_infer_shape (theano.sparse.tests.test_basic.EnsureSortedIndicesTester) ... ok >test_op (theano.sparse.tests.test_basic.EnsureSortedIndicesTester) ... ok >test_grad (theano.sparse.tests.test_basic.Expm1Tester) ... ok >test_op (theano.sparse.tests.test_basic.Expm1Tester) ... ok >test_op (theano.sparse.tests.test_basic.FloorTester) ... ok >test_grad (theano.sparse.tests.test_basic.HStackTester) ... ok >test_infer_shape (theano.sparse.tests.test_basic.HStackTester) ... ok >test_op (theano.sparse.tests.test_basic.HStackTester) ... ok >test_grad (theano.sparse.tests.test_basic.Log1pTester) ... ok >test_op (theano.sparse.tests.test_basic.Log1pTester) ... ok >test_mul_s_v (theano.sparse.tests.test_basic.MulSVTester) ... ok >test_mul_s_v_grad (theano.sparse.tests.test_basic.MulSVTester) ... ok >test_grad (theano.sparse.tests.test_basic.Rad2degTester) ... ok >test_op (theano.sparse.tests.test_basic.Rad2degTester) ... ok >test_grad (theano.sparse.tests.test_basic.Remove0Tester) ... ok >test_infer_shape (theano.sparse.tests.test_basic.Remove0Tester) ... ok >test_remove0 (theano.sparse.tests.test_basic.Remove0Tester) ... ok >test_op (theano.sparse.tests.test_basic.RintTester) ... ok >test_grad (theano.sparse.tests.test_basic.RowScaleCSCTester) ... ok >test_infer_shape (theano.sparse.tests.test_basic.RowScaleCSCTester) ... ok >test_op (theano.sparse.tests.test_basic.RowScaleCSCTester) ... ok >test_grad (theano.sparse.tests.test_basic.SamplingDotTester) ... ok >test_infer_shape (theano.sparse.tests.test_basic.SamplingDotTester) ... ok >test_negative_stride (theano.sparse.tests.test_basic.SamplingDotTester) ... ok >test_op (theano.sparse.tests.test_basic.SamplingDotTester) ... ok >test_op (theano.sparse.tests.test_basic.SgnTester) ... ok >test_grad (theano.sparse.tests.test_basic.SinTester) ... ok >test_op (theano.sparse.tests.test_basic.SinTester) ... ok >test_grad (theano.sparse.tests.test_basic.SinhTester) ... ok >test_op (theano.sparse.tests.test_basic.SinhTester) ... ok >test_grad (theano.sparse.tests.test_basic.SpSumTester) ... ok >test_infer_shape (theano.sparse.tests.test_basic.SpSumTester) ... ok >test_op (theano.sparse.tests.test_basic.SpSumTester) ... ok >test_add_sd (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok >test_add_ss (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok >test_csm (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok >test_csm_grad (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok >test_dense_from_sparse (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok >test_dot (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok >test_dot_broadcast (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok >test_getitem_2d (theano.sparse.tests.test_basic.SparseInferShapeTester) ... SKIP: infer_shape not implemented for GetItem2d yet >test_getitem_scalar (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok >test_mul_sd (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok >test_mul_ss (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok >test_neg (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok >test_remove0 (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok >test_sparse_from_dense (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok >test_sparse_from_list (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok >test_structured_dot (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok >test_structured_dot_grad (theano.sparse.tests.test_basic.SparseInferShapeTester) ... SKIP: infer_shape not implemented for the grad of structured_dot >test_transpose (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok >test_grad (theano.sparse.tests.test_basic.SqrTester) ... ok >test_op (theano.sparse.tests.test_basic.SqrTester) ... ok >test_grad (theano.sparse.tests.test_basic.SqrtTester) ... ok >test_op (theano.sparse.tests.test_basic.SqrtTester) ... ok >test_grad (theano.sparse.tests.test_basic.SquareDiagonalTester) ... ok >test_infer_shape (theano.sparse.tests.test_basic.SquareDiagonalTester) ... ok >test_op (theano.sparse.tests.test_basic.SquareDiagonalTester) ... ok >test_structured_add_s_v (theano.sparse.tests.test_basic.StructuredAddSVTester) ... ok >test_structured_add_s_v_grad (theano.sparse.tests.test_basic.StructuredAddSVTester) ... ok >test_grad (theano.sparse.tests.test_basic.StructuredAddTester) ... ok >test_op (theano.sparse.tests.test_basic.StructuredAddTester) ... ok >test_grad (theano.sparse.tests.test_basic.StructuredExpTester) ... ok >test_op (theano.sparse.tests.test_basic.StructuredExpTester) ... ok >test_grad (theano.sparse.tests.test_basic.StructuredLogTester) ... ok >test_op (theano.sparse.tests.test_basic.StructuredLogTester) ... ok >test_grad (theano.sparse.tests.test_basic.StructuredMaximumTester) ... ok >test_op (theano.sparse.tests.test_basic.StructuredMaximumTester) ... ok >test_grad (theano.sparse.tests.test_basic.StructuredMinimumTester) ... ok >test_op (theano.sparse.tests.test_basic.StructuredMinimumTester) ... ok >test_grad (theano.sparse.tests.test_basic.StructuredPowTester) ... ok >test_op (theano.sparse.tests.test_basic.StructuredPowTester) ... ok >test_grad (theano.sparse.tests.test_basic.StructuredSigmoidTester) ... ok >test_op (theano.sparse.tests.test_basic.StructuredSigmoidTester) ... ok >testAddDS (theano.sparse.tests.test_basic.T_AddMul) ... ok >testAddSD (theano.sparse.tests.test_basic.T_AddMul) ... ok >testAddSS (theano.sparse.tests.test_basic.T_AddMul) ... ok >testMulDS (theano.sparse.tests.test_basic.T_AddMul) ... ok >testMulSD (theano.sparse.tests.test_basic.T_AddMul) ... ok >testMulSS (theano.sparse.tests.test_basic.T_AddMul) ... ok >test_dense_from_sparse (theano.sparse.tests.test_basic.T_conversion) ... ok >test_format_ndim (theano.sparse.tests.test_basic.T_conversion) ... ok >test_todense (theano.sparse.tests.test_basic.T_conversion) ... ok >test_transpose_csc (theano.sparse.tests.test_basic.T_transpose) ... ok >test_transpose_csr (theano.sparse.tests.test_basic.T_transpose) ... ok >test_grad_fail (theano.sparse.tests.test_basic.T_verify_grad_sparse) ... ok >test_grad (theano.sparse.tests.test_basic.TanTester) ... ok >test_op (theano.sparse.tests.test_basic.TanTester) ... ok >test_grad (theano.sparse.tests.test_basic.TanhTester) ... ok >test_op (theano.sparse.tests.test_basic.TanhTester) ... ok >test_adv_sub1_sparse_grad (theano.sparse.tests.test_basic.TestConstructSparseFromList) ... ok >test_err (theano.sparse.tests.test_basic.TestConstructSparseFromList) ... ok >test_GetItem2D (theano.sparse.tests.test_basic.Test_getitem) ... SKIP: Slicing with step is supported. >test_GetItem2Lists (theano.sparse.tests.test_basic.Test_getitem) ... ok >test_GetItem2Lists_wrong_index (theano.sparse.tests.test_basic.Test_getitem) ... ok >test_GetItemList (theano.sparse.tests.test_basic.Test_getitem) ... ok >test_GetItemList_wrong_index (theano.sparse.tests.test_basic.Test_getitem) ... ok >test_GetItemScalar (theano.sparse.tests.test_basic.Test_getitem) ... ok >test_get_item_2lists_grad (theano.sparse.tests.test_basic.Test_getitem) ... /usr/lib/python3.7/site-packages/scipy/sparse/_index.py:82: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient. > self._set_intXint(row, col, x.flat[0]) >ok >test_get_item_list_grad (theano.sparse.tests.test_basic.Test_getitem) ... /usr/lib/python3.7/site-packages/scipy/sparse/_index.py:116: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient. > self._set_arrayXarray_sparse(i, j, x) >ok >test_grad (theano.sparse.tests.test_basic.TrueDotTester) ... ok >test_infer_shape (theano.sparse.tests.test_basic.TrueDotTester) ... ok >test_op_sd (theano.sparse.tests.test_basic.TrueDotTester) ... ok >test_op_ss (theano.sparse.tests.test_basic.TrueDotTester) ... ok >test_op (theano.sparse.tests.test_basic.TruncTester) ... ok >test (theano.sparse.tests.test_basic.UsmmTests) ... ok >test_infer_shape (theano.sparse.tests.test_basic.UsmmTests) ... ok >test_grad (theano.sparse.tests.test_basic.VStackTester) ... ok >test_infer_shape (theano.sparse.tests.test_basic.VStackTester) ... ok >test_op (theano.sparse.tests.test_basic.VStackTester) ... ok >test_ds_csc_comparison (theano.sparse.tests.test_basic.test_comparison) ... ok >test_ds_csr_comparison (theano.sparse.tests.test_basic.test_comparison) ... ok >test_equality_case (theano.sparse.tests.test_basic.test_comparison) ... ok >test_sd_csc_comparison (theano.sparse.tests.test_basic.test_comparison) ... ok >test_sd_csr_comparison (theano.sparse.tests.test_basic.test_comparison) ... ok >test_ss_csc_comparison (theano.sparse.tests.test_basic.test_comparison) ... /usr/lib/python3.7/site-packages/scipy/sparse/compressed.py:311: SparseEfficiencyWarning: Comparing sparse matrices using >= and <= is inefficient, using <, >, or !=, instead. > "using <, >, or !=, instead.", SparseEfficiencyWarning) >ok >test_ss_csr_comparison (theano.sparse.tests.test_basic.test_comparison) ... ok >test_csm (theano.sparse.tests.test_basic.test_csm) ... ok >test_csm_grad (theano.sparse.tests.test_basic.test_csm) ... ok >test_csm_sparser (theano.sparse.tests.test_basic.test_csm) ... ok >test_csm_unsorted (theano.sparse.tests.test_basic.test_csm) ... ok >test_csm_properties (theano.sparse.tests.test_basic.test_csm_properties) ... ok >test_csm_properties_grad (theano.sparse.tests.test_basic.test_csm_properties) ... ok >test_get_value (theano.sparse.tests.test_basic.test_shared_options) ... ok >test_inplace_set_value (theano.sparse.tests.test_basic.test_shared_options) ... ok >test_return_internal_type (theano.sparse.tests.test_basic.test_shared_options) ... ok >test_set_value (theano.sparse.tests.test_basic.test_shared_options) ... ok >test_shape (theano.sparse.tests.test_basic.test_shared_options) ... ok >test_shape_i (theano.sparse.tests.test_basic.test_shared_options) ... ok >test_shared_do_alias (theano.sparse.tests.test_basic.test_shared_options) ... ok >test_shared_dont_alias (theano.sparse.tests.test_basic.test_shared_options) ... ok >test_specify_shape (theano.sparse.tests.test_basic.test_shared_options) ... ok >test_specify_shape_inplace (theano.sparse.tests.test_basic.test_shared_options) ... ok >test_specify_shape_partial (theano.sparse.tests.test_basic.test_shared_options) ... ok >test_values_eq (theano.sparse.tests.test_basic.test_shared_options) ... /usr/lib/python3.7/site-packages/scipy/sparse/_index.py:82: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient. > self._set_intXint(row, col, x.flat[0]) >ok >test_csc_correct_output_faster_than_scipy (theano.sparse.tests.test_basic.test_structureddot) ... ok >test_csr_correct_output_faster_than_scipy (theano.sparse.tests.test_basic.test_structureddot) ... ok >test_dot_sparse_sparse (theano.sparse.tests.test_basic.test_structureddot) ... ok >test_opt_unpack (theano.sparse.tests.test_basic.test_structureddot) ... ok >test_structureddot_csc_grad (theano.sparse.tests.test_basic.test_structureddot) ... ok >test_structureddot_csr_grad (theano.sparse.tests.test_basic.test_structureddot) ... ok >test_upcast (theano.sparse.tests.test_basic.test_structureddot) ... ok >test (theano.sparse.tests.test_basic.test_zeros_like) ... ok >theano.sparse.tests.test_basic.test_shape_i ... ok >theano.sparse.tests.test_basic.test_shape ... ok >theano.sparse.tests.test_basic.test_may_share_memory ... ok >theano.sparse.tests.test_basic.test_sparse_shared_memory ... ok >theano.sparse.tests.test_basic.test_size ... /usr/lib/python3.7/site-packages/scipy/sparse/_index.py:82: SparseEfficiencyWarning: Changing the sparsity structure of a csc_matrix is expensive. lil_matrix is more efficient. > self._set_intXint(row, col, x.flat[0]) >/usr/lib/python3.7/site-packages/scipy/sparse/_index.py:82: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient. > self._set_intXint(row, col, x.flat[0]) >ok >theano.sparse.tests.test_basic.test_hstack_vstack ... ok >theano.sparse.tests.test_opt.test_local_csm_properties_csm ... ok >theano.sparse.tests.test_opt.test_local_csm_grad_c ... SKIP: Opt disabled as it don't support unsorted indices >theano.sparse.tests.test_opt.test_local_mul_s_d ... ok >theano.sparse.tests.test_opt.test_local_mul_s_v ... ok >theano.sparse.tests.test_opt.test_local_structured_add_s_v ... ok >theano.sparse.tests.test_opt.test_local_sampling_dot_csr ... ok >theano.sparse.tests.test_opt.test_local_dense_from_sparse_sparse_from_dense ... ok >theano.sparse.tests.test_opt.test_sd_csc ... ok >test_infer_shape (theano.sparse.tests.test_sp2.BinomialTester) ... ok >test_op (theano.sparse.tests.test_sp2.BinomialTester) ... ok >test_infer_shape (theano.sparse.tests.test_sp2.MultinomialTester) ... ok >test_op (theano.sparse.tests.test_sp2.MultinomialTester) ... ok >test_infer_shape (theano.sparse.tests.test_sp2.PoissonTester) ... ok >test_op (theano.sparse.tests.test_sp2.PoissonTester) ... ok >theano.sparse.tests.test_type.test_sparse_type ... ok >theano.sparse.tests.test_utils.test_hash_from_sparse ... ok >test_fwd (theano.tensor.nnet.tests.test_abstract_conv.Grouped_conv3d_noOptim) ... ok >test_gradinputs (theano.tensor.nnet.tests.test_abstract_conv.Grouped_conv3d_noOptim) ... ok >test_gradweights (theano.tensor.nnet.tests.test_abstract_conv.Grouped_conv3d_noOptim) ... ok >test_fwd (theano.tensor.nnet.tests.test_abstract_conv.Grouped_conv_noOptim) ... ok >test_gradinputs (theano.tensor.nnet.tests.test_abstract_conv.Grouped_conv_noOptim) ... ok >test_gradweights (theano.tensor.nnet.tests.test_abstract_conv.Grouped_conv_noOptim) ... ok >test_interface2d (theano.tensor.nnet.tests.test_abstract_conv.Separable_conv) ... ok >test_interface3d (theano.tensor.nnet.tests.test_abstract_conv.Separable_conv) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (0, 0), True, False) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'valid', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'half', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'full', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'valid', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'half', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'full', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'valid', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'half', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'full', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'valid', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'half', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'full', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'valid', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'half', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'full', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'valid', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'half', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'full', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (0, 0), True, True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 8, 8), (1, 1), 'valid', True, True, (1, 1), True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 8, 8), (1, 1), 'half', True, True, (1, 1), True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 8, 8), (1, 1), 'full', True, True, (1, 1), True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 9, 9), (1, 1), 'valid', True, True, (1, 1), True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 9, 9), (1, 1), 'half', True, True, (1, 1), True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 9, 9), (1, 1), 'full', True, True, (1, 1), False) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 12, 12), (1, 1), 'valid', True, True, (1, 1), True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 12, 12), (1, 1), 'half', True, True, (1, 1), True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 12, 12), (1, 1), 'full', True, True, (1, 1), True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'valid', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'valid', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 3, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'valid', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'half', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'half', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 3, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'half', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'full', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'full', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 3, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'full', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, (0, 2), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, (0, 2), 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, (0, 2), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, (0, 2), 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 3, (0, 2), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, (0, 2), 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'valid', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'valid', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 3, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'valid', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'half', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'half', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 3, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'half', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'full', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'full', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 3, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'full', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, (0, 2), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, (0, 2), 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, (0, 2), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, (0, 2), 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 3, (0, 2), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, (0, 2), 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'valid', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'valid', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 3, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'valid', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'half', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'half', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 3, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'half', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'full', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'full', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 3, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'full', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, (0, 2), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, (0, 2), 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, (0, 2), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, (0, 2), 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 3, (0, 2), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, (0, 2), 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'valid', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'valid', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 3, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'valid', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'half', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'half', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 3, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'half', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'full', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'full', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 3, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'full', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, (0, 2), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, (0, 2), 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, (0, 2), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, (0, 2), 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 3, (0, 2), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, (0, 2), 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'valid', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'valid', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 3, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'valid', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'half', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'half', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 3, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'half', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'full', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'full', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 3, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'full', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, (0, 2), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, (0, 2), 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, (0, 2), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, (0, 2), 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 3, (0, 2), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, (0, 2), 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'valid', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'valid', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 3, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'valid', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'half', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'half', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 3, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'half', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'full', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'full', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 3, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'full', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, (0, 2), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, (0, 2), 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, (0, 2), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, (0, 2), 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 3, (0, 2), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, (0, 2), 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'valid', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'valid', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 3, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'valid', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'half', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'half', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 3, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'half', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'full', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'full', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 3, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'full', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, (0, 2), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, (0, 2), 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, (0, 2), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, (0, 2), 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 3, (0, 2), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, (0, 2), 3) ... ok >test_basic (theano.tensor.nnet.tests.test_abstract_conv.TestAssertConvShape) ... ok >test_basic (theano.tensor.nnet.tests.test_abstract_conv.TestAssertShape) ... ok >test_shape_check_conv2d (theano.tensor.nnet.tests.test_abstract_conv.TestAssertShape) ... ok >test_shape_check_conv2d_grad_wrt_inputs (theano.tensor.nnet.tests.test_abstract_conv.TestAssertShape) ... ok >test_shape_check_conv2d_grad_wrt_weights (theano.tensor.nnet.tests.test_abstract_conv.TestAssertShape) ... ok >test_shape_check_conv3d (theano.tensor.nnet.tests.test_abstract_conv.TestAssertShape) ... ok >test_shape_check_conv3d_grad_wrt_inputs (theano.tensor.nnet.tests.test_abstract_conv.TestAssertShape) ... ok >test_shape_check_conv3d_grad_wrt_weights (theano.tensor.nnet.tests.test_abstract_conv.TestAssertShape) ... ok >test_fwd (theano.tensor.nnet.tests.test_abstract_conv.TestAsymmetricPadding) ... ok >test_gradinput (theano.tensor.nnet.tests.test_abstract_conv.TestAsymmetricPadding) ... ok >test_gradweight (theano.tensor.nnet.tests.test_abstract_conv.TestAsymmetricPadding) ... ok >test_bilinear_kernel_1D (theano.tensor.nnet.tests.test_abstract_conv.TestBilinearUpsampling) ... ok >test_bilinear_kernel_2D (theano.tensor.nnet.tests.test_abstract_conv.TestBilinearUpsampling) ... ok >test_bilinear_upsampling_1D (theano.tensor.nnet.tests.test_abstract_conv.TestBilinearUpsampling) ... ok >test_bilinear_upsampling_reshaping (theano.tensor.nnet.tests.test_abstract_conv.TestBilinearUpsampling) ... ok >test_compare_1D_and_2D_upsampling_values (theano.tensor.nnet.tests.test_abstract_conv.TestBilinearUpsampling) ... ok >Test bilinear upsampling with nonsimilar fractional ... ok >test_fractional_bilinear_upsampling_shape (theano.tensor.nnet.tests.test_abstract_conv.TestBilinearUpsampling) ... ok >test_interface (theano.tensor.nnet.tests.test_abstract_conv.TestCausalConv) ... ok >test_conv2d_grad_wrt_inputs (theano.tensor.nnet.tests.test_abstract_conv.TestConv2dGrads) ... ok >test_conv2d_grad_wrt_weights (theano.tensor.nnet.tests.test_abstract_conv.TestConv2dGrads) ... ok >test_interface (theano.tensor.nnet.tests.test_abstract_conv.TestConv2dTranspose) ... ok >test_check_shape (theano.tensor.nnet.tests.test_abstract_conv.TestConvGradInputsShape) ... ok >test_get_shape (theano.tensor.nnet.tests.test_abstract_conv.TestConvGradInputsShape) ... ok >test_constant_input (theano.tensor.nnet.tests.test_abstract_conv.TestConvTypes) ... ok >test_grad_types (theano.tensor.nnet.tests.test_abstract_conv.TestConvTypes) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (0, 0), True, True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (0, 0), True, False) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'valid', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'half', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'full', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (0, 0), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (1, 1), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (5, 5), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (5, 2), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'valid', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'half', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'full', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (0, 0), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (1, 1), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (5, 5), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (5, 2), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), 'valid', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), 'half', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), 'full', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (0, 0), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (1, 1), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (5, 5), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (5, 2), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'valid', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'half', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'full', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (0, 0), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (1, 1), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (5, 5), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (5, 2), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'valid', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'half', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'full', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (0, 0), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (1, 1), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (5, 5), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (5, 2), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), 'valid', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), 'half', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), 'full', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (0, 0), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (1, 1), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (5, 5), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (5, 2), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'valid', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'half', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'full', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (0, 0), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (1, 1), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (5, 5), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (5, 2), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'valid', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'half', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'full', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (0, 0), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (1, 1), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (5, 5), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (5, 2), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), 'valid', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), 'half', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), 'full', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (0, 0), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (1, 1), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (5, 5), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (5, 2), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (0, 0), True, True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (0, 0), False, True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (0, 0), True, True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (0, 0), True, False) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), 'valid', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), 'half', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), 'full', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (0, 0), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (1, 1), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (5, 5), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (5, 2), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), 'valid', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), 'half', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), 'full', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (0, 0), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (1, 1), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (5, 5), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (5, 2), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), 'valid', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), 'half', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), 'full', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (0, 0), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (1, 1), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (5, 5), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (5, 2), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), 'valid', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), 'half', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), 'full', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (0, 0), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (1, 1), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (5, 5), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (5, 2), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), 'valid', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), 'half', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), 'full', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (0, 0), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (1, 1), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (5, 5), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (5, 2), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), 'valid', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), 'half', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), 'full', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (0, 0), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (1, 1), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (5, 5), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (5, 2), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), 'valid', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), 'half', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), 'full', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (0, 0), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (1, 1), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (5, 5), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (5, 2), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), 'valid', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), 'half', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), 'full', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (0, 0), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (1, 1), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (5, 5), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (5, 2), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), 'valid', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), 'half', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), 'full', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (0, 0), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (1, 1), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (5, 5), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (5, 2), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (0, 0), True, True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (0, 0), False, True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (0, 0), True, True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (0, 0), True, False) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), 'valid', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), 'half', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), 'full', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (0, 0), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (1, 1), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (5, 5), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (5, 2), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), 'valid', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), 'half', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), 'full', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (0, 0), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (1, 1), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (5, 5), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (5, 2), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), 'valid', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), 'half', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), 'full', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (0, 0), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (1, 1), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (5, 5), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (5, 2), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), 'valid', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), 'half', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), 'full', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (0, 0), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (1, 1), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (5, 5), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (5, 2), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), 'valid', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), 'half', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), 'full', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (0, 0), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (1, 1), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (5, 5), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (5, 2), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), 'valid', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), 'half', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), 'full', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (0, 0), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (1, 1), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (5, 5), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (5, 2), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), 'valid', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), 'half', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), 'full', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (0, 0), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (1, 1), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (5, 5), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (5, 2), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), 'valid', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), 'half', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), 'full', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (0, 0), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (1, 1), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (5, 5), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (5, 2), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), 'valid', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), 'half', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), 'full', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (0, 0), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (1, 1), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (5, 5), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (5, 2), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (0, 0), True, True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (0, 0), False, True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (0, 0), True, True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (0, 0), True, False) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), 'valid', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), 'half', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), 'full', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (0, 0), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (1, 1), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (5, 5), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (5, 2), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), 'valid', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), 'half', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), 'full', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (0, 0), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (1, 1), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (5, 5), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (5, 2), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), 'valid', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), 'half', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), 'full', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (0, 0), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (1, 1), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (5, 5), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (5, 2), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), 'valid', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), 'half', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), 'full', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (0, 0), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (1, 1), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (5, 5), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (5, 2), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), 'valid', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), 'half', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), 'full', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (0, 0), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (1, 1), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (5, 5), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (5, 2), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), 'valid', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), 'half', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), 'full', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (0, 0), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (1, 1), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (5, 5), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (5, 2), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), 'valid', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), 'half', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), 'full', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (0, 0), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (1, 1), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (5, 5), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (5, 2), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), 'valid', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), 'half', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), 'full', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (0, 0), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (1, 1), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (5, 5), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (5, 2), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), 'valid', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), 'half', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), 'full', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (0, 0), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (1, 1), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (5, 5), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (5, 2), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (0, 0), True, True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (0, 0), False, True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (0, 0), True, True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (0, 0), True, False) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), 'valid', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), 'half', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), 'full', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (0, 0), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (1, 1), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (5, 5), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (5, 2), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), 'valid', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), 'half', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), 'full', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (0, 0), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (1, 1), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (5, 5), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (5, 2), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), 'valid', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), 'half', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), 'full', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (0, 0), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (1, 1), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (5, 5), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (5, 2), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), 'valid', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), 'half', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), 'full', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (0, 0), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (1, 1), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (5, 5), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (5, 2), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), 'valid', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), 'half', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), 'full', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (0, 0), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (1, 1), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (5, 5), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (5, 2), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), 'valid', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), 'half', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), 'full', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (0, 0), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (1, 1), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (5, 5), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (5, 2), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), 'valid', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), 'half', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), 'full', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (0, 0), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (1, 1), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (5, 5), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (5, 2), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), 'valid', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), 'half', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), 'full', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (0, 0), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (1, 1), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (5, 5), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (5, 2), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), 'valid', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), 'half', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), 'full', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (0, 0), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (1, 1), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (5, 5), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (5, 2), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (0, 0), True, True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (0, 0), False, True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (0, 0), True, True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (0, 0), True, False) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), 'valid', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), 'half', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), 'full', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (0, 0), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (1, 1), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (5, 5), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (5, 2), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), 'valid', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), 'half', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), 'full', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (0, 0), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (1, 1), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (5, 5), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (5, 2), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), 'valid', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), 'half', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), 'full', True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (0, 0), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (1, 1), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (5, 5), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (5, 2), True, True, (1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), 'valid', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), 'half', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), 'full', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (0, 0), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (1, 1), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (5, 5), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (5, 2), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), 'valid', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), 'half', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), 'full', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (0, 0), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (1, 1), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (5, 5), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (5, 2), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), 'valid', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), 'half', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), 'full', True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (0, 0), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (1, 1), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (5, 5), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (5, 2), True, True, (1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), 'valid', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), 'half', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), 'full', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (0, 0), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (1, 1), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (5, 5), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (5, 2), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), 'valid', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), 'half', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), 'full', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (0, 0), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (1, 1), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (5, 5), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (5, 2), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), 'valid', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), 'half', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), 'full', True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (0, 0), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (1, 1), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (5, 5), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (5, 2), True, True, (2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (0, 0), True, True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (0, 0), False, True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((0, 1, 6, 6), (1, 1, 2, 2), (1, 1), (0, 0), True, True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((0, 1, 6, 6), (1, 1, 2, 2), (1, 1), (0, 0), True, False) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 0, 6, 6), (1, 0, 2, 2), (1, 1), (0, 0), True, True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 0, 6, 6), (1, 0, 2, 2), (1, 1), (0, 0), True, False) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 1, 6, 6), (0, 1, 2, 2), (1, 1), (0, 0), True, True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 1, 6, 6), (0, 1, 2, 2), (1, 1), (0, 0), True, False) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 8, 8), (1, 1), 'valid', True, True, (1, 1), True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 8, 8), (1, 1), 'half', True, True, (1, 1), True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 8, 8), (1, 1), 'full', True, True, (1, 1), True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 9, 9), (1, 1), 'valid', True, True, (1, 1), True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 9, 9), (1, 1), 'half', True, True, (1, 1), True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 9, 9), (1, 1), 'full', True, True, (1, 1), False) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 12, 12), (1, 1), 'valid', True, True, (1, 1), True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 12, 12), (1, 1), 'half', True, True, (1, 1), True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 12, 12), (1, 1), 'full', True, True, (1, 1), True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'valid', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'valid', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 3, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'valid', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'half', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'half', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 3, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'half', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'full', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'full', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 3, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'full', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, (0, 2), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, (0, 2), 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, (0, 2), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, (0, 2), 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 3, (0, 2), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, (0, 2), 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'valid', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'valid', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 3, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'valid', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'half', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'half', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 3, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'half', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'full', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'full', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 3, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'full', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, (0, 2), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, (0, 2), 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, (0, 2), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, (0, 2), 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 3, (0, 2), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, (0, 2), 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'valid', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'valid', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 3, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'valid', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'half', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'half', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 3, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'half', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'full', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'full', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 3, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'full', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, (0, 2), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, (0, 2), 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, (0, 2), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, (0, 2), 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 3, (0, 2), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, (0, 2), 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'valid', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'valid', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 3, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'valid', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'half', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'half', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 3, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'half', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'full', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'full', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 3, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'full', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, (0, 2), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, (0, 2), 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, (0, 2), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, (0, 2), 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 3, (0, 2), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, (0, 2), 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'valid', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'valid', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 3, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'valid', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'half', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'half', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 3, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'half', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'full', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'full', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 3, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'full', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, (0, 2), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, (0, 2), 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, (0, 2), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, (0, 2), 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 3, (0, 2), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, (0, 2), 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'valid', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'valid', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 3, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'valid', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'half', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'half', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 3, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'half', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'full', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'full', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 3, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'full', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, (0, 2), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, (0, 2), 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, (0, 2), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, (0, 2), 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 3, (0, 2), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, (0, 2), 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'valid', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'valid', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 3, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'valid', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'half', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'half', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 3, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'half', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'full', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'full', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 3, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'full', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, (0, 2), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, (0, 2), 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, (0, 2), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, (0, 2), 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 3, (0, 2), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, (0, 2), 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, False) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), 'valid', True, True, (1, 1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), 'half', True, True, (1, 1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), 'full', True, True, (1, 1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, True, (1, 1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (2, 2, 3), True, True, (1, 1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), 'valid', True, True, (1, 1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), 'half', True, True, (1, 1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), 'full', True, True, (1, 1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), (0, 0, 0), True, True, (1, 1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), (2, 2, 3), True, True, (1, 1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), 'valid', True, True, (1, 1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), 'half', True, True, (1, 1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), 'full', True, True, (1, 1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), (0, 0, 0), True, True, (1, 1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), (2, 2, 3), True, True, (1, 1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), 'valid', True, True, (1, 2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), 'half', True, True, (1, 2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), 'full', True, True, (1, 2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, True, (1, 2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (2, 2, 3), True, True, (1, 2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), 'valid', True, True, (1, 2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), 'half', True, True, (1, 2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), 'full', True, True, (1, 2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), (0, 0, 0), True, True, (1, 2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), (2, 2, 3), True, True, (1, 2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), 'valid', True, True, (1, 2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), 'half', True, True, (1, 2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), 'full', True, True, (1, 2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), (0, 0, 0), True, True, (1, 2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), (2, 2, 3), True, True, (1, 2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), 'valid', True, True, (2, 1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), 'half', True, True, (2, 1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), 'full', True, True, (2, 1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, True, (2, 1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (2, 2, 3), True, True, (2, 1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), 'valid', True, True, (2, 1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), 'half', True, True, (2, 1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), 'full', True, True, (2, 1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), (0, 0, 0), True, True, (2, 1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), (2, 2, 3), True, True, (2, 1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), 'valid', True, True, (2, 1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), 'half', True, True, (2, 1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), 'full', True, True, (2, 1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), (0, 0, 0), True, True, (2, 1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), (2, 2, 3), True, True, (2, 1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), False, True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (0, 0, 0), True, True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (0, 0, 0), True, False) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), 'valid', True, True, (1, 1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), 'half', True, True, (1, 1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), 'full', True, True, (1, 1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (0, 0, 0), True, True, (1, 1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (2, 2, 3), True, True, (1, 1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), 'valid', True, True, (1, 1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), 'half', True, True, (1, 1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), 'full', True, True, (1, 1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), (0, 0, 0), True, True, (1, 1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), (2, 2, 3), True, True, (1, 1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), 'valid', True, True, (1, 1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), 'half', True, True, (1, 1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), 'full', True, True, (1, 1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), (0, 0, 0), True, True, (1, 1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), (2, 2, 3), True, True, (1, 1, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), 'valid', True, True, (1, 2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), 'half', True, True, (1, 2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), 'full', True, True, (1, 2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (0, 0, 0), True, True, (1, 2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (2, 2, 3), True, True, (1, 2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), 'valid', True, True, (1, 2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), 'half', True, True, (1, 2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), 'full', True, True, (1, 2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), (0, 0, 0), True, True, (1, 2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), (2, 2, 3), True, True, (1, 2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), 'valid', True, True, (1, 2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), 'half', True, True, (1, 2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), 'full', True, True, (1, 2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), (0, 0, 0), True, True, (1, 2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), (2, 2, 3), True, True, (1, 2, 1)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), 'valid', True, True, (2, 1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), 'half', True, True, (2, 1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), 'full', True, True, (2, 1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (0, 0, 0), True, True, (2, 1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (2, 2, 3), True, True, (2, 1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), 'valid', True, True, (2, 1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), 'half', True, True, (2, 1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), 'full', True, True, (2, 1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), (0, 0, 0), True, True, (2, 1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), (2, 2, 3), True, True, (2, 1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), 'valid', True, True, (2, 1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), 'half', True, True, (2, 1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), 'full', True, True, (2, 1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), (0, 0, 0), True, True, (2, 1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), (2, 2, 3), True, True, (2, 1, 2)) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (0, 0, 0), True, True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (0, 0, 0), False, True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((0, 1, 5, 5, 5), (1, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((0, 1, 5, 5, 5), (1, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, False) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 0, 5, 5, 5), (1, 0, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 0, 5, 5, 5), (1, 0, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, False) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 1, 5, 5, 5), (0, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 1, 5, 5, 5), (0, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, False) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7, 7), (1, 1, 3, 3, 3), (2, 1, 8, 8, 8), (1, 1, 1), 'valid', True, True, (1, 1, 1), True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7, 7), (1, 1, 3, 3, 3), (2, 1, 8, 8, 8), (1, 1, 1), 'half', True, True, (1, 1, 1), True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7, 7), (1, 1, 3, 3, 3), (2, 1, 8, 8, 8), (1, 1, 1), 'full', True, True, (1, 1, 1), True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7, 7), (1, 1, 3, 3, 3), (2, 1, 9, 9, 9), (1, 1, 1), 'valid', True, True, (1, 1, 1), True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7, 7), (1, 1, 3, 3, 3), (2, 1, 9, 9, 9), (1, 1, 1), 'half', True, True, (1, 1, 1), True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7, 7), (1, 1, 3, 3, 3), (2, 1, 9, 9, 9), (1, 1, 1), 'full', True, True, (1, 1, 1), False) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7, 7), (1, 1, 3, 3, 3), (2, 1, 12, 12, 12), (1, 1, 1), 'valid', True, True, (1, 1, 1), True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7, 7), (1, 1, 3, 3, 3), (2, 1, 12, 12, 12), (1, 1, 1), 'half', True, True, (1, 1, 1), True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7, 7), (1, 1, 3, 3, 3), (2, 1, 12, 12, 12), (1, 1, 1), 'full', True, True, (1, 1, 1), True) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, 'valid', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 2, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 2, 'valid', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 3, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, 'valid', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, 'half', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 2, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 2, 'half', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 3, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, 'half', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, 'full', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 2, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 2, 'full', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 3, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, 'full', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, (0, 2, 1), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, (0, 2, 1), 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 2, (0, 2, 1), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 2, (0, 2, 1), 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 3, (0, 2, 1), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, (0, 2, 1), 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, 'valid', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 2, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 2, 'valid', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 3, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, 'valid', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, 'half', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 2, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 2, 'half', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 3, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, 'half', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, 'full', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 2, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 2, 'full', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 3, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, 'full', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, (0, 2, 1), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, (0, 2, 1), 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 2, (0, 2, 1), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 2, (0, 2, 1), 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 3, (0, 2, 1), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, (0, 2, 1), 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, 'valid', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 2, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 2, 'valid', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 3, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, 'valid', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, 'half', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 2, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 2, 'half', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 3, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, 'half', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, 'full', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 2, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 2, 'full', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 3, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, 'full', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, (0, 2, 1), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, (0, 2, 1), 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 2, (0, 2, 1), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 2, (0, 2, 1), 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 3, (0, 2, 1), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, (0, 2, 1), 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, 'valid', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 2, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 2, 'valid', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 3, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, 'valid', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, 'half', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 2, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 2, 'half', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 3, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, 'half', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, 'full', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 2, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 2, 'full', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 3, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, 'full', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, (0, 2, 1), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, (0, 2, 1), 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 2, (0, 2, 1), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 2, (0, 2, 1), 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 3, (0, 2, 1), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, (0, 2, 1), 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, 'valid', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 2, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 2, 'valid', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 3, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, 'valid', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, 'half', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 2, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 2, 'half', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 3, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, 'half', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, 'full', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 2, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 2, 'full', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 3, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, 'full', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, (0, 2, 1), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, (0, 2, 1), 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 2, (0, 2, 1), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 2, (0, 2, 1), 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 3, (0, 2, 1), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, (0, 2, 1), 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, 'valid', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 2, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 2, 'valid', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 3, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, 'valid', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, 'half', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 2, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 2, 'half', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 3, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, 'half', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, 'full', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 2, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 2, 'full', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 3, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, 'full', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, (0, 2, 1), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, (0, 2, 1), 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 2, (0, 2, 1), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 2, (0, 2, 1), 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 3, (0, 2, 1), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, (0, 2, 1), 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, 'valid', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 2, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 2, 'valid', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 3, 'valid', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, 'valid', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, 'half', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 2, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 2, 'half', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 3, 'half', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, 'half', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, 'full', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 2, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 2, 'full', 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 3, 'full', 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, 'full', 3) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, (0, 2, 1), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, (0, 2, 1), 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 2, (0, 2, 1), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 2, (0, 2, 1), 2) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 3, (0, 2, 1), 1) ... ok >theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, (0, 2, 1), 3) ... ok >test_basic (theano.tensor.nnet.tests.test_abstract_conv.TestGetConvOutShape) ... ok >test_basic_3d (theano.tensor.nnet.tests.test_abstract_conv.TestGetConvOutShape) ... ok >test_fwd (theano.tensor.nnet.tests.test_abstract_conv.TestUnsharedConv) ... ok >test_gradinput (theano.tensor.nnet.tests.test_abstract_conv.TestUnsharedConv) ... ok >test_gradweight (theano.tensor.nnet.tests.test_abstract_conv.TestUnsharedConv) ... ok >theano.tensor.nnet.tests.test_abstract_conv.test_constant_shapes ... ok >test_dot_infershape (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5/theano/tensor/nnet/tests/test_blocksparse.py:46: FutureWarning: arrays to stack must be passed as a "sequence" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future. > for _ in range(batchSize)).astype('int32') >/var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5/theano/tensor/nnet/tests/test_blocksparse.py:49: FutureWarning: arrays to stack must be passed as a "sequence" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future. > for _ in range(batchSize)).astype('int32') >ok >test_gemv_infershape (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... ok >test_outer_infershape (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5/theano/tensor/nnet/tests/test_blocksparse.py:71: FutureWarning: arrays to stack must be passed as a "sequence" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future. > for _ in range(batchSize)).astype('int32') >/var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5/theano/tensor/nnet/tests/test_blocksparse.py:73: FutureWarning: arrays to stack must be passed as a "sequence" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future. > for _ in range(batchSize)).astype('int32') >ok >test_sparseblockdot (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... ok >test_sparseblockgemv (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... ok >test_sparseblockgemvF (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... ok >test_sparseblockgemv_grad (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... ok >test_sparseblockgemv_grad_1 (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... ok >test_sparseblockgemv_grad_shape (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5/theano/tensor/nnet/tests/test_blocksparse.py:46: FutureWarning: arrays to stack must be passed as a "sequence" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future. > for _ in range(batchSize)).astype('int32') >/var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5/theano/tensor/nnet/tests/test_blocksparse.py:49: FutureWarning: arrays to stack must be passed as a "sequence" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future. > for _ in range(batchSize)).astype('int32') >ok >test_sparseblockouter (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... /var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5/theano/tensor/nnet/tests/test_blocksparse.py:71: FutureWarning: arrays to stack must be passed as a "sequence" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future. > for _ in range(batchSize)).astype('int32') >/var/tmp/portage/dev-python/theano-1.0.5/work/Theano-1.0.5/theano/tensor/nnet/tests/test_blocksparse.py:73: FutureWarning: arrays to stack must be passed as a "sequence" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future. > for _ in range(batchSize)).astype('int32') >ok >theano.tensor.nnet.tests.test_bn.test_BNComposite ... ok >theano.tensor.nnet.tests.test_bn.test_batch_normalization ... ok >theano.tensor.nnet.tests.test_bn.test_bn_feature_maps ... ok >theano.tensor.nnet.tests.test_bn.test_batch_normalization_train ... ok >theano.tensor.nnet.tests.test_bn.test_batch_normalization_train_grad_grad ...
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