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theano.test() failure report (Linux 3.13.0-49-generic; Ubuntu 14.04; cuda tools V7.0.27; CUDNN_VERSION 2000; gpu is GeForce GT 730M; python 2.7; theano 0.7.0; gcc Ubuntu 4.8.2-19ubuntu1)
Raw
stderr
/usr/local/lib/python2.7/dist-packages/theano/misc/pycuda_init.py:34: UserWarning: PyCUDA import failed in theano.misc.pycuda_init
warnings.warn("PyCUDA import failed in theano.misc.pycuda_init")
Using gpu device 0: GeForce GT 730M
...............................................K................../usr/local/lib/python2.7/dist-packages/theano/compile/profilemode.py:103: UserWarning: DEPRECATION WARNING: The ProfileMode is deprecated. Use the Theano flags/parameter to theano.function 'profile=True' instead of 'mode=ProfileMode'
"DEPRECATION WARNING: The ProfileMode is deprecated. Use the Theano"
................................................../usr/local/lib/python2.7/dist-packages/theano/gof/vm.py:729: UserWarning: CVM does not support memory profile, using Stack VM.
'CVM does not support memory profile, using Stack VM.')
................................./usr/local/lib/python2.7/dist-packages/theano/gof/cmodule.py:293: RuntimeWarning: numpy.ndarray size changed, may indicate binary incompatibility
rval = __import__(module_name, {}, {}, [module_name])
...........................................................rm: cannot remove ‘/home/dans/.theano/compiledir_Linux-3.13--generic-x86_64-with-Ubuntu-14.04-trusty-x86_64-2.7.6-64/optimized_graphs.pkl’: No such file or directory
..............................................................................SS..SSS.............SS....................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................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UserWarning: config.experimental.unpickle_gpu_on_cpu is set to True. Unpickling CudaNdarray as numpy.ndarray
warnings.warn("config.experimental.unpickle_gpu_on_cpu is set to True. Unpickling CudaNdarray as numpy.ndarray")
.........SSSSSSSSSS.....KK............................SS.............................................................S.K.....................................
.
.
...........
..K..................K................................/usr/local/lib/python2.7/dist-packages/theano/scan_module/scan.py:1017: Warning: In the strict mode, all neccessary shared variables must be passed as a part of non_sequences
'must be passed as a part of non_sequences', Warning)
........................................./usr/lib/python2.7/dist-packages/scipy/sparse/data.py:60: ComplexWarning: Casting complex values to real discards the imaginary part
return self._with_data(self.data.astype(t))
/usr/local/lib/python2.7/dist-packages/theano/sparse/tests/test_basic.py:2337: ComplexWarning: Casting complex values to real discards the imaginary part
expected = data.toarray().astype(o_dtype)
...../usr/lib/python2.7/dist-packages/scipy/sparse/compressed.py:728: SparseEfficiencyWarning: Changing the sparsity structure of a csc_matrix is expensive. lil_matrix is more efficient.
SparseEfficiencyWarning)
/usr/lib/python2.7/dist-packages/scipy/sparse/compressed.py:728: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.
SparseEfficiencyWarning)
......................................................S........S................................................................../usr/lib/python2.7/dist-packages/scipy/sparse/compressed.py:350: SparseEfficiencyWarning: Comparing sparse matrices using >= and <= is inefficient, try using <, >, or !=, instead.
"try using <, >, or !=, instead.", SparseEfficiencyWarning)
/usr/lib/python2.7/dist-packages/scipy/sparse/compressed.py:316: SparseEfficiencyWarning: Comparing sparse matrices using >= and <= is inefficient, using <, >, or !=, instead.
"using <, >, or !=, instead.", SparseEfficiencyWarning)
...................................S...................................................................................................S..SS......................................./usr/local/lib/python2.7/dist-packages/theano/tensor/signal/tests/test_conv.py:38: UserWarning: theano.tensor.signal.conv2d() now outputs a 2d tensor when both inputs are 2d. To disable this warning, set the Theano flag warn.signal_conv2d_interface to False
output = sym_conv2d(input, filters)
./usr/lib/python2.7/unittest/case.py:331: UserWarning: theano.tensor.signal.conv2d() now outputs a 2d tensor when both inputs are 2d. To disable this warning, set the Theano flag warn.signal_conv2d_interface to False
testMethod()
...................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................../usr/local/lib/python2.7/dist-packages/theano/tensor/tests/test_basic.py:6940: UserWarning: Tile op is deprecated, use tile function instead.
[Tile(ndim)(advec, aivec_val)],
/usr/local/lib/python2.7/dist-packages/theano/tensor/tests/test_basic.py:6948: UserWarning: Tile op is deprecated, use tile function instead.
[Tile(ndim)(admat, aivec_val)],
/usr/local/lib/python2.7/dist-packages/theano/tensor/tests/test_basic.py:6956: UserWarning: Tile op is deprecated, use tile function instead.
[Tile(ndim)(adtens4, aivec_val)],
.............................................................................................K.....................................................................................................................................................................................................................................................................................................................................K..KKKK.K.................................................................................K................................................................../usr/local/lib/python2.7/dist-packages/theano/tensor/tests/test_opt.py:3466: UserWarning: Tile op is deprecated, use tile function instead.
f = theano.function([var], Tile(ndim)(var, (1,)*ndim), mode=mode)
.................................................................S.S..S...........................................................K...........K....................................................................................................................................................................................................................................................................................S/usr/lib/python2.7/unittest/case.py:331: UserWarning: consider_constant() is deprecated, use zero_grad() or disconnected_grad() instead.
testMethod()
...........................................SS....SSSSS...../usr/local/lib/python2.7/dist-packages/theano/printing.py:944: UserWarning: pydotprint_variables() is deprecated. Use pydotprint() instead.
warnings.warn("pydotprint_variables() is deprecated."
..............KK.......................................................S...
======================================================================
ERROR: theano.sandbox.cuda.tests.test_tensor_op.test_conv3d
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
self.test(*self.arg)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/tests/test_tensor_op.py", line 145, in test_conv3d
shared=cuda.shared_constructor)
File "/usr/local/lib/python2.7/dist-packages/theano/tensor/nnet/tests/test_conv3d2d.py", line 103, in test_conv3d
utt.assert_allclose(pyres, s_output.get_value(borrow=True))
File "/usr/local/lib/python2.7/dist-packages/theano/tests/unittest_tools.py", line 344, in assert_allclose
raise WrongValue(val1, val2, rtol, atol)
WrongValue: WrongValue
: shape, dtype, strides, min, max, n_inf, n_nan:
Expected : (3, 6, 32, 28, 28) float64 (1204224, 200704, 6272, 224, 8) 340763496.0 376008761344.0 0 0
Value : (3, 6, 32, 28, 28) float32 (602112, 100352, 3136, 112, 4) 3.40763e+08 3.76009e+11 0 0
expected : [[[[[ 3.40763496e+08 3.40833616e+08 3.40903744e+08 ...,
3.42516616e+08 3.42586744e+08 3.42656880e+08]
[ 3.43007496e+08 3.43077616e+08 3.43147744e+08 ...,
3.44760616e+08 3.44830744e+08 3.44900880e+08]
[ 3.45251496e+08 3.45321616e+08 3.45391744e+08 ...,
3.47004616e+08 3.47074744e+08 3.47144880e+08]
...,
[ 3.96863496e+08 3.96933616e+08 3.97003744e+08 ...,
3.98616616e+08 3.98686744e+08 3.98756880e+08]
[ 3.99107496e+08 3.99177616e+08 3.99247744e+08 ...,
4.00860616e+08 4.00930744e+08 4.01000880e+08]
[ 4.01351496e+08 4.01421616e+08 4.01491744e+08 ...,
4.03104616e+08 4.03174744e+08 4.03244880e+08]]
[[ 1.35804477e+09 1.35825552e+09 1.35846624e+09 ...,
1.36331350e+09 1.36352429e+09 1.36373498e+09]
[ 1.36478877e+09 1.36499949e+09 1.36521027e+09 ...,
1.37005754e+09 1.37026826e+09 1.37047901e+09]
[ 1.37153277e+09 1.37174352e+09 1.37195424e+09 ...,
1.37680150e+09 1.37701229e+09 1.37722298e+09]
...,
[ 1.52664477e+09 1.52685549e+09 1.52706627e+09 ...,
1.53191354e+09 1.53212426e+09 1.53233501e+09]
[ 1.53338877e+09 1.53359952e+09 1.53381024e+09 ...,
1.53865750e+09 1.53886829e+09 1.53907898e+09]
[ 1.54013277e+09 1.54034349e+09 1.54055427e+09 ...,
1.54540154e+09 1.54561226e+09 1.54582301e+09]]
[[ 2.37532602e+09 2.37567738e+09 2.37602874e+09 ...,
2.38411040e+09 2.38446170e+09 2.38481306e+09]
[ 2.38657005e+09 2.38692141e+09 2.38727277e+09 ...,
2.39535443e+09 2.39570573e+09 2.39605709e+09]
[ 2.39781402e+09 2.39816538e+09 2.39851674e+09 ...,
2.40659840e+09 2.40694970e+09 2.40730106e+09]
...,
[ 2.65642605e+09 2.65677741e+09 2.65712877e+09 ...,
2.66521043e+09 2.66556173e+09 2.66591309e+09]
[ 2.66767002e+09 2.66802138e+09 2.66837274e+09 ...,
2.67645440e+09 2.67680570e+09 2.67715706e+09]
[ 2.67891405e+09 2.67926541e+09 2.67961677e+09 ...,
2.68769843e+09 2.68804973e+09 2.68840109e+09]]
...,
[[ 2.98419200e+10 2.98460682e+10 2.98502159e+10 ...,
2.99456266e+10 2.99497743e+10 2.99539215e+10]
[ 2.99746632e+10 2.99788129e+10 2.99829601e+10 ...,
3.00783703e+10 3.00825175e+10 3.00866662e+10]
[ 3.01074074e+10 3.01115556e+10 3.01157048e+10 ...,
3.02111150e+10 3.02152622e+10 3.02194094e+10]
...,
[ 3.31605207e+10 3.31646679e+10 3.31688151e+10 ...,
3.32642253e+10 3.32683745e+10 3.32725228e+10]
[ 3.32932639e+10 3.32974111e+10 3.33015603e+10 ...,
3.33969695e+10 3.34011187e+10 3.34052669e+10]
[ 3.34260081e+10 3.34301563e+10 3.34343035e+10 ...,
3.35297147e+10 3.35338619e+10 3.35380101e+10]]
[[ 3.08592005e+10 3.08634900e+10 3.08677786e+10 ...,
3.09664225e+10 3.09707121e+10 3.09750006e+10]
[ 3.09964442e+10 3.10007337e+10 3.10050232e+10 ...,
3.11036672e+10 3.11079557e+10 3.11122442e+10]
[ 3.11336888e+10 3.11379773e+10 3.11422659e+10 ...,
3.12409108e+10 3.12451994e+10 3.12494879e+10]
...,
[ 3.42903009e+10 3.42945894e+10 3.42988780e+10 ...,
3.43975229e+10 3.44018115e+10 3.44061000e+10]
[ 3.44275446e+10 3.44318331e+10 3.44361226e+10 ...,
3.45347676e+10 3.45390561e+10 3.45433446e+10]
[ 3.45647892e+10 3.45690788e+10 3.45733673e+10 ...,
3.46720113e+10 3.46762998e+10 3.46805883e+10]]
[[ 3.18764820e+10 3.18809119e+10 3.18853417e+10 ...,
3.19872195e+10 3.19916493e+10 3.19960791e+10]
[ 3.20182252e+10 3.20226550e+10 3.20270848e+10 ...,
3.21289636e+10 3.21333934e+10 3.21378232e+10]
[ 3.21599703e+10 3.21644001e+10 3.21688300e+10 ...,
3.22707067e+10 3.22751365e+10 3.22795663e+10]
...,
[ 3.54200822e+10 3.54245110e+10 3.54289408e+10 ...,
3.55308206e+10 3.55352494e+10 3.55396792e+10]
[ 3.55618263e+10 3.55662551e+10 3.55706849e+10 ...,
3.56725637e+10 3.56769925e+10 3.56814223e+10]
[ 3.57035704e+10 3.57080003e+10 3.57124291e+10 ...,
3.58143078e+10 3.58187366e+10 3.58231665e+10]]]
[[[ 5.56187496e+08 5.56257616e+08 5.56327744e+08 ...,
5.57940624e+08 5.58010752e+08 5.58080888e+08]
[ 5.58431496e+08 5.58501616e+08 5.58571744e+08 ...,
5.60184624e+08 5.60254752e+08 5.60324888e+08]
[ 5.60675496e+08 5.60745616e+08 5.60815744e+08 ...,
5.62428624e+08 5.62498752e+08 5.62568888e+08]
...,
[ 6.12287504e+08 6.12357616e+08 6.12427744e+08 ...,
6.14040624e+08 6.14110752e+08 6.14180896e+08]
[ 6.14531504e+08 6.14601616e+08 6.14671744e+08 ...,
6.16284624e+08 6.16354752e+08 6.16424896e+08]
[ 6.16775504e+08 6.16845616e+08 6.16915744e+08 ...,
6.18528624e+08 6.18598752e+08 6.18668896e+08]]
[[ 2.00546874e+09 2.00567955e+09 2.00589024e+09 ...,
2.01073747e+09 2.01094822e+09 2.01115898e+09]
[ 2.01221274e+09 2.01242349e+09 2.01263430e+09 ...,
2.01748154e+09 2.01769222e+09 2.01790304e+09]
[ 2.01895674e+09 2.01916755e+09 2.01937824e+09 ...,
2.02422547e+09 2.02443622e+09 2.02464698e+09]
...,
[ 2.17406874e+09 2.17427949e+09 2.17449030e+09 ...,
2.17933754e+09 2.17954822e+09 2.17975904e+09]
[ 2.18081274e+09 2.18102355e+09 2.18123424e+09 ...,
2.18608147e+09 2.18629222e+09 2.18650298e+09]
[ 2.18755674e+09 2.18776749e+09 2.18797830e+09 ...,
2.19282554e+09 2.19303622e+09 2.19324704e+09]]
[[ 3.45474995e+09 3.45510138e+09 3.45545267e+09 ...,
3.46353440e+09 3.46388570e+09 3.46423712e+09]
[ 3.46599398e+09 3.46634528e+09 3.46669670e+09 ...,
3.47477830e+09 3.47512973e+09 3.47548102e+09]
[ 3.47723802e+09 3.47758944e+09 3.47794074e+09 ...,
3.48602246e+09 3.48637376e+09 3.48672518e+09]
...,
[ 3.73584998e+09 3.73620122e+09 3.73655270e+09 ...,
3.74463424e+09 3.74498573e+09 3.74533709e+09]
[ 3.74709402e+09 3.74744538e+09 3.74779674e+09 ...,
3.75587840e+09 3.75622976e+09 3.75658125e+09]
[ 3.75833805e+09 3.75868928e+09 3.75904077e+09 ...,
3.76712230e+09 3.76747379e+09 3.76782515e+09]]
...,
[[ 4.25853440e+10 4.25894922e+10 4.25936394e+10 ...,
4.26890506e+10 4.26931978e+10 4.26973460e+10]
[ 4.27180872e+10 4.27222364e+10 4.27263846e+10 ...,
4.28217938e+10 4.28259420e+10 4.28300902e+10]
[ 4.28508314e+10 4.28549796e+10 4.28591288e+10 ...,
4.29545390e+10 4.29586862e+10 4.29628334e+10]
...,
[ 4.59039447e+10 4.59080919e+10 4.59122391e+10 ...,
4.60076493e+10 4.60117985e+10 4.60159468e+10]
[ 4.60366879e+10 4.60408351e+10 4.60449843e+10 ...,
4.61403935e+10 4.61445427e+10 4.61486909e+10]
[ 4.61694321e+10 4.61735803e+10 4.61777275e+10 ...,
4.62731387e+10 4.62772859e+10 4.62814341e+10]]
[[ 4.40346245e+10 4.40389140e+10 4.40432026e+10 ...,
4.41418465e+10 4.41461361e+10 4.41504246e+10]
[ 4.41718682e+10 4.41761577e+10 4.41804472e+10 ...,
4.42790912e+10 4.42833797e+10 4.42876682e+10]
[ 4.43091128e+10 4.43134013e+10 4.43176899e+10 ...,
4.44163348e+10 4.44206234e+10 4.44249119e+10]
...,
[ 4.74657249e+10 4.74700145e+10 4.74743020e+10 ...,
4.75729480e+10 4.75772355e+10 4.75815250e+10]
[ 4.76029696e+10 4.76072571e+10 4.76115466e+10 ...,
4.77101906e+10 4.77144801e+10 4.77187676e+10]
[ 4.77402122e+10 4.77445028e+10 4.77487923e+10 ...,
4.78474353e+10 4.78517248e+10 4.78560123e+10]]
[[ 4.54839060e+10 4.54883359e+10 4.54927657e+10 ...,
4.55946435e+10 4.55990733e+10 4.56035031e+10]
[ 4.56256492e+10 4.56300790e+10 4.56345088e+10 ...,
4.57363876e+10 4.57408174e+10 4.57452472e+10]
[ 4.57673943e+10 4.57718241e+10 4.57762540e+10 ...,
4.58781307e+10 4.58825605e+10 4.58869903e+10]
...,
[ 4.90275072e+10 4.90319350e+10 4.90363658e+10 ...,
4.91382436e+10 4.91426734e+10 4.91471022e+10]
[ 4.91692513e+10 4.91736791e+10 4.91781100e+10 ...,
4.92799887e+10 4.92844165e+10 4.92888474e+10]
[ 4.93109944e+10 4.93154232e+10 4.93198531e+10 ...,
4.94217329e+10 4.94261606e+10 4.94305915e+10]]]
[[[ 7.71611488e+08 7.71681632e+08 7.71751760e+08 ...,
7.73364640e+08 7.73434768e+08 7.73504896e+08]
[ 7.73855488e+08 7.73925632e+08 7.73995760e+08 ...,
7.75608640e+08 7.75678768e+08 7.75748896e+08]
[ 7.76099488e+08 7.76169632e+08 7.76239760e+08 ...,
7.77852640e+08 7.77922768e+08 7.77992896e+08]
...,
[ 8.27711488e+08 8.27781648e+08 8.27851760e+08 ...,
8.29464640e+08 8.29534752e+08 8.29604896e+08]
[ 8.29955488e+08 8.30025648e+08 8.30095760e+08 ...,
8.31708640e+08 8.31778752e+08 8.31848896e+08]
[ 8.32199488e+08 8.32269648e+08 8.32339760e+08 ...,
8.33952640e+08 8.34022752e+08 8.34092896e+08]]
[[ 2.65289274e+09 2.65310355e+09 2.65331424e+09 ...,
2.65816147e+09 2.65837222e+09 2.65858298e+09]
[ 2.65963674e+09 2.65984749e+09 2.66005830e+09 ...,
2.66490554e+09 2.66511622e+09 2.66532704e+09]
[ 2.66638074e+09 2.66659155e+09 2.66680224e+09 ...,
2.67164947e+09 2.67186022e+09 2.67207098e+09]
...,
[ 2.82149274e+09 2.82170349e+09 2.82191430e+09 ...,
2.82676154e+09 2.82697222e+09 2.82718304e+09]
[ 2.82823674e+09 2.82844755e+09 2.82865824e+09 ...,
2.83350547e+09 2.83371622e+09 2.83392698e+09]
[ 2.83498074e+09 2.83519149e+09 2.83540230e+09 ...,
2.84024954e+09 2.84046022e+09 2.84067104e+09]]
[[ 4.53417395e+09 4.53452531e+09 4.53487667e+09 ...,
4.54295834e+09 4.54330970e+09 4.54366118e+09]
[ 4.54541798e+09 4.54576922e+09 4.54612070e+09 ...,
4.55420224e+09 4.55455373e+09 4.55490509e+09]
[ 4.55666202e+09 4.55701338e+09 4.55736474e+09 ...,
4.56544640e+09 4.56579776e+09 4.56614925e+09]
...,
[ 4.81527398e+09 4.81562522e+09 4.81597670e+09 ...,
4.82405824e+09 4.82440973e+09 4.82476109e+09]
[ 4.82651802e+09 4.82686938e+09 4.82722074e+09 ...,
4.83530240e+09 4.83565376e+09 4.83600525e+09]
[ 4.83776205e+09 4.83811328e+09 4.83846477e+09 ...,
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...,
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[ 2.75056620e+10 2.75060163e+10 2.75063726e+10 ...,
2.75144479e+10 2.75148022e+10 2.75151524e+10]]
...,
[[ 3.22940666e+11 3.22944827e+11 3.22948956e+11 ...,
3.23044311e+11 3.23048538e+11 3.23052700e+11]
[ 3.23073442e+11 3.23077538e+11 3.23081732e+11 ...,
3.23177087e+11 3.23181281e+11 3.23185443e+11]
[ 3.23206119e+11 3.23210346e+11 3.23214442e+11 ...,
3.23309863e+11 3.23314057e+11 3.23318186e+11]
...,
[ 3.26259278e+11 3.26263407e+11 3.26267568e+11 ...,
3.26362989e+11 3.26367150e+11 3.26371279e+11]
[ 3.26392021e+11 3.26396183e+11 3.26400311e+11 ...,
3.26495699e+11 3.26499860e+11 3.26504022e+11]
[ 3.26524764e+11 3.26528893e+11 3.26533054e+11 ...,
3.26628442e+11 3.26632636e+11 3.26636798e+11]]
[[ 3.33893992e+11 3.33898252e+11 3.33902512e+11 ...,
3.34001177e+11 3.34005469e+11 3.34009762e+11]
[ 3.34031192e+11 3.34035485e+11 3.34039777e+11 ...,
3.34138409e+11 3.34142734e+11 3.34146994e+11]
[ 3.34168457e+11 3.34172717e+11 3.34177010e+11 ...,
3.34275674e+11 3.34279934e+11 3.34284227e+11]
...,
[ 3.37325064e+11 3.37329357e+11 3.37333649e+11 ...,
3.37432314e+11 3.37436574e+11 3.37440866e+11]
[ 3.37462297e+11 3.37466589e+11 3.37470849e+11 ...,
3.37569513e+11 3.37573806e+11 3.37578099e+11]
[ 3.37599562e+11 3.37603822e+11 3.37608081e+11 ...,
3.37706746e+11 3.37711038e+11 3.37715331e+11]]
[[ 3.44847221e+11 3.44851677e+11 3.44856134e+11 ...,
3.44957977e+11 3.44962400e+11 3.44966791e+11]
[ 3.44988975e+11 3.44993366e+11 3.44997822e+11 ...,
3.45099731e+11 3.45104122e+11 3.45108546e+11]
[ 3.45130729e+11 3.45135153e+11 3.45139577e+11 ...,
3.45241453e+11 3.45245876e+11 3.45250333e+11]
...,
[ 3.48390818e+11 3.48395274e+11 3.48399698e+11 ...,
3.48501574e+11 3.48506030e+11 3.48510421e+11]
[ 3.48532539e+11 3.48537029e+11 3.48541420e+11 ...,
3.48643328e+11 3.48647752e+11 3.48652208e+11]
[ 3.48674294e+11 3.48678783e+11 3.48683207e+11 ...,
3.48785050e+11 3.48789506e+11 3.48793897e+11]]]
[[[ 5.51093914e+09 5.51100928e+09 5.51107994e+09 ...,
5.51269325e+09 5.51276237e+09 5.51283302e+09]
[ 5.51318323e+09 5.51325338e+09 5.51332403e+09 ...,
5.51493683e+09 5.51500646e+09 5.51507763e+09]
[ 5.51542733e+09 5.51549747e+09 5.51556762e+09 ...,
5.51718144e+09 5.51725056e+09 5.51732070e+09]
...,
[ 5.56703949e+09 5.56710912e+09 5.56717978e+09 ...,
5.56879258e+09 5.56886272e+09 5.56893286e+09]
[ 5.56928307e+09 5.56935322e+09 5.56942336e+09 ...,
5.57103718e+09 5.57110682e+09 5.57117645e+09]
[ 5.57152768e+09 5.57159731e+09 5.57166746e+09 ...,
5.57328077e+09 5.57335091e+09 5.57342054e+09]]
[[ 1.68962212e+10 1.68964332e+10 1.68966420e+10 ...,
1.69014907e+10 1.69017006e+10 1.69019105e+10]
[ 1.69029663e+10 1.69031762e+10 1.69033851e+10 ...,
1.69082337e+10 1.69084457e+10 1.69086536e+10]
[ 1.69097103e+10 1.69099182e+10 1.69101292e+10 ...,
1.69149788e+10 1.69151877e+10 1.69153987e+10]
...,
[ 1.70648218e+10 1.70650307e+10 1.70652406e+10 ...,
1.70700882e+10 1.70703012e+10 1.70705111e+10]
[ 1.70715668e+10 1.70717757e+10 1.70719867e+10 ...,
1.70768343e+10 1.70770442e+10 1.70772552e+10]
[ 1.70783089e+10 1.70785188e+10 1.70787318e+10 ...,
1.70835784e+10 1.70837873e+10 1.70839982e+10]]
[[ 2.82814996e+10 2.82818519e+10 2.82822042e+10 ...,
2.82902856e+10 2.82906358e+10 2.82909901e+10]
[ 2.82927473e+10 2.82930975e+10 2.82934477e+10 ...,
2.83015311e+10 2.83018813e+10 2.83022356e+10]
[ 2.83039908e+10 2.83043389e+10 2.83046953e+10 ...,
2.83127747e+10 2.83131290e+10 2.83134792e+10]
...,
[ 2.85626040e+10 2.85629522e+10 2.85633065e+10 ...,
2.85713879e+10 2.85717340e+10 2.85720904e+10]
[ 2.85738455e+10 2.85741957e+10 2.85745480e+10 ...,
2.85826294e+10 2.85829857e+10 2.85833318e+10]
[ 2.85850829e+10 2.85854433e+10 2.85857956e+10 ...,
2.85938729e+10 2.85942252e+10 2.85945795e+10]]
...,
[[ 3.35684076e+11 3.35688270e+11 3.35692399e+11 ...,
3.35787819e+11 3.35791948e+11 3.35796077e+11]
[ 3.35816851e+11 3.35820947e+11 3.35825142e+11 ...,
3.35920562e+11 3.35924691e+11 3.35928820e+11]
[ 3.35949595e+11 3.35953723e+11 3.35957885e+11 ...,
3.36053305e+11 3.36057434e+11 3.36061596e+11]
...,
[ 3.39002687e+11 3.39006816e+11 3.39010978e+11 ...,
3.39106431e+11 3.39110527e+11 3.39114754e+11]
[ 3.39135431e+11 3.39139592e+11 3.39143754e+11 ...,
3.39239141e+11 3.39243303e+11 3.39247432e+11]
[ 3.39268207e+11 3.39272335e+11 3.39276464e+11 ...,
3.39371885e+11 3.39376013e+11 3.39380208e+11]]
[[ 3.47069415e+11 3.47073675e+11 3.47077902e+11 ...,
3.47176600e+11 3.47180859e+11 3.47185185e+11]
[ 3.47206582e+11 3.47210908e+11 3.47215167e+11 ...,
3.47313799e+11 3.47318125e+11 3.47322483e+11]
[ 3.47343913e+11 3.47348140e+11 3.47352400e+11 ...,
3.47451032e+11 3.47455390e+11 3.47459715e+11]
...,
[ 3.50500454e+11 3.50504780e+11 3.50509072e+11 ...,
3.50607704e+11 3.50611997e+11 3.50616322e+11]
[ 3.50637720e+11 3.50642045e+11 3.50646272e+11 ...,
3.50744936e+11 3.50749262e+11 3.50753522e+11]
[ 3.50774985e+11 3.50779245e+11 3.50783537e+11 ...,
3.50882136e+11 3.50886461e+11 3.50890754e+11]]
[[ 3.58454690e+11 3.58459113e+11 3.58463537e+11 ...,
3.58565380e+11 3.58569837e+11 3.58574227e+11]
[ 3.58596411e+11 3.58600868e+11 3.58605259e+11 ...,
3.58707134e+11 3.58711591e+11 3.58715949e+11]
[ 3.58738166e+11 3.58742589e+11 3.58746948e+11 ...,
3.58848889e+11 3.58853345e+11 3.58857703e+11]
...,
[ 3.61998254e+11 3.62002678e+11 3.62007101e+11 ...,
3.62108977e+11 3.62113401e+11 3.62117890e+11]
[ 3.62140008e+11 3.62144465e+11 3.62148889e+11 ...,
3.62250732e+11 3.62255155e+11 3.62259644e+11]
[ 3.62281730e+11 3.62286154e+11 3.62290643e+11 ...,
3.62392519e+11 3.62396910e+11 3.62401333e+11]]]
[[[ 5.72636314e+09 5.72643379e+09 5.72650394e+09 ...,
5.72811674e+09 5.72818688e+09 5.72825702e+09]
[ 5.72860723e+09 5.72867789e+09 5.72874803e+09 ...,
5.73036083e+09 5.73043046e+09 5.73050112e+09]
[ 5.73085133e+09 5.73092147e+09 5.73099162e+09 ...,
5.73260493e+09 5.73267456e+09 5.73274470e+09]
...,
[ 5.78246349e+09 5.78253363e+09 5.78260378e+09 ...,
5.78421658e+09 5.78428672e+09 5.78435789e+09]
[ 5.78470707e+09 5.78477773e+09 5.78484838e+09 ...,
5.78646118e+09 5.78653082e+09 5.78660045e+09]
[ 5.78695168e+09 5.78702131e+09 5.78709146e+09 ...,
5.78870528e+09 5.78877491e+09 5.78884454e+09]]
[[ 1.75436452e+10 1.75438561e+10 1.75440650e+10 ...,
1.75489126e+10 1.75491256e+10 1.75493345e+10]
[ 1.75503892e+10 1.75506002e+10 1.75508111e+10 ...,
1.75556567e+10 1.75558697e+10 1.75560786e+10]
[ 1.75571354e+10 1.75573443e+10 1.75575532e+10 ...,
1.75624028e+10 1.75626117e+10 1.75628227e+10]
...,
[ 1.77122447e+10 1.77124557e+10 1.77126646e+10 ...,
1.77175142e+10 1.77177252e+10 1.77179341e+10]
[ 1.77189908e+10 1.77191997e+10 1.77194107e+10 ...,
1.77242583e+10 1.77244672e+10 1.77246802e+10]
[ 1.77257329e+10 1.77259438e+10 1.77261548e+10 ...,
1.77310024e+10 1.77312092e+10 1.77314222e+10]]
[[ 2.93609247e+10 2.93612749e+10 2.93616271e+10 ...,
2.93697106e+10 2.93700608e+10 2.93704110e+10]
[ 2.93721702e+10 2.93725225e+10 2.93728727e+10 ...,
2.93809541e+10 2.93813043e+10 2.93816607e+10]
[ 2.93834179e+10 2.93837640e+10 2.93841183e+10 ...,
2.93921997e+10 2.93925519e+10 2.93929042e+10]
...,
[ 2.96420270e+10 2.96423772e+10 2.96427295e+10 ...,
2.96508129e+10 2.96511570e+10 2.96515154e+10]
[ 2.96532705e+10 2.96536166e+10 2.96539750e+10 ...,
2.96620544e+10 2.96624087e+10 2.96627610e+10]
[ 2.96645100e+10 2.96648643e+10 2.96652227e+10 ...,
2.96732959e+10 2.96736502e+10 2.96740024e+10]]
...,
[[ 3.48427485e+11 3.48431647e+11 3.48435841e+11 ...,
3.48531229e+11 3.48535390e+11 3.48539519e+11]
[ 3.48560261e+11 3.48564390e+11 3.48568551e+11 ...,
3.48663939e+11 3.48668133e+11 3.48672295e+11]
[ 3.48693004e+11 3.48697199e+11 3.48701295e+11 ...,
3.48796748e+11 3.48800877e+11 3.48805005e+11]
...,
[ 3.51746130e+11 3.51750291e+11 3.51754387e+11 ...,
3.51849808e+11 3.51854002e+11 3.51858098e+11]
[ 3.51878840e+11 3.51882969e+11 3.51887163e+11 ...,
3.51982551e+11 3.51986713e+11 3.51990809e+11]
[ 3.52011649e+11 3.52015778e+11 3.52019874e+11 ...,
3.52115294e+11 3.52119456e+11 3.52123650e+11]]
[[ 3.60244773e+11 3.60249098e+11 3.60253391e+11 ...,
3.60352023e+11 3.60356315e+11 3.60360608e+11]
[ 3.60382038e+11 3.60386331e+11 3.60390623e+11 ...,
3.60489288e+11 3.60493515e+11 3.60497840e+11]
[ 3.60519238e+11 3.60523530e+11 3.60527856e+11 ...,
3.60626520e+11 3.60630780e+11 3.60635073e+11]
...,
[ 3.63675910e+11 3.63680170e+11 3.63684430e+11 ...,
3.63783094e+11 3.63787420e+11 3.63791712e+11]
[ 3.63813143e+11 3.63817435e+11 3.63821728e+11 ...,
3.63920327e+11 3.63924685e+11 3.63928945e+11]
[ 3.63950408e+11 3.63954635e+11 3.63958960e+11 ...,
3.64057625e+11 3.64061917e+11 3.64066177e+11]]
[[ 3.72062126e+11 3.72066517e+11 3.72070941e+11 ...,
3.72172816e+11 3.72177240e+11 3.72181631e+11]
[ 3.72203848e+11 3.72208304e+11 3.72212695e+11 ...,
3.72314571e+11 3.72318994e+11 3.72323418e+11]
[ 3.72345569e+11 3.72349993e+11 3.72354449e+11 ...,
3.72456292e+11 3.72460782e+11 3.72465140e+11]
...,
[ 3.75605658e+11 3.75610147e+11 3.75614472e+11 ...,
3.75716479e+11 3.75720903e+11 3.75725294e+11]
[ 3.75747412e+11 3.75751868e+11 3.75756292e+11 ...,
3.75858168e+11 3.75862624e+11 3.75867015e+11]
[ 3.75889166e+11 3.75893557e+11 3.75898046e+11 ...,
3.75999889e+11 3.76004379e+11 3.76008737e+11]]]]]
Max Abs Diff: 1608822784.0
Mean Abs Diff: 715784.932345
Median Abs Diff: 3072.0
Std Abs Diff: 33187947.7454
Max Rel Diff: 0.0130925523263
Mean Rel Diff: 6.05160772591e-06
Median Rel Diff: 2.41492555365e-08
Std Rel Diff: 0.000263201445224
rtol, atol: 1e-05 1e-05
-------------------- >> begin captured stdout << ---------------------
0.426204919815
0.0146541595459
--------------------- >> end captured stdout << ----------------------
----------------------------------------------------------------------
Ran 21040 tests in 6817.142s
FAILED (KNOWNFAIL=18, SKIP=46, errors=1)
Raw
stdout
Theano version 0.7.0
theano is installed in /usr/local/lib/python2.7/dist-packages/theano
NumPy version 1.8.2
NumPy is installed in /usr/lib/python2.7/dist-packages/numpy
Python version 2.7.6 (default, Mar 22 2014, 22:59:56) [GCC 4.8.2]
nose version 1.3.1
0.0581646137166
0.0581646137166
0.0581646137166
0.0581646137166
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