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Red Hat Bugzilla – Attachment 1466935 Details for
Bug 1605952
python-theano: FTBFS in Fedora rawhide
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build.log
build.log (text/plain), 32.00 KB, created by
Mohan Boddu
on 2018-07-20 17:45:14 UTC
(
hide
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Description:
build.log
Filename:
MIME Type:
Creator:
Mohan Boddu
Created:
2018-07-20 17:45:14 UTC
Size:
32.00 KB
patch
obsolete
>h/usr/lib/python3.7/site-packages/theano/misc/check_blas_many.sh /builddir/build/BUILDROOT/python-theano-1.0.2-1.fc29.2.noarch/usr/lib/python3.7/site-packages/theano/misc/check_multi_gpu.py /builddir/build/BUILDROOT/python-theano-1.0.2-1.fc29.2.noarch/usr/lib/python3.7/site-packages/theano/misc/buildbot_filter.py /builddir/build/BUILDROOT/python-theano-1.0.2-1.fc29.2.noarch/usr/lib/python3.7/site-packages/theano/gpuarray/tests/check_dnn_conv.py >+ /usr/lib/rpm/find-debuginfo.sh -j6 --strict-build-id -m -i --build-id-seed 1.0.2-1.fc29.2 --unique-debug-suffix -1.0.2-1.fc29.2.noarch --unique-debug-src-base python-theano-1.0.2-1.fc29.2.noarch --run-dwz --dwz-low-mem-die-limit 10000000 --dwz-max-die-limit 50000000 -S debugsourcefiles.list /builddir/build/BUILD/Theano-rel-1.0.2 >find: 'debug': No such file or directory >+ /usr/lib/rpm/check-buildroot >+ /usr/lib/rpm/redhat/brp-ldconfig >/sbin/ldconfig: Warning: ignoring configuration file that cannot be opened: /etc/ld.so.conf: No such file or directory >+ /usr/lib/rpm/brp-compress >+ /usr/lib/rpm/brp-strip-static-archive /usr/bin/strip >+ /usr/lib/rpm/brp-python-bytecompile /usr/bin/python 1 1 >Bytecompiling .py files below /builddir/build/BUILDROOT/python-theano-1.0.2-1.fc29.2.noarch/usr/lib/python2.7 using /usr/bin/python2.7 >Bytecompiling .py files below /builddir/build/BUILDROOT/python-theano-1.0.2-1.fc29.2.noarch/usr/lib/python3.7 using /usr/bin/python3.7 >+ /usr/lib/rpm/brp-python-hardlink >+ /usr/lib/rpm/redhat/brp-mangle-shebangs >/usr/share/lmod/lmod/init/bash: line 15: __lmod_vx: unbound variable >Executing(%check): /bin/sh -e /var/tmp/rpm-tmp.gAGSba >+ umask 022 >+ cd /builddir/build/BUILD >+ cd Theano-rel-1.0.2 >+ PYTHONPATH=/builddir/build/BUILD/Theano-rel-1.0.2 >+ bin/theano-nose --processes=0 --process-restartworker >................................................................................S...................S........./builddir/build/BUILD/Theano-rel-1.0.2/theano/compile/nanguardmode.py:150: RuntimeWarning: All-NaN slice encountered > return np.isinf(np.nanmax(arr)) or np.isinf(np.nanmin(arr)) >............................................../builddir/build/BUILD/Theano-rel-1.0.2/theano/gof/vm.py:887: UserWarning: CVM does not support memory profile, using Stack VM. > 'CVM does not support memory profile, using Stack VM.') >.................................................................................................................................................................................................../builddir/build/BUILD/Theano-rel-1.0.2/theano/gof/vm.py:890: UserWarning: LoopGC does not support partial evaluation, using Stack VM. > 'LoopGC does not support partial evaluation, ' >.......SSSSSSSSSSSSSSSSSSS./builddir/build/BUILD/Theano-rel-1.0.2/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. " >.SSSSSSS.....S............../builddir/build/BUILD/Theano-rel-1.0.2/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 ' >...................................................................................S...S....................................... >. >. >........... >....S...................S....................................................SSSSSS....................S............................./usr/lib/python2.7/site-packages/scipy/sparse/data.py:71: ComplexWarning: Casting complex values to real discards the imaginary part > self._deduped_data().astype(dtype, casting=casting, copy=copy), >/builddir/build/BUILD/Theano-rel-1.0.2/theano/sparse/tests/test_basic.py:2414: ComplexWarning: Casting complex values to real discards the imaginary part > expected = data.toarray().astype(o_dtype) >...../usr/lib/python2.7/site-packages/scipy/sparse/compressed.py:746: SparseEfficiencyWarning: Changing the sparsity structure of a csc_matrix is expensive. lil_matrix is more efficient. > SparseEfficiencyWarning) >/usr/lib/python2.7/site-packages/scipy/sparse/compressed.py:746: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient. > SparseEfficiencyWarning) >.......................................................S........S..........................................S....................../usr/lib/python2.7/site-packages/scipy/sparse/compressed.py:295: SparseEfficiencyWarning: Comparing sparse matrices using >= and <= is inefficient, using <, >, or !=, instead. > "using <, >, or !=, instead.", SparseEfficiencyWarning) >...................................S.............................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................../builddir/build/BUILD/Theano-rel-1.0.2/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. > warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." >......................................................................................................SSS............................/builddir/build/BUILD/Theano-rel-1.0.2/theano/tensor/nnet/tests/test_nnet.py:1008: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. > T.sum(-T.log(softmax(x)[T.arange(y.shape[0]), y])), >/builddir/build/BUILD/Theano-rel-1.0.2/theano/tensor/nnet/tests/test_nnet.py:1009: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. > -T.sum(T.log(softmax(x)[T.arange(y.shape[0]), y]))] >./builddir/build/BUILD/Theano-rel-1.0.2/theano/tensor/nnet/tests/test_nnet.py:1055: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. > T.sum(-T.log(softmax(x + b)[T.arange(y.shape[0]), y])), >/builddir/build/BUILD/Theano-rel-1.0.2/theano/tensor/nnet/tests/test_nnet.py:1056: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. > -T.sum(T.log(softmax(b + x)[T.arange(y.shape[0]), y])), >/builddir/build/BUILD/Theano-rel-1.0.2/theano/tensor/nnet/tests/test_nnet.py:1057: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. > -T.sum(T.log(softmax(x + b))[T.arange(y.shape[0]), y]), >/builddir/build/BUILD/Theano-rel-1.0.2/theano/tensor/nnet/tests/test_nnet.py:1058: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. > T.sum(-T.log(softmax(b + x))[T.arange(y.shape[0]), y])] >./builddir/build/BUILD/Theano-rel-1.0.2/theano/tensor/nnet/tests/test_nnet.py:1116: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. > T.sum(-T.log(softmax(x + b)[T.arange(y.shape[0]), y])), >/builddir/build/BUILD/Theano-rel-1.0.2/theano/tensor/nnet/tests/test_nnet.py:1117: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. > -T.sum(T.log(softmax(b + x)[T.arange(y.shape[0]), y])), >/builddir/build/BUILD/Theano-rel-1.0.2/theano/tensor/nnet/tests/test_nnet.py:1118: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. > -T.sum(T.log(softmax(x + b))[T.arange(y.shape[0]), y]), >/builddir/build/BUILD/Theano-rel-1.0.2/theano/tensor/nnet/tests/test_nnet.py:1119: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. > T.sum(-T.log(softmax(b + x))[T.arange(y.shape[0]), y])] >./builddir/build/BUILD/Theano-rel-1.0.2/theano/tensor/nnet/tests/test_nnet.py:1178: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. > T.sum(-T.log(softmax(x + b)[T.arange(y.shape[0]), y])), >/builddir/build/BUILD/Theano-rel-1.0.2/theano/tensor/nnet/tests/test_nnet.py:1179: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. > -T.sum(T.log(softmax(b + x)[T.arange(y.shape[0]), y])), >/builddir/build/BUILD/Theano-rel-1.0.2/theano/tensor/nnet/tests/test_nnet.py:1180: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. > -T.sum(T.log(softmax(x + b))[T.arange(y.shape[0]), y]), >/builddir/build/BUILD/Theano-rel-1.0.2/theano/tensor/nnet/tests/test_nnet.py:1181: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. > T.sum(-T.log(softmax(b + x))[T.arange(y.shape[0]), y])] >./builddir/build/BUILD/Theano-rel-1.0.2/theano/gof/opt.py:251: UserWarning: WARNING: Supervisor is not added. Please build a FunctionGraphvia theano.compile.function_module.std_graph()or add the Supervisor class manually. > sub_prof = optimizer.optimize(fgraph) >./usr/lib/python2.7/unittest/case.py:367: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. > testMethod() >............................./usr/lib/python2.7/unittest/case.py:367: UserWarning: DEPRECATION: If x is a vector, LogSoftmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. > testMethod() >./builddir/build/BUILD/Theano-rel-1.0.2/theano/gradient.py:1728: UserWarning: DEPRECATION: If x is a vector, LogSoftmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. > o_output = fun(*tensor_pt) >......./builddir/build/BUILD/Theano-rel-1.0.2/theano/gradient.py:1728: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. > o_output = fun(*tensor_pt) >......../builddir/build/BUILD/Theano-rel-1.0.2/theano/tensor/nnet/tests/test_nnet.py:155: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. > sm = T.nnet.softmax(a + b) >........S..SS....................................................................................................................................................................................................................................................................................................................................................................................................................................................................................../builddir/build/BUILD/Theano-rel-1.0.2/theano/tensor/signal/tests/test_pool.py:919: UserWarning: DEPRECATION: the 'ds' parameter is not going to exist anymore as it is going to be replaced by the parameter 'ws'. > mode=mode) >/builddir/build/BUILD/Theano-rel-1.0.2/theano/tensor/signal/tests/test_pool.py:919: UserWarning: DEPRECATION: the 'st' parameter is not going to exist anymore as it is going to be replaced by the parameter 'stride'. > mode=mode) >/builddir/build/BUILD/Theano-rel-1.0.2/theano/tensor/signal/tests/test_pool.py:919: UserWarning: DEPRECATION: the 'padding' parameter is not going to exist anymore as it is going to be replaced by the parameter 'pad'. > mode=mode) >.S../builddir/build/BUILD/Theano-rel-1.0.2/theano/tensor/signal/tests/test_pool.py:1103: UserWarning: DEPRECATION: the 'ds' parameter is not going to exist anymore as it is going to be replaced by the parameter 'ws'. > mode=mode) >/builddir/build/BUILD/Theano-rel-1.0.2/theano/tensor/signal/tests/test_pool.py:1103: UserWarning: DEPRECATION: the 'st' parameter is not going to exist anymore as it is going to be replaced by the parameter 'stride'. > mode=mode) >/builddir/build/BUILD/Theano-rel-1.0.2/theano/tensor/signal/tests/test_pool.py:1103: UserWarning: DEPRECATION: the 'padding' parameter is not going to exist anymore as it is going to be replaced by the parameter 'pad'. > mode=mode) >/builddir/build/BUILD/Theano-rel-1.0.2/theano/tensor/signal/tests/test_pool.py:1119: UserWarning: DEPRECATION: the 'ds' parameter is not going to exist anymore as it is going to be replaced by the parameter 'ws'. > mode=mode) >/builddir/build/BUILD/Theano-rel-1.0.2/theano/tensor/signal/tests/test_pool.py:1119: UserWarning: DEPRECATION: the 'st' parameter is not going to exist anymore as it is going to be replaced by the parameter 'stride'. > mode=mode) >/builddir/build/BUILD/Theano-rel-1.0.2/theano/tensor/signal/tests/test_pool.py:1119: UserWarning: DEPRECATION: the 'padding' parameter is not going to exist anymore as it is going to be replaced by the parameter 'pad'. > mode=mode) >....................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................../usr/lib/python2.7/unittest/case.py:367: DeprecationWarning: stack(*tensors) interface is deprecated, use stack(tensors, axis=0) instead. > testMethod() >............................................................................................................................................../builddir/build/BUILD/Theano-rel-1.0.2/theano/tensor/tests/test_basic.py:8227: UserWarning: Tile op is deprecated, use tile function instead. > [Tile(ndim)(advec, aivec_val)], >/builddir/build/BUILD/Theano-rel-1.0.2/theano/tensor/tests/test_basic.py:8235: UserWarning: Tile op is deprecated, use tile function instead. > [Tile(ndim)(admat, aivec_val)], >/builddir/build/BUILD/Theano-rel-1.0.2/theano/tensor/tests/test_basic.py:8243: UserWarning: Tile op is deprecated, use tile function instead. > [Tile(ndim)(adtens4, aivec_val)], >...........................................................................................................S................................................................................................................................................................................../builddir/build/BUILD/Theano-rel-1.0.2/theano/tensor/basic.py:5262: UserWarning: flatten outdim parameter is deprecated, use ndim instead. > "flatten outdim parameter is deprecated, use ndim instead.") >...........................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................S..SSSS.S..........................................................................................................S.....................S.............................../builddir/build/BUILD/Theano-rel-1.0.2/theano/tensor/nlinalg.py:176: DeprecationWarning: DeprecationWarning: theano.tensor.nlinalg.AllocDiagis deprecated, please use theano.tensor.AllocDiaginstead. > category=DeprecationWarning) >/builddir/build/BUILD/Theano-rel-1.0.2/theano/tensor/nlinalg.py:176: DeprecationWarning: DeprecationWarning: theano.tensor.nlinalg.AllocDiagis deprecated, please use theano.tensor.AllocDiaginstead. > category=DeprecationWarning) >./builddir/build/BUILD/Theano-rel-1.0.2/theano/tensor/nlinalg.py:176: DeprecationWarning: DeprecationWarning: theano.tensor.nlinalg.AllocDiagis deprecated, please use theano.tensor.AllocDiaginstead. > category=DeprecationWarning) >./builddir/build/BUILD/Theano-rel-1.0.2/theano/tensor/nlinalg.py:176: DeprecationWarning: DeprecationWarning: theano.tensor.nlinalg.AllocDiagis deprecated, please use theano.tensor.AllocDiaginstead. > category=DeprecationWarning) >.................................................................................................................................S.S..S............../builddir/build/BUILD/Theano-rel-1.0.2/theano/tensor/opt.py:3523: UserWarning: Your current code is fine, but Theano versions between 0.7rc1 and 0.10 (or development versions between Nov. 2014 and May 2017) might have given incorrect results. This graph has following pattern: inc_subtensor(zeros[idx], x)[idx], where idx is an array of integers. This used to be optimized to "x", which is incorrect if there are duplicated indices in idx. To disable this warning, set the Theano flag warn.inc_subtensor1_opt to False. > 'Your current code is fine, but Theano versions ' >......................................................S..............S..........................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................S/usr/lib/python2.7/unittest/case.py:367: UserWarning: consider_constant() is deprecated, use zero_grad() or disconnected_grad() instead. > testMethod() >................................................SS......SSSSS.......................Problem occurred during compilation with the command line below: >/usr/bin/g++ -shared -g -O3 -fno-math-errno -Wno-unused-label -Wno-unused-variable -Wno-write-strings -march=haswell -mmmx -mno-3dnow -msse -msse2 -msse3 -mssse3 -mno-sse4a -mcx16 -msahf -mmovbe -maes -mno-sha -mpclmul -mpopcnt -mabm -mno-lwp -mfma -mno-fma4 -mno-xop -mbmi -mno-sgx -mbmi2 -mno-pconfig -mno-wbnoinvd -mno-tbm -mavx -mavx2 -msse4.2 -msse4.1 -mlzcnt -mno-rtm -mno-hle -mrdrnd -mf16c -mfsgsbase -mno-rdseed -mno-prfchw -mno-adx -mfxsr -mxsave -mxsaveopt -mno-avx512f -mno-avx512er -mno-avx512cd -mno-avx512pf -mno-prefetchwt1 -mno-clflushopt -mno-xsavec -mno-xsaves -mno-avx512dq -mno-avx512bw -mno-avx512vl -mno-avx512ifma -mno-avx512vbmi -mno-avx5124fmaps -mno-avx5124vnniw -mno-clwb -mno-mwaitx -mno-clzero -mno-pku -mno-rdpid -mno-gfni -mno-shstk -mno-avx512vbmi2 -mno-avx512vnni -mno-vaes -mno-vpclmulqdq -mno-avx512bitalg -mno-movdiri -mno-movdir64b --param l1-cache-size=32 --param l1-cache-line-size=64 --param l2-cache-size=16384 -mtune=haswell -DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION -m32 -fPIC -I/usr/lib/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -I/builddir/build/BUILD/Theano-rel-1.0.2/theano/gof/c_code -L/usr/lib -fvisibility=hidden -o /builddir/.theano/compiledir_Linux-4.17-fc28.x86_64-i686-with-fedora-29-Rawhide-i686-2.7.15-32/tmpz0AcWd/d454d4da67b09bc3cab0258b89945349a34c42e75055b1efe65e299b18a9a0af.so /builddir/.theano/compiledir_Linux-4.17-fc28.x86_64-i686-with-fedora-29-Rawhide-i686-2.7.15-32/tmpz0AcWd/mod.cpp -lpython2.7 >EERROR (theano.gof.opt): SeqOptimizer apply <theano.gof.opt.EquilibriumOptimizer object at 0xf18bcf7c> >ERROR (theano.gof.opt): Traceback: >ERROR (theano.gof.opt): Traceback (most recent call last): > File "/builddir/build/BUILD/Theano-rel-1.0.2/theano/gof/opt.py", line 251, in apply > sub_prof = optimizer.optimize(fgraph) > File "/builddir/build/BUILD/Theano-rel-1.0.2/theano/gof/opt.py", line 97, in optimize > ret = self.apply(fgraph, *args, **kwargs) > File "/builddir/build/BUILD/Theano-rel-1.0.2/theano/gof/opt.py", line 2460, in apply > sub_prof = gopt.apply(fgraph) > File "/builddir/build/BUILD/Theano-rel-1.0.2/theano/gof/opt.py", line 281, in apply > callbacks_time = {} >MemoryError: ('The following error happened while compiling the node', for{cpu,scan_fn}(Elemwise{Mul}[(0, 0)].0, Subtensor{int64:int64:int8}.0, Elemwise{Mul}[(0, 0)].0, Reshape{1}.0, ev_input, ev_filters, MakeVector{dtype='int64'}.0, Alloc.0, InplaceDimShuffle{1,0,2,3}.0, Subtensor{::, ::, ::int64, ::int64}.0), '\n', 'The following error happened while compiling the node', Elemwise{Mul}[(0, 0)](ConvOp{('imshp', (None, None, None)),('kshp', (None, None)),('nkern', None),('bsize', None),('dx', 1),('dy', 1),('out_mode', 'full'),('unroll_batch', None),('unroll_kern', None),('unroll_patch', True),('imshp_logical', (None, None, None)),('kshp_logical', (None, None)),('kshp_logical_top_aligned', True)}.0, ev_input_copy), '\n', '[Elemwise{Mul}[(0, 0)](<TensorType(float64, 4D)>, ev_input_copy)]') >ERROR (theano.gof.opt): SeqOptimizer apply <theano.tensor.opt.ShapeOptimizer object at 0xea8c248c> >ERROR (theano.gof.opt): Traceback: >0.0581646137166 >0.0581646137166 >0.0581646137166 >0.0581646137166 >Traceback (most recent call last): > File "bin/theano-nose", line 3, in <module> > theano_nose.main() > File "/builddir/build/BUILD/Theano-rel-1.0.2/bin/theano_nose.py", line 207, in main > result = main_function() > File "/builddir/build/BUILD/Theano-rel-1.0.2/bin/theano_nose.py", line 121, in main_function > ret = nose.main(addplugins=addplugins) > File "/usr/lib/python2.7/site-packages/nose/core.py", line 121, in __init__ > **extra_args) > File "/usr/lib/python2.7/unittest/main.py", line 95, in __init__ > self.runTests() > File "/usr/lib/python2.7/site-packages/nose/core.py", line 207, in runTests > result = self.testRunner.run(self.test) > File "/usr/lib/python2.7/site-packages/nose/core.py", line 62, in run > test(result) > File "/usr/lib/python2.7/site-packages/nose/suite.py", line 177, in __call__ > return self.run(*arg, **kw) > File "/usr/lib/python2.7/site-packages/nose/suite.py", line 224, in run > test(orig) > File "/usr/lib/python2.7/unittest/suite.py", line 70, in __call__ > return self.run(*args, **kwds) > File "/usr/lib/python2.7/site-packages/nose/suite.py", line 75, in run > test(result) > File "/usr/lib/python2.7/site-packages/nose/suite.py", line 177, in __call__ > return self.run(*arg, **kw) > File "/usr/lib/python2.7/site-packages/nose/suite.py", line 224, in run > test(orig) > File "/usr/lib/python2.7/site-packages/nose/suite.py", line 177, in __call__ > return self.run(*arg, **kw) > File "/usr/lib/python2.7/site-packages/nose/suite.py", line 224, in run > test(orig) > File "/usr/lib/python2.7/site-packages/nose/suite.py", line 177, in __call__ > return self.run(*arg, **kw) > File "/usr/lib/python2.7/site-packages/nose/suite.py", line 224, in run > test(orig) > File "/usr/lib/python2.7/site-packages/nose/suite.py", line 177, in __call__ > return self.run(*arg, **kw) > File "/usr/lib/python2.7/site-packages/nose/suite.py", line 224, in run > test(orig) > File "/usr/lib/python2.7/site-packages/nose/case.py", line 45, in __call__ > return self.run(*arg, **kwarg) > File "/usr/lib/python2.7/site-packages/nose/case.py", line 138, in run > result.addError(self, err) > File "/usr/lib/python2.7/site-packages/nose/proxy.py", line 128, in addError > formatted = plugins.formatError(self.test, err) > File "/usr/lib/python2.7/site-packages/nose/plugins/manager.py", line 99, in __call__ > return self.call(*arg, **kw) > File "/usr/lib/python2.7/site-packages/nose/plugins/manager.py", line 141, in chain > result = meth(*arg, **kw) > File "/usr/lib/python2.7/site-packages/nose/plugins/logcapture.py", line 237, in formatError > return (ec, self.addCaptureToErr(ev, records), tb) > File "/usr/lib/python2.7/site-packages/nose/plugins/logcapture.py", line 245, in addCaptureToErr > [ln('>> end captured logging <<')]) >MemoryError: ('The following error happened while compiling the node', for{cpu,scan_fn}(Elemwise{Mul}[(0, 0)].0, Subtensor{int64:int64:int8}.0, Elemwise{Mul}[(0, 0)].0, Reshape{1}.0, ev_input, ev_filters, MakeVector{dtype='int64'}.0, Alloc.0, InplaceDimShuffle{1,0,2,3}.0, Subtensor{::, ::, ::int64, ::int64}.0), '\n', 'The following error happened while compiling the node', Elemwise{Mul}[(0, 0)](ConvOp{('imshp', (None, None, None)),('kshp', (None, None)),('nkern', None),('bsize', None),('dx', 1),('dy', 1),('out_mode', 'full'),('unroll_batch', None),('unroll_kern', None),('unroll_patch', True),('imshp_logical', (None, None, None)),('kshp_logical', (None, None)),('kshp_logical_top_aligned', True)}.0, ev_input_copy), '\n', '[Elemwise{Mul}[(0, 0)](<TensorType(float64, 4D)>, ev_input_copy)]') >Error in atexit._run_exitfuncs: >Traceback (most recent call last): > File "/usr/lib/python2.7/atexit.py", line 24, in _run_exitfuncs > func(*targs, **kargs) > File "/builddir/build/BUILD/Theano-rel-1.0.2/theano/gof/cmodule.py", line 1513, in _on_atexit > self.clear_old() > File "/builddir/build/BUILD/Theano-rel-1.0.2/theano/gof/cmodule.py", line 1317, in clear_old > cleanup=False) > File "/builddir/build/BUILD/Theano-rel-1.0.2/theano/gof/cmodule.py", line 768, in refresh > subdirs = sorted(os.listdir(self.dirname)) >MemoryError: ('The following error happened while compiling the node', for{cpu,scan_fn}(Elemwise{Mul}[(0, 0)].0, Subtensor{int64:int64:int8}.0, Elemwise{Mul}[(0, 0)].0, Reshape{1}.0, ev_input, ev_filters, MakeVector{dtype='int64'}.0, Alloc.0, InplaceDimShuffle{1,0,2,3}.0, Subtensor{::, ::, ::int64, ::int64}.0), '\n', 'The following error happened while compiling the node', Elemwise{Mul}[(0, 0)](ConvOp{('imshp', (None, None, None)),('kshp', (None, None)),('nkern', None),('bsize', None),('dx', 1),('dy', 1),('out_mode', 'full'),('unroll_batch', None),('unroll_kern', None),('unroll_patch', True),('imshp_logical', (None, None, None)),('kshp_logical', (None, None)),('kshp_logical_top_aligned', True)}.0, ev_input_copy), '\n', '[Elemwise{Mul}[(0, 0)](<TensorType(float64, 4D)>, ev_input_copy)]') >Error in sys.exitfunc: >Traceback (most recent call last): > File "/usr/lib/python2.7/atexit.py", line 24, in _run_exitfuncs > func(*targs, **kargs) > File "/builddir/build/BUILD/Theano-rel-1.0.2/theano/gof/cmodule.py", line 1513, in _on_atexit > self.clear_old() > File "/builddir/build/BUILD/Theano-rel-1.0.2/theano/gof/cmodule.py", line 1317, in clear_old > cleanup=False) > File "/builddir/build/BUILD/Theano-rel-1.0.2/theano/gof/cmodule.py", line 768, in refresh > subdirs = sorted(os.listdir(self.dirname)) >MemoryError: ('The following error happened while compiling the node', for{cpu,scan_fn}(Elemwise{Mul}[(0, 0)].0, Subtensor{int64:int64:int8}.0, Elemwise{Mul}[(0, 0)].0, Reshape{1}.0, ev_input, ev_filters, MakeVector{dtype='int64'}.0, Alloc.0, InplaceDimShuffle{1,0,2,3}.0, Subtensor{::, ::, ::int64, ::int64}.0), '\n', 'The following error happened while compiling the node', Elemwise{Mul}[(0, 0)](ConvOp{('imshp', (None, None, None)),('kshp', (None, None)),('nkern', None),('bsize', None),('dx', 1),('dy', 1),('out_mode', 'full'),('unroll_batch', None),('unroll_kern', None),('unroll_patch', True),('imshp_logical', (None, None, None)),('kshp_logical', (None, None)),('kshp_logical_top_aligned', True)}.0, ev_input_copy), '\n', '[Elemwise{Mul}[(0, 0)](<TensorType(float64, 4D)>, ev_input_copy)]') >error: Bad exit status from /var/tmp/rpm-tmp.gAGSba (%check) >RPM build errors: > Bad exit status from /var/tmp/rpm-tmp.gAGSba (%check) >Child return code was: 1 >EXCEPTION: [Error()] >Traceback (most recent call last): > File "/usr/lib/python3.6/site-packages/mockbuild/trace_decorator.py", line 89, in trace > result = func(*args, **kw) > File "/usr/lib/python3.6/site-packages/mockbuild/util.py", line 582, in do > raise exception.Error("Command failed. See logs for output.\n # %s" % (command,), child.returncode) >mockbuild.exception.Error: Command failed. See logs for output. > # bash --login -c /usr/bin/rpmbuild -bb --target noarch --nodeps /builddir/build/SPECS/python-theano.spec
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bug 1605952
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1466937