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- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 2, 2, 2), (1, 2, 1, 1), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 64, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, True, True)), CudaNdarrayType(float32, (True, False, False, True)), CudaNdarrayType(float32, (True, True, False, True)), <theano.gof.type.CDataType object at 0x7f85ac156110>, Scalar(float32)]
- Inputs shapes: [(2, 1, 1, 1), (1, 2, 2, 1), (1, 1, 2, 1), 'No shapes', ()]
- Inputs strides: [(1, 0, 0, 0), (0, 4, 2, 0), (0, 0, 1, 0), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85c7465a70>, <CudaNdarray object at 0x7f85d8901470>, <CudaNdarray object at 0x7f85c74659b0>, <PyCObject object at 0x7f85c5a5f918>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 1, 2, 2), (1, 1, 1, 1), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 65, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, True, True, True)), CudaNdarrayType(float32, (False, True, False, True)), CudaNdarrayType(float32, (False, True, False, True)), <theano.gof.type.CDataType object at 0x7f85aa13f690>, Scalar(float32)]
- Inputs shapes: [(1, 1, 1, 1), (3, 1, 2, 1), (3, 1, 2, 1), 'No shapes', ()]
- Inputs strides: [(0, 0, 0, 0), (4, 0, 2, 0), (2, 0, 1, 0), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85dcd7bbb0>, 'not shown', 'not shown', <PyCObject object at 0x7f85c5a5fdc8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 1, 2, 2), (2, 1, 1, 1), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 66, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, True, True)), CudaNdarrayType(float32, (True, True, False, True)), CudaNdarrayType(float32, (True, False, False, True)), <theano.gof.type.CDataType object at 0x7f85af310dd0>, Scalar(float32)]
- Inputs shapes: [(1, 2, 1, 1), (1, 1, 2, 1), (1, 2, 2, 1), 'No shapes', ()]
- Inputs strides: [(0, 1, 0, 0), (0, 0, 2, 0), (0, 2, 1, 0), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85c74fec30>, <CudaNdarray object at 0x7f85e0743070>, <CudaNdarray object at 0x7f85ac721270>, <PyCObject object at 0x7f85c5a5f198>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 1, 2, 2), (2, 1, 1, 1), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 67, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, True, True)), CudaNdarrayType(float32, (False, True, False, True)), CudaNdarrayType(float32, (False, False, False, True)), <theano.gof.type.CDataType object at 0x7f85af40de50>, Scalar(float32)]
- Inputs shapes: [(1, 2, 1, 1), (3, 1, 2, 1), (3, 2, 2, 1), 'No shapes', ()]
- Inputs strides: [(0, 1, 0, 0), (4, 0, 2, 0), (4, 2, 1, 0), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85e728acb0>, 'not shown', 'not shown', <PyCObject object at 0x7f85c5a5f698>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 2, 2, 2), (1, 2, 1, 1), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 68, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, True, True)), CudaNdarrayType(float32, (False, False, False, True)), CudaNdarrayType(float32, (False, True, False, True)), <theano.gof.type.CDataType object at 0x7f85af3f4750>, Scalar(float32)]
- Inputs shapes: [(2, 1, 1, 1), (3, 2, 2, 1), (3, 1, 2, 1), 'No shapes', ()]
- Inputs strides: [(1, 0, 0, 0), (8, 4, 2, 0), (2, 0, 1, 0), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85dcd969b0>, 'not shown', 'not shown', <PyCObject object at 0x7f85c5a5ffa8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 2, 2, 2), (2, 2, 1, 1), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 69, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, False, True, True)), CudaNdarrayType(float32, (True, False, False, True)), CudaNdarrayType(float32, (True, False, False, True)), <theano.gof.type.CDataType object at 0x7f85dcd3e190>, Scalar(float32)]
- Inputs shapes: [(2, 2, 1, 1), (1, 2, 2, 1), (1, 2, 2, 1), 'No shapes', ()]
- Inputs strides: [(2, 1, 0, 0), (0, 4, 2, 0), (0, 2, 1, 0), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85ac721c30>, <CudaNdarray object at 0x7f85aa602bb0>, <CudaNdarray object at 0x7f85ac721df0>, <PyCObject object at 0x7f85c5a5ff08>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((2, 2, 2, 2), (2, 2, 1, 1), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 70, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, False, True, True)), CudaNdarrayType(float32, (False, False, False, True)), CudaNdarrayType(float32, (False, False, False, True)), <theano.gof.type.CDataType object at 0x7f85abd5c890>, Scalar(float32)]
- Inputs shapes: [(2, 2, 1, 1), (2, 2, 2, 1), (2, 2, 2, 1), 'No shapes', ()]
- Inputs strides: [(2, 1, 0, 0), (8, 4, 2, 0), (4, 2, 1, 0), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85ac5ab8f0>, 'not shown', 'not shown', <PyCObject object at 0x7f85c5a5f4b8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 2, 2, 2), (4, 2, 1, 1), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 71, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, False, True, True)), CudaNdarrayType(float32, (False, False, False, True)), CudaNdarrayType(float32, (False, False, False, True)), <theano.gof.type.CDataType object at 0x7f85d8997110>, Scalar(float32)]
- Inputs shapes: [(2, 4, 1, 1), (3, 2, 2, 1), (3, 4, 2, 1), 'No shapes', ()]
- Inputs strides: [(4, 1, 0, 0), (8, 4, 2, 0), (8, 2, 1, 0), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85c5a5ff80>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 2, 4, 4), (1, 2, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 72, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), <theano.gof.type.CDataType object at 0x7f85c748a610>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (1, 2, 4, 2), (1, 1, 5, 3), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (0, 16, 4, 2), (0, 0, 3, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ac1b00a8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 1, 4, 4), (1, 1, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 73, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85c7422910>, Scalar(float32)]
- Inputs shapes: [(1, 1, 2, 2), (3, 1, 4, 2), (3, 1, 5, 3), 'No shapes', ()]
- Inputs strides: [(0, 0, 2, 1), (16, 0, 4, 2), (15, 0, 3, 1), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85ac5ab770>, 'not shown', 'not shown', <PyCObject object at 0x7f85ac1b0878>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 1, 4, 4), (2, 1, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 74, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85af3f4c90>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (1, 1, 4, 2), (1, 2, 5, 3), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (0, 0, 4, 2), (0, 15, 3, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ac1b0bc0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 1, 4, 4), (2, 1, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 75, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85abdd97d0>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (3, 1, 4, 2), (3, 2, 5, 3), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (16, 0, 4, 2), (30, 15, 3, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ac1b00d0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 2, 4, 4), (1, 2, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 76, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85dcced5d0>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (3, 2, 4, 2), (3, 1, 5, 3), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (32, 16, 4, 2), (15, 0, 3, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ac1b0eb8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 2, 4, 4), (2, 2, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 77, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85e6c4ab90>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (1, 2, 4, 2), (1, 2, 5, 3), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (0, 16, 4, 2), (0, 15, 3, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85df3b11e8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((2, 2, 4, 4), (2, 2, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 78, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85d3c31ed0>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (2, 2, 4, 2), (2, 2, 5, 3), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (32, 16, 4, 2), (30, 15, 3, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dcd3b490>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 2, 4, 4), (4, 2, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 79, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85d93f1510>, Scalar(float32)]
- Inputs shapes: [(2, 4, 2, 2), (3, 2, 4, 2), (3, 4, 5, 3), 'No shapes', ()]
- Inputs strides: [(16, 4, 2, 1), (32, 16, 4, 2), (60, 15, 3, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dcd3b710>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 2, 6, 6), (1, 2, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 80, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), <theano.gof.type.CDataType object at 0x7f85a972bf10>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (1, 2, 6, 3), (1, 1, 7, 4), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (0, 36, 6, 2), (0, 0, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dcd3b940>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 1, 6, 6), (1, 1, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 81, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85c73dd7d0>, Scalar(float32)]
- Inputs shapes: [(1, 1, 2, 2), (3, 1, 6, 3), (3, 1, 7, 4), 'No shapes', ()]
- Inputs strides: [(0, 0, 2, 1), (36, 0, 6, 2), (28, 0, 4, 1), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85d9465db0>, 'not shown', 'not shown', <PyCObject object at 0x7f85dcd3bbc0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 1, 6, 6), (2, 1, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 82, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85abdcf650>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (1, 1, 6, 3), (1, 2, 7, 4), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (0, 0, 6, 2), (0, 28, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dcd3be40>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 1, 6, 6), (2, 1, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 83, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85e7277050>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (3, 1, 6, 3), (3, 2, 7, 4), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (36, 0, 6, 2), (56, 28, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85df384120>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 2, 6, 6), (1, 2, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 84, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85aa8377d0>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (3, 2, 6, 3), (3, 1, 7, 4), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (72, 36, 6, 2), (28, 0, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ac1b0198>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 2, 6, 6), (2, 2, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 85, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85af27a590>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (1, 2, 6, 3), (1, 2, 7, 4), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (0, 36, 6, 2), (0, 28, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ac1b0580>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((2, 2, 6, 6), (2, 2, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 86, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85ab6a5290>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (2, 2, 6, 3), (2, 2, 7, 4), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (72, 36, 6, 2), (56, 28, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ac1b0120>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 2, 6, 6), (4, 2, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 87, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85dcd4dc50>, Scalar(float32)]
- Inputs shapes: [(2, 4, 2, 2), (3, 2, 6, 3), (3, 4, 7, 4), 'No shapes', ()]
- Inputs strides: [(16, 4, 2, 1), (72, 36, 6, 2), (112, 28, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ac1b0a30>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 2, 8, 6), (1, 2, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 88, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), <theano.gof.type.CDataType object at 0x7f85e06ecdd0>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (1, 2, 8, 3), (1, 1, 9, 4), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (0, 48, 6, 2), (0, 0, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dee12c60>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 1, 8, 6), (1, 1, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 89, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85aa826a10>, Scalar(float32)]
- Inputs shapes: [(1, 1, 2, 2), (3, 1, 8, 3), (3, 1, 9, 4), 'No shapes', ()]
- Inputs strides: [(0, 0, 2, 1), (48, 0, 6, 2), (36, 0, 4, 1), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85aa837df0>, 'not shown', 'not shown', <PyCObject object at 0x7f85dee121c0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 1, 8, 6), (2, 1, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 90, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85e06ec750>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (1, 1, 8, 3), (1, 2, 9, 4), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (0, 0, 6, 2), (0, 36, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ddae4e90>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 1, 8, 6), (2, 1, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 91, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85ddac4750>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (3, 1, 8, 3), (3, 2, 9, 4), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (48, 0, 6, 2), (72, 36, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ddae4be8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 2, 8, 6), (1, 2, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 92, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85af111f10>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (3, 2, 8, 3), (3, 1, 9, 4), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (96, 48, 6, 2), (36, 0, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ddae4fa8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 2, 8, 6), (2, 2, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 93, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85c73b4590>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (1, 2, 8, 3), (1, 2, 9, 4), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (0, 48, 6, 2), (0, 36, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ddae4fd0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((2, 2, 8, 6), (2, 2, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 94, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85e06c1390>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (2, 2, 8, 3), (2, 2, 9, 4), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (96, 48, 6, 2), (72, 36, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a9614878>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 2, 8, 6), (4, 2, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 95, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85abd28690>, Scalar(float32)]
- Inputs shapes: [(2, 4, 2, 2), (3, 2, 8, 3), (3, 4, 9, 4), 'No shapes', ()]
- Inputs strides: [(16, 4, 2, 1), (96, 48, 6, 2), (144, 36, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a96143c8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 2, 6, 8), (1, 2, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 96, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), <theano.gof.type.CDataType object at 0x7f85e7282c90>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (1, 2, 6, 4), (1, 1, 7, 5), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (0, 48, 8, 2), (0, 0, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a9614d78>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 1, 6, 8), (1, 1, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 97, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85abdcf710>, Scalar(float32)]
- Inputs shapes: [(1, 1, 2, 2), (3, 1, 6, 4), (3, 1, 7, 5), 'No shapes', ()]
- Inputs strides: [(0, 0, 2, 1), (48, 0, 8, 2), (35, 0, 5, 1), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85ac722170>, 'not shown', 'not shown', <PyCObject object at 0x7f85a9614288>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 1, 6, 8), (2, 1, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 98, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85a9fabf90>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (1, 1, 6, 4), (1, 2, 7, 5), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (0, 0, 8, 2), (0, 35, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a9614170>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 1, 6, 8), (2, 1, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 99, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85c7503950>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (3, 1, 6, 4), (3, 2, 7, 5), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (48, 0, 8, 2), (70, 35, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dbdf12b0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 2, 6, 8), (1, 2, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 100, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85d88dce10>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (3, 2, 6, 4), (3, 1, 7, 5), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (96, 48, 8, 2), (35, 0, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dbdf1c10>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 2, 6, 8), (2, 2, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 101, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85aa829410>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (1, 2, 6, 4), (1, 2, 7, 5), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (0, 48, 8, 2), (0, 35, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dbdf12d8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((2, 2, 6, 8), (2, 2, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 102, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85e072a2d0>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (2, 2, 6, 4), (2, 2, 7, 5), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (96, 48, 8, 2), (70, 35, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dbdf1aa8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 2, 6, 8), (4, 2, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 103, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85dcd71950>, Scalar(float32)]
- Inputs shapes: [(2, 4, 2, 2), (3, 2, 6, 4), (3, 4, 7, 5), 'No shapes', ()]
- Inputs strides: [(16, 4, 2, 1), (96, 48, 8, 2), (140, 35, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dbdf1be8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 2, 8, 8), (1, 2, 3, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 104, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), <theano.gof.type.CDataType object at 0x7f85ac156450>, Scalar(float32)]
- Inputs shapes: [(2, 1, 3, 2), (1, 2, 8, 4), (1, 1, 10, 5), 'No shapes', ()]
- Inputs strides: [(6, 0, 2, 1), (0, 64, 8, 2), (0, 0, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a9433698>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 1, 8, 8), (1, 1, 3, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 105, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85dcff8c50>, Scalar(float32)]
- Inputs shapes: [(1, 1, 3, 2), (3, 1, 8, 4), (3, 1, 10, 5), 'No shapes', ()]
- Inputs strides: [(0, 0, 2, 1), (64, 0, 8, 2), (50, 0, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a9433a58>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 1, 8, 8), (2, 1, 3, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 106, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85d88dc1d0>, Scalar(float32)]
- Inputs shapes: [(1, 2, 3, 2), (1, 1, 8, 4), (1, 2, 10, 5), 'No shapes', ()]
- Inputs strides: [(0, 6, 2, 1), (0, 0, 8, 2), (0, 50, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a94331c0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 1, 8, 8), (2, 1, 3, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 107, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85af33b290>, Scalar(float32)]
- Inputs shapes: [(1, 2, 3, 2), (3, 1, 8, 4), (3, 2, 10, 5), 'No shapes', ()]
- Inputs strides: [(0, 6, 2, 1), (64, 0, 8, 2), (100, 50, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a94338f0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 2, 8, 8), (1, 2, 3, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 108, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85d88dc210>, Scalar(float32)]
- Inputs shapes: [(2, 1, 3, 2), (3, 2, 8, 4), (3, 1, 10, 5), 'No shapes', ()]
- Inputs strides: [(6, 0, 2, 1), (128, 64, 8, 2), (50, 0, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a9433d00>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 2, 8, 8), (2, 2, 3, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 109, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85af4008d0>, Scalar(float32)]
- Inputs shapes: [(2, 2, 3, 2), (1, 2, 8, 4), (1, 2, 10, 5), 'No shapes', ()]
- Inputs strides: [(12, 6, 2, 1), (0, 64, 8, 2), (0, 50, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a973ab98>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((2, 2, 8, 8), (2, 2, 3, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 110, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85ac1563d0>, Scalar(float32)]
- Inputs shapes: [(2, 2, 3, 2), (2, 2, 8, 4), (2, 2, 10, 5), 'No shapes', ()]
- Inputs strides: [(12, 6, 2, 1), (128, 64, 8, 2), (100, 50, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a973a6e8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 2, 8, 8), (4, 2, 3, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 111, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85e06df410>, Scalar(float32)]
- Inputs shapes: [(2, 4, 3, 2), (3, 2, 8, 4), (3, 4, 10, 5), 'No shapes', ()]
- Inputs strides: [(24, 6, 2, 1), (128, 64, 8, 2), (200, 50, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a973aaf8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 2, 8, 8), (1, 2, 2, 3), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 112, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), <theano.gof.type.CDataType object at 0x7f85ac59dbd0>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 3), (1, 2, 8, 4), (1, 1, 9, 6), 'No shapes', ()]
- Inputs strides: [(6, 0, 3, 1), (0, 64, 8, 2), (0, 0, 6, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a973a4b8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 1, 8, 8), (1, 1, 2, 3), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 113, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85dcfece90>, Scalar(float32)]
- Inputs shapes: [(1, 1, 2, 3), (3, 1, 8, 4), (3, 1, 9, 6), 'No shapes', ()]
- Inputs strides: [(0, 0, 3, 1), (64, 0, 8, 2), (54, 0, 6, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a973a878>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 1, 8, 8), (2, 1, 2, 3), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 114, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85e072a190>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 3), (1, 1, 8, 4), (1, 2, 9, 6), 'No shapes', ()]
- Inputs strides: [(0, 6, 3, 1), (0, 0, 8, 2), (0, 54, 6, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a973ab20>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 1, 8, 8), (2, 1, 2, 3), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 115, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85c7578ad0>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 3), (3, 1, 8, 4), (3, 2, 9, 6), 'No shapes', ()]
- Inputs strides: [(0, 6, 3, 1), (64, 0, 8, 2), (108, 54, 6, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85c5a5f0a8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 2, 8, 8), (1, 2, 2, 3), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 116, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85ab699490>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 3), (3, 2, 8, 4), (3, 1, 9, 6), 'No shapes', ()]
- Inputs strides: [(6, 0, 3, 1), (128, 64, 8, 2), (54, 0, 6, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85c5a5f828>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 2, 8, 8), (2, 2, 2, 3), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 117, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85ac5ab550>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 3), (1, 2, 8, 4), (1, 2, 9, 6), 'No shapes', ()]
- Inputs strides: [(12, 6, 3, 1), (0, 64, 8, 2), (0, 54, 6, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85c5a5fe68>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((2, 2, 8, 8), (2, 2, 2, 3), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 118, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85ddb45210>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 3), (2, 2, 8, 4), (2, 2, 9, 6), 'No shapes', ()]
- Inputs strides: [(12, 6, 3, 1), (128, 64, 8, 2), (108, 54, 6, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85c5a5fcb0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 2, 8, 8), (4, 2, 2, 3), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 119, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85ddb1a8d0>, Scalar(float32)]
- Inputs shapes: [(2, 4, 2, 3), (3, 2, 8, 4), (3, 4, 9, 6), 'No shapes', ()]
- Inputs strides: [(24, 6, 3, 1), (128, 64, 8, 2), (216, 54, 6, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85c5a5f7b0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 2, 2, 2), (1, 2, 1, 1), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 120, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, True, True)), CudaNdarrayType(float32, (True, False, True, False)), CudaNdarrayType(float32, (True, True, True, False)), <theano.gof.type.CDataType object at 0x7f85d3c1c790>, Scalar(float32)]
- Inputs shapes: [(2, 1, 1, 1), (1, 2, 1, 2), (1, 1, 1, 2), 'No shapes', ()]
- Inputs strides: [(1, 0, 0, 0), (0, 4, 0, 1), (0, 0, 0, 1), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85c75cc570>, <CudaNdarray object at 0x7f85af12b570>, <CudaNdarray object at 0x7f85dcfec930>, <PyCObject object at 0x7f85c5a5f0f8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 2, 2, 2), (1, 2, 1, 1), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 124, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, True, True)), CudaNdarrayType(float32, (False, False, True, False)), CudaNdarrayType(float32, (False, True, True, False)), <theano.gof.type.CDataType object at 0x7f85ac6f6890>, Scalar(float32)]
- Inputs shapes: [(2, 1, 1, 1), (3, 2, 1, 2), (3, 1, 1, 2), 'No shapes', ()]
- Inputs strides: [(1, 0, 0, 0), (8, 4, 0, 1), (2, 0, 0, 1), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85e06952f0>, 'not shown', 'not shown', <PyCObject object at 0x7f85dcd3bee0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 2, 2, 2), (2, 2, 1, 1), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 125, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, False, True, True)), CudaNdarrayType(float32, (True, False, True, False)), CudaNdarrayType(float32, (True, False, True, False)), <theano.gof.type.CDataType object at 0x7f85c59ea810>, Scalar(float32)]
- Inputs shapes: [(2, 2, 1, 1), (1, 2, 1, 2), (1, 2, 1, 2), 'No shapes', ()]
- Inputs strides: [(2, 1, 0, 0), (0, 4, 0, 1), (0, 2, 0, 1), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85ac5fe470>, <CudaNdarray object at 0x7f85c9036ef0>, <CudaNdarray object at 0x7f85d88dc1b0>, <PyCObject object at 0x7f85dcd3bfd0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((2, 2, 2, 2), (2, 2, 1, 1), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 126, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, False, True, True)), CudaNdarrayType(float32, (False, False, True, False)), CudaNdarrayType(float32, (False, False, True, False)), <theano.gof.type.CDataType object at 0x7f85dee0d7d0>, Scalar(float32)]
- Inputs shapes: [(2, 2, 1, 1), (2, 2, 1, 2), (2, 2, 1, 2), 'No shapes', ()]
- Inputs strides: [(2, 1, 0, 0), (8, 4, 0, 1), (4, 2, 0, 1), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85a9e55870>, 'not shown', 'not shown', <PyCObject object at 0x7f85dcd3b350>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 2, 2, 2), (4, 2, 1, 1), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 127, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, False, True, True)), CudaNdarrayType(float32, (False, False, True, False)), CudaNdarrayType(float32, (False, False, True, False)), <theano.gof.type.CDataType object at 0x7f85a87198d0>, Scalar(float32)]
- Inputs shapes: [(2, 4, 1, 1), (3, 2, 1, 2), (3, 4, 1, 2), 'No shapes', ()]
- Inputs strides: [(4, 1, 0, 0), (8, 4, 0, 1), (8, 2, 0, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dcd3bf30>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 2, 4, 4), (1, 2, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 128, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), <theano.gof.type.CDataType object at 0x7f85d88e4050>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (1, 2, 2, 4), (1, 1, 3, 5), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (0, 16, 8, 1), (0, 0, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a973af30>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 1, 4, 4), (1, 1, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 129, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85c72f2fd0>, Scalar(float32)]
- Inputs shapes: [(1, 1, 2, 2), (3, 1, 2, 4), (3, 1, 3, 5), 'No shapes', ()]
- Inputs strides: [(0, 0, 2, 1), (16, 0, 8, 1), (15, 0, 5, 1), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85ddb1a6b0>, 'not shown', 'not shown', <PyCObject object at 0x7f85a973a6c0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 1, 4, 4), (2, 1, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 130, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85af10d710>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (1, 1, 2, 4), (1, 2, 3, 5), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (0, 0, 8, 1), (0, 15, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dbdf1dc8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 1, 4, 4), (2, 1, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 131, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85e6c3a3d0>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (3, 1, 2, 4), (3, 2, 3, 5), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (16, 0, 8, 1), (30, 15, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dbdf1fa8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 2, 4, 4), (1, 2, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 132, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85c7578710>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (3, 2, 2, 4), (3, 1, 3, 5), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (32, 16, 8, 1), (15, 0, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ddae4418>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 2, 4, 4), (2, 2, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 133, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85af40f7d0>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (1, 2, 2, 4), (1, 2, 3, 5), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (0, 16, 8, 1), (0, 15, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ddae4580>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((2, 2, 4, 4), (2, 2, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 134, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85c7368cd0>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (2, 2, 2, 4), (2, 2, 3, 5), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (32, 16, 8, 1), (30, 15, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dee12710>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 2, 4, 4), (4, 2, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 135, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85c5a204d0>, Scalar(float32)]
- Inputs shapes: [(2, 4, 2, 2), (3, 2, 2, 4), (3, 4, 3, 5), 'No shapes', ()]
- Inputs strides: [(16, 4, 2, 1), (32, 16, 8, 1), (60, 15, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ac1b0c60>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 2, 6, 6), (1, 2, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 136, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), <theano.gof.type.CDataType object at 0x7f85c901efd0>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (1, 2, 3, 6), (1, 1, 4, 7), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (0, 36, 12, 1), (0, 0, 7, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ac1b0670>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 1, 6, 6), (1, 1, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 137, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85e072afd0>, Scalar(float32)]
- Inputs shapes: [(1, 1, 2, 2), (3, 1, 3, 6), (3, 1, 4, 7), 'No shapes', ()]
- Inputs strides: [(0, 0, 2, 1), (36, 0, 12, 1), (28, 0, 7, 1), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85e7e0cf70>, 'not shown', 'not shown', <PyCObject object at 0x7f85ac1b0df0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 1, 6, 6), (2, 1, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 138, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85c7497e10>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (1, 1, 3, 6), (1, 2, 4, 7), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (0, 0, 12, 1), (0, 28, 7, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ac1b0288>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 1, 6, 6), (2, 1, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 139, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85e7e1ff10>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (3, 1, 3, 6), (3, 2, 4, 7), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (36, 0, 12, 1), (56, 28, 7, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ac1b0490>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 2, 6, 6), (1, 2, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 140, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85ac13e910>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (3, 2, 3, 6), (3, 1, 4, 7), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (72, 36, 12, 1), (28, 0, 7, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a96143a0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 2, 6, 6), (2, 2, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 141, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85dc2b29d0>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (1, 2, 3, 6), (1, 2, 4, 7), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (0, 36, 12, 1), (0, 28, 7, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a9614800>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((2, 2, 6, 6), (2, 2, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 142, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85dc2b2610>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (2, 2, 3, 6), (2, 2, 4, 7), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (72, 36, 12, 1), (56, 28, 7, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a9614b70>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 2, 6, 6), (4, 2, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 143, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85c7327d10>, Scalar(float32)]
- Inputs shapes: [(2, 4, 2, 2), (3, 2, 3, 6), (3, 4, 4, 7), 'No shapes', ()]
- Inputs strides: [(16, 4, 2, 1), (72, 36, 12, 1), (112, 28, 7, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85c5a5fcd8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 2, 8, 6), (1, 2, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 144, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), <theano.gof.type.CDataType object at 0x7f85ddac4a50>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (1, 2, 4, 6), (1, 1, 5, 7), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (0, 48, 12, 1), (0, 0, 7, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85c5a5f468>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 1, 8, 6), (1, 1, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 145, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85e7cd29d0>, Scalar(float32)]
- Inputs shapes: [(1, 1, 2, 2), (3, 1, 4, 6), (3, 1, 5, 7), 'No shapes', ()]
- Inputs strides: [(0, 0, 2, 1), (48, 0, 12, 1), (35, 0, 7, 1), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85abd28df0>, 'not shown', 'not shown', <PyCObject object at 0x7f85c5a5f378>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 1, 8, 6), (2, 1, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 146, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85c743a090>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (1, 1, 4, 6), (1, 2, 5, 7), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (0, 0, 12, 1), (0, 35, 7, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85c5a5f490>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 1, 8, 6), (2, 1, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 147, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85c5a39650>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (3, 1, 4, 6), (3, 2, 5, 7), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (48, 0, 12, 1), (70, 35, 7, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a9433c60>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 2, 8, 6), (1, 2, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 148, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85df38ab10>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (3, 2, 4, 6), (3, 1, 5, 7), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (96, 48, 12, 1), (35, 0, 7, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a9433aa8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 2, 8, 6), (2, 2, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 149, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85c9039310>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (1, 2, 4, 6), (1, 2, 5, 7), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (0, 48, 12, 1), (0, 35, 7, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a9433440>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((2, 2, 8, 6), (2, 2, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 150, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85dcd4d7d0>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (2, 2, 4, 6), (2, 2, 5, 7), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (96, 48, 12, 1), (70, 35, 7, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a9433fa8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 2, 8, 6), (4, 2, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 151, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85aa16be10>, Scalar(float32)]
- Inputs shapes: [(2, 4, 2, 2), (3, 2, 4, 6), (3, 4, 5, 7), 'No shapes', ()]
- Inputs strides: [(16, 4, 2, 1), (96, 48, 12, 1), (140, 35, 7, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dcd3b8a0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 2, 6, 8), (1, 2, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 152, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), <theano.gof.type.CDataType object at 0x7f85ac5ab750>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (1, 2, 3, 8), (1, 1, 4, 9), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (0, 48, 16, 1), (0, 0, 9, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dcd3b8c8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 1, 6, 8), (1, 1, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 153, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85af28b590>, Scalar(float32)]
- Inputs shapes: [(1, 1, 2, 2), (3, 1, 3, 8), (3, 1, 4, 9), 'No shapes', ()]
- Inputs strides: [(0, 0, 2, 1), (48, 0, 16, 1), (36, 0, 9, 1), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85d37bf3f0>, 'not shown', 'not shown', <PyCObject object at 0x7f85dcd3b9e0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 1, 6, 8), (2, 1, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 154, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85abd28510>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (1, 1, 3, 8), (1, 2, 4, 9), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (0, 0, 16, 1), (0, 36, 9, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dcd3b4e0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 1, 6, 8), (2, 1, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 155, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85e7277450>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (3, 1, 3, 8), (3, 2, 4, 9), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (48, 0, 16, 1), (72, 36, 9, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85e0a37058>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 2, 6, 8), (1, 2, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 156, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85af3f4b10>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (3, 2, 3, 8), (3, 1, 4, 9), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (96, 48, 16, 1), (36, 0, 9, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85deb9e2d8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 2, 6, 8), (2, 2, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 157, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85d3c31690>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (1, 2, 3, 8), (1, 2, 4, 9), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (0, 48, 16, 1), (0, 36, 9, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85deb9e558>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((2, 2, 6, 8), (2, 2, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 158, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85dee983d0>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (2, 2, 3, 8), (2, 2, 4, 9), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (96, 48, 16, 1), (72, 36, 9, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85deb9e800>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 2, 6, 8), (4, 2, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 159, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85af22ce50>, Scalar(float32)]
- Inputs shapes: [(2, 4, 2, 2), (3, 2, 3, 8), (3, 4, 4, 9), 'No shapes', ()]
- Inputs strides: [(16, 4, 2, 1), (96, 48, 16, 1), (144, 36, 9, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85deb9ea80>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 2, 8, 8), (1, 2, 3, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 160, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), <theano.gof.type.CDataType object at 0x7f85c73b4d90>, Scalar(float32)]
- Inputs shapes: [(2, 1, 3, 2), (1, 2, 4, 8), (1, 1, 6, 9), 'No shapes', ()]
- Inputs strides: [(6, 0, 2, 1), (0, 64, 16, 1), (0, 0, 9, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85deb9ecb0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 1, 8, 8), (1, 1, 3, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 161, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85aa144ad0>, Scalar(float32)]
- Inputs shapes: [(1, 1, 3, 2), (3, 1, 4, 8), (3, 1, 6, 9), 'No shapes', ()]
- Inputs strides: [(0, 0, 2, 1), (64, 0, 16, 1), (54, 0, 9, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85deb9ef30>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 1, 8, 8), (2, 1, 3, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 162, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85abccab50>, Scalar(float32)]
- Inputs shapes: [(1, 2, 3, 2), (1, 1, 4, 8), (1, 2, 6, 9), 'No shapes', ()]
- Inputs strides: [(0, 6, 2, 1), (0, 0, 16, 1), (0, 54, 9, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85e07f41e8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 1, 8, 8), (2, 1, 3, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 163, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85a972f9d0>, Scalar(float32)]
- Inputs shapes: [(1, 2, 3, 2), (3, 1, 4, 8), (3, 2, 6, 9), 'No shapes', ()]
- Inputs strides: [(0, 6, 2, 1), (64, 0, 16, 1), (108, 54, 9, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85e6572490>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 2, 8, 8), (1, 2, 3, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 164, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85c90392d0>, Scalar(float32)]
- Inputs shapes: [(2, 1, 3, 2), (3, 2, 4, 8), (3, 1, 6, 9), 'No shapes', ()]
- Inputs strides: [(6, 0, 2, 1), (128, 64, 16, 1), (54, 0, 9, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85e6572710>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 2, 8, 8), (2, 2, 3, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 165, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85ab6a5750>, Scalar(float32)]
- Inputs shapes: [(2, 2, 3, 2), (1, 2, 4, 8), (1, 2, 6, 9), 'No shapes', ()]
- Inputs strides: [(12, 6, 2, 1), (0, 64, 16, 1), (0, 54, 9, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85e6572990>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((2, 2, 8, 8), (2, 2, 3, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 166, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85c74fe1d0>, Scalar(float32)]
- Inputs shapes: [(2, 2, 3, 2), (2, 2, 4, 8), (2, 2, 6, 9), 'No shapes', ()]
- Inputs strides: [(12, 6, 2, 1), (128, 64, 16, 1), (108, 54, 9, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85e6572c38>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 2, 8, 8), (4, 2, 3, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 167, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85d940d950>, Scalar(float32)]
- Inputs shapes: [(2, 4, 3, 2), (3, 2, 4, 8), (3, 4, 6, 9), 'No shapes', ()]
- Inputs strides: [(24, 6, 2, 1), (128, 64, 16, 1), (216, 54, 9, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85e6572eb8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 2, 8, 8), (1, 2, 2, 3), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 168, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), <theano.gof.type.CDataType object at 0x7f85ddb6f6d0>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 3), (1, 2, 4, 8), (1, 1, 5, 10), 'No shapes', ()]
- Inputs strides: [(6, 0, 3, 1), (0, 64, 16, 1), (0, 0, 10, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85df607120>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 1, 8, 8), (1, 1, 2, 3), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 169, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85c748be50>, Scalar(float32)]
- Inputs shapes: [(1, 1, 2, 3), (3, 1, 4, 8), (3, 1, 5, 10), 'No shapes', ()]
- Inputs strides: [(0, 0, 3, 1), (64, 0, 16, 1), (50, 0, 10, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85e6c5c3a0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 1, 8, 8), (2, 1, 2, 3), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 170, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85c748b910>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 3), (1, 1, 4, 8), (1, 2, 5, 10), 'No shapes', ()]
- Inputs strides: [(0, 6, 3, 1), (0, 0, 16, 1), (0, 50, 10, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85e6c5c620>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 1, 8, 8), (2, 1, 2, 3), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 171, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85c5a38150>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 3), (3, 1, 4, 8), (3, 2, 5, 10), 'No shapes', ()]
- Inputs strides: [(0, 6, 3, 1), (64, 0, 16, 1), (100, 50, 10, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85e6c5c8c8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 2, 8, 8), (1, 2, 2, 3), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 172, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85c7465d10>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 3), (3, 2, 4, 8), (3, 1, 5, 10), 'No shapes', ()]
- Inputs strides: [(6, 0, 3, 1), (128, 64, 16, 1), (50, 0, 10, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85e6c5cb48>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 2, 8, 8), (2, 2, 2, 3), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 173, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85c59ea090>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 3), (1, 2, 4, 8), (1, 2, 5, 10), 'No shapes', ()]
- Inputs strides: [(12, 6, 3, 1), (0, 64, 16, 1), (0, 50, 10, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85e6c5cdc8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((2, 2, 8, 8), (2, 2, 2, 3), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 174, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85ac5fe290>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 3), (2, 2, 4, 8), (2, 2, 5, 10), 'No shapes', ()]
- Inputs strides: [(12, 6, 3, 1), (128, 64, 16, 1), (100, 50, 10, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85af1230a8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 2, 8, 8), (4, 2, 2, 3), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 175, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85c7344c90>, Scalar(float32)]
- Inputs shapes: [(2, 4, 2, 3), (3, 2, 4, 8), (3, 4, 5, 10), 'No shapes', ()]
- Inputs strides: [(24, 6, 3, 1), (128, 64, 16, 1), (200, 50, 10, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85c7479328>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 2, 2, 2), (1, 2, 1, 1), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 176, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, True, True)), CudaNdarrayType(float32, (True, False, True, True)), CudaNdarrayType(float32, (True, True, True, True)), <theano.gof.type.CDataType object at 0x7f85c7344c90>, Scalar(float32)]
- Inputs shapes: [(2, 1, 1, 1), (1, 2, 1, 1), (1, 1, 1, 1), 'No shapes', ()]
- Inputs strides: [(1, 0, 0, 0), (0, 4, 0, 0), (0, 0, 0, 0), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85d3c1caf0>, <CudaNdarray object at 0x7f85a93dc9b0>, <CudaNdarray object at 0x7f85d3c1c630>, <PyCObject object at 0x7f85c74791c0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 2, 2, 2), (1, 2, 1, 1), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 180, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, True, True)), CudaNdarrayType(float32, (False, False, True, True)), CudaNdarrayType(float32, (False, True, True, True)), <theano.gof.type.CDataType object at 0x7f85ddad1fd0>, Scalar(float32)]
- Inputs shapes: [(2, 1, 1, 1), (3, 2, 1, 1), (3, 1, 1, 1), 'No shapes', ()]
- Inputs strides: [(1, 0, 0, 0), (8, 4, 0, 0), (1, 0, 0, 0), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85af3779b0>, 'not shown', <CudaNdarray object at 0x7f85af377170>, <PyCObject object at 0x7f85e6c5ce40>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 2, 2, 2), (2, 2, 1, 1), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 181, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, False, True, True)), CudaNdarrayType(float32, (True, False, True, True)), CudaNdarrayType(float32, (True, False, True, True)), <theano.gof.type.CDataType object at 0x7f85dee0d990>, Scalar(float32)]
- Inputs shapes: [(2, 2, 1, 1), (1, 2, 1, 1), (1, 2, 1, 1), 'No shapes', ()]
- Inputs strides: [(2, 1, 0, 0), (0, 4, 0, 0), (0, 1, 0, 0), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85af377d30>, <CudaNdarray object at 0x7f85c748b4b0>, <CudaNdarray object at 0x7f85af377a70>, <PyCObject object at 0x7f85e6c5ceb8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((2, 2, 2, 2), (2, 2, 1, 1), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 182, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, False, True, True)), CudaNdarrayType(float32, (False, False, True, True)), CudaNdarrayType(float32, (False, False, True, True)), <theano.gof.type.CDataType object at 0x7f85af40dad0>, Scalar(float32)]
- Inputs shapes: [(2, 2, 1, 1), (2, 2, 1, 1), (2, 2, 1, 1), 'No shapes', ()]
- Inputs strides: [(2, 1, 0, 0), (8, 4, 0, 0), (2, 1, 0, 0), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85af40d8f0>, <CudaNdarray object at 0x7f85deba9230>, <CudaNdarray object at 0x7f85af40dcf0>, <PyCObject object at 0x7f85e6c5cda0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 2, 2, 2), (4, 2, 1, 1), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 183, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, False, True, True)), CudaNdarrayType(float32, (False, False, True, True)), CudaNdarrayType(float32, (False, False, True, True)), <theano.gof.type.CDataType object at 0x7f85abcca490>, Scalar(float32)]
- Inputs shapes: [(2, 4, 1, 1), (3, 2, 1, 1), (3, 4, 1, 1), 'No shapes', ()]
- Inputs strides: [(4, 1, 0, 0), (8, 4, 0, 0), (4, 1, 0, 0), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85e6c5ce40>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 2, 4, 4), (1, 2, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 184, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), <theano.gof.type.CDataType object at 0x7f85af377090>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (1, 2, 2, 2), (1, 1, 3, 3), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (0, 16, 8, 2), (0, 0, 3, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85e6c5c5a8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 1, 4, 4), (1, 1, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 185, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85dbddca50>, Scalar(float32)]
- Inputs shapes: [(1, 1, 2, 2), (3, 1, 2, 2), (3, 1, 3, 3), 'No shapes', ()]
- Inputs strides: [(0, 0, 2, 1), (16, 0, 8, 2), (9, 0, 3, 1), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85dee24e30>, 'not shown', 'not shown', <PyCObject object at 0x7f85e6c5c0a8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 1, 4, 4), (2, 1, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 186, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85dcd7b3d0>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (1, 1, 2, 2), (1, 2, 3, 3), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (0, 0, 8, 2), (0, 9, 3, 1), 'No strides', ()]
- Inputs values: ['not shown', <CudaNdarray object at 0x7f85af28bd30>, 'not shown', <PyCObject object at 0x7f85e6572b70>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 1, 4, 4), (2, 1, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 187, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85c74fe1d0>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (3, 1, 2, 2), (3, 2, 3, 3), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (16, 0, 8, 2), (18, 9, 3, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85e6572698>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 2, 4, 4), (1, 2, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 188, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85c9011990>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (3, 2, 2, 2), (3, 1, 3, 3), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (32, 16, 8, 2), (9, 0, 3, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85e6572198>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 2, 4, 4), (2, 2, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 189, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85deeaa050>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (1, 2, 2, 2), (1, 2, 3, 3), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (0, 16, 8, 2), (0, 9, 3, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85deb9ec60>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((2, 2, 4, 4), (2, 2, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 190, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85af310150>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (2, 2, 2, 2), (2, 2, 3, 3), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (32, 16, 8, 2), (18, 9, 3, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85deb9e788>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 2, 4, 4), (4, 2, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 191, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85e06ec590>, Scalar(float32)]
- Inputs shapes: [(2, 4, 2, 2), (3, 2, 2, 2), (3, 4, 3, 3), 'No shapes', ()]
- Inputs strides: [(16, 4, 2, 1), (32, 16, 8, 2), (36, 9, 3, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85deb9e288>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 2, 6, 6), (1, 2, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 192, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), <theano.gof.type.CDataType object at 0x7f85d9434ad0>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (1, 2, 3, 3), (1, 1, 4, 4), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (0, 36, 12, 2), (0, 0, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dcd3b558>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 1, 6, 6), (1, 1, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 193, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85d37bfad0>, Scalar(float32)]
- Inputs shapes: [(1, 1, 2, 2), (3, 1, 3, 3), (3, 1, 4, 4), 'No shapes', ()]
- Inputs strides: [(0, 0, 2, 1), (36, 0, 12, 2), (16, 0, 4, 1), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85c737a470>, 'not shown', 'not shown', <PyCObject object at 0x7f85dcd3b940>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 1, 6, 6), (2, 1, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 194, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85dedf6a90>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (1, 1, 3, 3), (1, 2, 4, 4), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (0, 0, 12, 2), (0, 16, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dcd3b6e8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 1, 6, 6), (2, 1, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 195, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85c74745d0>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (3, 1, 3, 3), (3, 2, 4, 4), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (36, 0, 12, 2), (32, 16, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85c5a5feb8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 2, 6, 6), (1, 2, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 196, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85e07b31d0>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (3, 2, 3, 3), (3, 1, 4, 4), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (72, 36, 12, 2), (16, 0, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85c5a5fb20>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 2, 6, 6), (2, 2, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 197, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85c901e210>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (1, 2, 3, 3), (1, 2, 4, 4), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (0, 36, 12, 2), (0, 16, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85c5a5f8a0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((2, 2, 6, 6), (2, 2, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 198, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85e6c01c50>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (2, 2, 3, 3), (2, 2, 4, 4), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (72, 36, 12, 2), (32, 16, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85c5a5fb48>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 2, 6, 6), (4, 2, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 199, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85d3c3bfd0>, Scalar(float32)]
- Inputs shapes: [(2, 4, 2, 2), (3, 2, 3, 3), (3, 4, 4, 4), 'No shapes', ()]
- Inputs strides: [(16, 4, 2, 1), (72, 36, 12, 2), (64, 16, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a973a4e0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 2, 8, 6), (1, 2, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 200, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), <theano.gof.type.CDataType object at 0x7f85dcfcda10>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (1, 2, 4, 3), (1, 1, 5, 4), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (0, 48, 12, 2), (0, 0, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a973a3c8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 1, 8, 6), (1, 1, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 201, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85af3108d0>, Scalar(float32)]
- Inputs shapes: [(1, 1, 2, 2), (3, 1, 4, 3), (3, 1, 5, 4), 'No shapes', ()]
- Inputs strides: [(0, 0, 2, 1), (48, 0, 12, 2), (20, 0, 4, 1), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85d93f1830>, 'not shown', 'not shown', <PyCObject object at 0x7f85a973a210>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 1, 8, 6), (2, 1, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 202, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85dd049810>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (1, 1, 4, 3), (1, 2, 5, 4), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (0, 0, 12, 2), (0, 20, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a973a9e0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 1, 8, 6), (2, 1, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 203, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85af399810>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (3, 1, 4, 3), (3, 2, 5, 4), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (48, 0, 12, 2), (40, 20, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a973a0d0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 2, 8, 6), (1, 2, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 204, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85c72f2610>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (3, 2, 4, 3), (3, 1, 5, 4), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (96, 48, 12, 2), (20, 0, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a94334e0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 2, 8, 6), (2, 2, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 205, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85df3c81d0>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (1, 2, 4, 3), (1, 2, 5, 4), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (0, 48, 12, 2), (0, 20, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a9433648>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((2, 2, 8, 6), (2, 2, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 206, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85e06ece10>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (2, 2, 4, 3), (2, 2, 5, 4), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (96, 48, 12, 2), (40, 20, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a94332d8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 2, 8, 6), (4, 2, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 207, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85d8917d90>, Scalar(float32)]
- Inputs shapes: [(2, 4, 2, 2), (3, 2, 4, 3), (3, 4, 5, 4), 'No shapes', ()]
- Inputs strides: [(16, 4, 2, 1), (96, 48, 12, 2), (80, 20, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a9433f30>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 2, 6, 8), (1, 2, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 208, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), <theano.gof.type.CDataType object at 0x7f85c75ccf50>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (1, 2, 3, 4), (1, 1, 4, 5), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (0, 48, 16, 2), (0, 0, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dbdf1670>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 1, 6, 8), (1, 1, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 209, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85d3c1c7d0>, Scalar(float32)]
- Inputs shapes: [(1, 1, 2, 2), (3, 1, 3, 4), (3, 1, 4, 5), 'No shapes', ()]
- Inputs strides: [(0, 0, 2, 1), (48, 0, 16, 2), (20, 0, 5, 1), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85af10d0b0>, 'not shown', 'not shown', <PyCObject object at 0x7f85dbdf19b8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 1, 6, 8), (2, 1, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 210, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85d37bf410>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (1, 1, 3, 4), (1, 2, 4, 5), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (0, 0, 16, 2), (0, 20, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dbdf1af8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 1, 6, 8), (2, 1, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 211, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85df37e3d0>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (3, 1, 3, 4), (3, 2, 4, 5), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (48, 0, 16, 2), (40, 20, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dbdf1cd8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 2, 6, 8), (1, 2, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 212, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85a94217d0>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (3, 2, 3, 4), (3, 1, 4, 5), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (96, 48, 16, 2), (20, 0, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a9614760>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 2, 6, 8), (2, 2, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 213, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85e072add0>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (1, 2, 3, 4), (1, 2, 4, 5), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (0, 48, 16, 2), (0, 20, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a9614cd8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((2, 2, 6, 8), (2, 2, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 214, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85dbbb24d0>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (2, 2, 3, 4), (2, 2, 4, 5), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (96, 48, 16, 2), (40, 20, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a9614da0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 2, 6, 8), (4, 2, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 215, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85dee4f0d0>, Scalar(float32)]
- Inputs shapes: [(2, 4, 2, 2), (3, 2, 3, 4), (3, 4, 4, 5), 'No shapes', ()]
- Inputs strides: [(16, 4, 2, 1), (96, 48, 16, 2), (80, 20, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a96143c8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 2, 8, 8), (1, 2, 3, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 216, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), <theano.gof.type.CDataType object at 0x7f85ac74b590>, Scalar(float32)]
- Inputs shapes: [(2, 1, 3, 2), (1, 2, 4, 4), (1, 1, 6, 5), 'No shapes', ()]
- Inputs strides: [(6, 0, 2, 1), (0, 64, 16, 2), (0, 0, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ddae4b98>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 1, 8, 8), (1, 1, 3, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 217, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85af2e4c90>, Scalar(float32)]
- Inputs shapes: [(1, 1, 3, 2), (3, 1, 4, 4), (3, 1, 6, 5), 'No shapes', ()]
- Inputs strides: [(0, 0, 2, 1), (64, 0, 16, 2), (30, 0, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ddae4918>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 1, 8, 8), (2, 1, 3, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 218, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85a91bde50>, Scalar(float32)]
- Inputs shapes: [(1, 2, 3, 2), (1, 1, 4, 4), (1, 2, 6, 5), 'No shapes', ()]
- Inputs strides: [(0, 6, 2, 1), (0, 0, 16, 2), (0, 30, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ddae4670>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 1, 8, 8), (2, 1, 3, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 219, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85ab6999d0>, Scalar(float32)]
- Inputs shapes: [(1, 2, 3, 2), (3, 1, 4, 4), (3, 2, 6, 5), 'No shapes', ()]
- Inputs strides: [(0, 6, 2, 1), (64, 0, 16, 2), (60, 30, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dee12620>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 2, 8, 8), (1, 2, 3, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 220, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85c7361e50>, Scalar(float32)]
- Inputs shapes: [(2, 1, 3, 2), (3, 2, 4, 4), (3, 1, 6, 5), 'No shapes', ()]
- Inputs strides: [(6, 0, 2, 1), (128, 64, 16, 2), (30, 0, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dee124b8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 2, 8, 8), (2, 2, 3, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 221, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85af292d50>, Scalar(float32)]
- Inputs shapes: [(2, 2, 3, 2), (1, 2, 4, 4), (1, 2, 6, 5), 'No shapes', ()]
- Inputs strides: [(12, 6, 2, 1), (0, 64, 16, 2), (0, 30, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ac1b01e8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((2, 2, 8, 8), (2, 2, 3, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 222, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85c5a20350>, Scalar(float32)]
- Inputs shapes: [(2, 2, 3, 2), (2, 2, 4, 4), (2, 2, 6, 5), 'No shapes', ()]
- Inputs strides: [(12, 6, 2, 1), (128, 64, 16, 2), (60, 30, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ac1b0648>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 2, 8, 8), (4, 2, 3, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 223, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85ac5ab790>, Scalar(float32)]
- Inputs shapes: [(2, 4, 3, 2), (3, 2, 4, 4), (3, 4, 6, 5), 'No shapes', ()]
- Inputs strides: [(24, 6, 2, 1), (128, 64, 16, 2), (120, 30, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ac1b0968>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 2, 8, 8), (1, 2, 2, 3), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 224, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), <theano.gof.type.CDataType object at 0x7f85ddb4bc10>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 3), (1, 2, 4, 4), (1, 1, 5, 6), 'No shapes', ()]
- Inputs strides: [(6, 0, 3, 1), (0, 64, 16, 2), (0, 0, 6, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ac1b00f8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 1, 8, 8), (1, 1, 2, 3), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 225, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85c75cc850>, Scalar(float32)]
- Inputs shapes: [(1, 1, 2, 3), (3, 1, 4, 4), (3, 1, 5, 6), 'No shapes', ()]
- Inputs strides: [(0, 0, 3, 1), (64, 0, 16, 2), (30, 0, 6, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dcd223a0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 1, 8, 8), (2, 1, 2, 3), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 226, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85e0786d90>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 3), (1, 1, 4, 4), (1, 2, 5, 6), 'No shapes', ()]
- Inputs strides: [(0, 6, 3, 1), (0, 0, 16, 2), (0, 30, 6, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dc2bf058>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 1, 8, 8), (2, 1, 2, 3), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 227, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85ac74b250>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 3), (3, 1, 4, 4), (3, 2, 5, 6), 'No shapes', ()]
- Inputs strides: [(0, 6, 3, 1), (64, 0, 16, 2), (60, 30, 6, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dcd04300>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 2, 8, 8), (1, 2, 2, 3), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 228, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85ac59d7d0>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 3), (3, 2, 4, 4), (3, 1, 5, 6), 'No shapes', ()]
- Inputs strides: [(6, 0, 3, 1), (128, 64, 16, 2), (30, 0, 6, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dcd04580>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((1, 2, 8, 8), (2, 2, 2, 3), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 229, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85c75114d0>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 3), (1, 2, 4, 4), (1, 2, 5, 6), 'No shapes', ()]
- Inputs strides: [(12, 6, 3, 1), (0, 64, 16, 2), (0, 30, 6, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dcd04800>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((2, 2, 8, 8), (2, 2, 2, 3), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 230, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85af22cf10>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 3), (2, 2, 4, 4), (2, 2, 5, 6), 'No shapes', ()]
- Inputs strides: [(12, 6, 3, 1), (128, 64, 16, 2), (60, 30, 6, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dcd04aa8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_full((3, 2, 8, 8), (4, 2, 2, 3), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 231, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85f61fda10>, None)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85aa602510>, Scalar(float32)]
- Inputs shapes: [(2, 4, 2, 3), (3, 2, 4, 4), (3, 4, 5, 6), 'No shapes', ()]
- Inputs strides: [(24, 6, 3, 1), (128, 64, 16, 2), (120, 30, 6, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dcd04d28>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 2, 2, 2), (1, 2, 1, 1), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 64, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, True, True)), CudaNdarrayType(float32, (True, False, False, True)), CudaNdarrayType(float32, (True, True, False, True)), <theano.gof.type.CDataType object at 0x7f85af2a04d0>, Scalar(float32)]
- Inputs shapes: [(2, 1, 1, 1), (1, 2, 2, 1), (1, 1, 2, 1), 'No shapes', ()]
- Inputs strides: [(1, 0, 0, 0), (0, 4, 2, 0), (0, 0, 1, 0), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85af45e930>, <CudaNdarray object at 0x7f85aa114d30>, <CudaNdarray object at 0x7f85d3c0f7b0>, <PyCObject object at 0x7f85a9614ad0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 1, 2, 2), (1, 1, 1, 1), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 65, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, True, True, True)), CudaNdarrayType(float32, (False, True, False, True)), CudaNdarrayType(float32, (False, True, False, True)), <theano.gof.type.CDataType object at 0x7f85c5a27ed0>, Scalar(float32)]
- Inputs shapes: [(1, 1, 1, 1), (3, 1, 2, 1), (3, 1, 2, 1), 'No shapes', ()]
- Inputs strides: [(0, 0, 0, 0), (4, 0, 2, 0), (2, 0, 1, 0), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85dc2913f0>, 'not shown', 'not shown', <PyCObject object at 0x7f85a96148f0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 1, 2, 2), (2, 1, 1, 1), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 66, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, True, True)), CudaNdarrayType(float32, (True, True, False, True)), CudaNdarrayType(float32, (True, False, False, True)), <theano.gof.type.CDataType object at 0x7f85ac70aa10>, Scalar(float32)]
- Inputs shapes: [(1, 2, 1, 1), (1, 1, 2, 1), (1, 2, 2, 1), 'No shapes', ()]
- Inputs strides: [(0, 1, 0, 0), (0, 0, 2, 0), (0, 2, 1, 0), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85d8955770>, <CudaNdarray object at 0x7f85dc2913f0>, <CudaNdarray object at 0x7f85d8955730>, <PyCObject object at 0x7f85a9614878>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 1, 2, 2), (2, 1, 1, 1), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 67, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, True, True)), CudaNdarrayType(float32, (False, True, False, True)), CudaNdarrayType(float32, (False, False, False, True)), <theano.gof.type.CDataType object at 0x7f85e06b5690>, Scalar(float32)]
- Inputs shapes: [(1, 2, 1, 1), (3, 1, 2, 1), (3, 2, 2, 1), 'No shapes', ()]
- Inputs strides: [(0, 1, 0, 0), (4, 0, 2, 0), (4, 2, 1, 0), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85dedf6370>, 'not shown', 'not shown', <PyCObject object at 0x7f85a94330f8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 2, 2, 2), (1, 2, 1, 1), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 68, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, True, True)), CudaNdarrayType(float32, (False, False, False, True)), CudaNdarrayType(float32, (False, True, False, True)), <theano.gof.type.CDataType object at 0x7f85af2a05d0>, Scalar(float32)]
- Inputs shapes: [(2, 1, 1, 1), (3, 2, 2, 1), (3, 1, 2, 1), 'No shapes', ()]
- Inputs strides: [(1, 0, 0, 0), (8, 4, 2, 0), (2, 0, 1, 0), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85dedf61f0>, 'not shown', 'not shown', <PyCObject object at 0x7f85a94333a0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 2, 2, 2), (2, 2, 1, 1), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 69, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, False, True, True)), CudaNdarrayType(float32, (True, False, False, True)), CudaNdarrayType(float32, (True, False, False, True)), <theano.gof.type.CDataType object at 0x7f85a9ef4810>, Scalar(float32)]
- Inputs shapes: [(2, 2, 1, 1), (1, 2, 2, 1), (1, 2, 2, 1), 'No shapes', ()]
- Inputs strides: [(2, 1, 0, 0), (0, 4, 2, 0), (0, 2, 1, 0), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85dedf6ab0>, <CudaNdarray object at 0x7f85e0713930>, <CudaNdarray object at 0x7f85dedf6770>, <PyCObject object at 0x7f85a94337b0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((2, 2, 2, 2), (2, 2, 1, 1), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 70, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, False, True, True)), CudaNdarrayType(float32, (False, False, False, True)), CudaNdarrayType(float32, (False, False, False, True)), <theano.gof.type.CDataType object at 0x7f85dd01bbd0>, Scalar(float32)]
- Inputs shapes: [(2, 2, 1, 1), (2, 2, 2, 1), (2, 2, 2, 1), 'No shapes', ()]
- Inputs strides: [(2, 1, 0, 0), (8, 4, 2, 0), (4, 2, 1, 0), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85c748bcf0>, 'not shown', 'not shown', <PyCObject object at 0x7f85a9433940>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 2, 2, 2), (4, 2, 1, 1), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 71, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, False, True, True)), CudaNdarrayType(float32, (False, False, False, True)), CudaNdarrayType(float32, (False, False, False, True)), <theano.gof.type.CDataType object at 0x7f85ac59d890>, Scalar(float32)]
- Inputs shapes: [(2, 4, 1, 1), (3, 2, 2, 1), (3, 4, 2, 1), 'No shapes', ()]
- Inputs strides: [(4, 1, 0, 0), (8, 4, 2, 0), (8, 2, 1, 0), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a9433698>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 2, 4, 4), (1, 2, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 72, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), <theano.gof.type.CDataType object at 0x7f85df0f30d0>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (1, 2, 4, 2), (1, 1, 5, 3), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (0, 16, 4, 2), (0, 0, 3, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85d96d7c88>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 1, 4, 4), (1, 1, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 73, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85abd28c90>, Scalar(float32)]
- Inputs shapes: [(1, 1, 2, 2), (3, 1, 4, 2), (3, 1, 5, 3), 'No shapes', ()]
- Inputs strides: [(0, 0, 2, 1), (16, 0, 4, 2), (15, 0, 3, 1), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85e72823b0>, 'not shown', 'not shown', <PyCObject object at 0x7f85d96d77d8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 1, 4, 4), (2, 1, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 74, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85c7422990>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (1, 1, 4, 2), (1, 2, 5, 3), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (0, 0, 4, 2), (0, 15, 3, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85d96d7378>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 1, 4, 4), (2, 1, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 75, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85abcca4d0>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (3, 1, 4, 2), (3, 2, 5, 3), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (16, 0, 4, 2), (30, 15, 3, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85e07cd120>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 2, 4, 4), (1, 2, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 76, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85d946b110>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (3, 2, 4, 2), (3, 1, 5, 3), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (32, 16, 4, 2), (15, 0, 3, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85d96e03a0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 2, 4, 4), (2, 2, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 77, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85d941d310>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (1, 2, 4, 2), (1, 2, 5, 3), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (0, 16, 4, 2), (0, 15, 3, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85d96e0620>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((2, 2, 4, 4), (2, 2, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 78, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85c73fbed0>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (2, 2, 4, 2), (2, 2, 5, 3), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (32, 16, 4, 2), (30, 15, 3, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85d96e08c8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 2, 4, 4), (4, 2, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 79, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85dee8d650>, Scalar(float32)]
- Inputs shapes: [(2, 4, 2, 2), (3, 2, 4, 2), (3, 4, 5, 3), 'No shapes', ()]
- Inputs strides: [(16, 4, 2, 1), (32, 16, 4, 2), (60, 15, 3, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85d96e0b48>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 2, 6, 6), (1, 2, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 80, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), <theano.gof.type.CDataType object at 0x7f85ddb1a5d0>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (1, 2, 6, 3), (1, 1, 7, 4), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (0, 36, 6, 2), (0, 0, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85d96e0d78>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 1, 6, 6), (1, 1, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 81, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85d9443350>, Scalar(float32)]
- Inputs shapes: [(1, 1, 2, 2), (3, 1, 6, 3), (3, 1, 7, 4), 'No shapes', ()]
- Inputs strides: [(0, 0, 2, 1), (36, 0, 6, 2), (28, 0, 4, 1), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85dcfcdeb0>, 'not shown', 'not shown', <PyCObject object at 0x7f85dee3b030>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 1, 6, 6), (2, 1, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 82, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85e0743210>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (1, 1, 6, 3), (1, 2, 7, 4), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (0, 0, 6, 2), (0, 28, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dbdc02b0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 1, 6, 6), (2, 1, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 83, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85c7498690>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (3, 1, 6, 3), (3, 2, 7, 4), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (36, 0, 6, 2), (56, 28, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dbdc0558>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 2, 6, 6), (1, 2, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 84, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85d96d2190>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (3, 2, 6, 3), (3, 1, 7, 4), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (72, 36, 6, 2), (28, 0, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dbdc07d8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 2, 6, 6), (2, 2, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 85, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85d8959cd0>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (1, 2, 6, 3), (1, 2, 7, 4), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (0, 36, 6, 2), (0, 28, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dbdc0a58>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((2, 2, 6, 6), (2, 2, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 86, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85a91bdb50>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (2, 2, 6, 3), (2, 2, 7, 4), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (72, 36, 6, 2), (56, 28, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dbdc0d00>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 2, 6, 6), (4, 2, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 87, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85c73274d0>, Scalar(float32)]
- Inputs shapes: [(2, 4, 2, 2), (3, 2, 6, 3), (3, 4, 7, 4), 'No shapes', ()]
- Inputs strides: [(16, 4, 2, 1), (72, 36, 6, 2), (112, 28, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dbdc0f80>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 2, 8, 6), (1, 2, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 88, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), <theano.gof.type.CDataType object at 0x7f85a93dc250>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (1, 2, 8, 3), (1, 1, 9, 4), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (0, 48, 6, 2), (0, 0, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85e65551e8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 1, 8, 6), (1, 1, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 89, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85c73b2990>, Scalar(float32)]
- Inputs shapes: [(1, 1, 2, 2), (3, 1, 8, 3), (3, 1, 9, 4), 'No shapes', ()]
- Inputs strides: [(0, 0, 2, 1), (48, 0, 6, 2), (36, 0, 4, 1), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85dee246f0>, 'not shown', 'not shown', <PyCObject object at 0x7f85dee86468>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 1, 8, 6), (2, 1, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 90, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85af400710>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (1, 1, 8, 3), (1, 2, 9, 4), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (0, 0, 6, 2), (0, 36, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dee866e8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 1, 8, 6), (2, 1, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 91, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85aa829150>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (3, 1, 8, 3), (3, 2, 9, 4), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (48, 0, 6, 2), (72, 36, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dee86990>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 2, 8, 6), (1, 2, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 92, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85af22c9d0>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (3, 2, 8, 3), (3, 1, 9, 4), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (96, 48, 6, 2), (36, 0, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dee86c10>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 2, 8, 6), (2, 2, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 93, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85e07b3890>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (1, 2, 8, 3), (1, 2, 9, 4), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (0, 48, 6, 2), (0, 36, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dee86e90>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((2, 2, 8, 6), (2, 2, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 94, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85d8997a90>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (2, 2, 8, 3), (2, 2, 9, 4), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (96, 48, 6, 2), (72, 36, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ac194170>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 2, 8, 6), (4, 2, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 95, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85af2bfe50>, Scalar(float32)]
- Inputs shapes: [(2, 4, 2, 2), (3, 2, 8, 3), (3, 4, 9, 4), 'No shapes', ()]
- Inputs strides: [(16, 4, 2, 1), (96, 48, 6, 2), (144, 36, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ac6fe3f0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 2, 6, 8), (1, 2, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 96, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), <theano.gof.type.CDataType object at 0x7f85ac1575d0>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (1, 2, 6, 4), (1, 1, 7, 5), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (0, 48, 8, 2), (0, 0, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ac6fe620>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 1, 6, 8), (1, 1, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 97, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85dc286310>, Scalar(float32)]
- Inputs shapes: [(1, 1, 2, 2), (3, 1, 6, 4), (3, 1, 7, 5), 'No shapes', ()]
- Inputs strides: [(0, 0, 2, 1), (48, 0, 8, 2), (35, 0, 5, 1), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85af338bf0>, 'not shown', 'not shown', <PyCObject object at 0x7f85ac6fe8a0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 1, 6, 8), (2, 1, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 98, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85aa5e9d10>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (1, 1, 6, 4), (1, 2, 7, 5), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (0, 0, 8, 2), (0, 35, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ac6feb20>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 1, 6, 8), (2, 1, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 99, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85e07b3110>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (3, 1, 6, 4), (3, 2, 7, 5), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (48, 0, 8, 2), (70, 35, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ac6fedc8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 2, 6, 8), (1, 2, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 100, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85c73398d0>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (3, 2, 6, 4), (3, 1, 7, 5), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (96, 48, 8, 2), (35, 0, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85aa5d8080>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 2, 6, 8), (2, 2, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 101, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85c7511cd0>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (1, 2, 6, 4), (1, 2, 7, 5), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (0, 48, 8, 2), (0, 35, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ac171300>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((2, 2, 6, 8), (2, 2, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 102, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85abcdc0d0>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (2, 2, 6, 4), (2, 2, 7, 5), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (96, 48, 8, 2), (70, 35, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ac6fe620>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 2, 6, 8), (4, 2, 2, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 103, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85af338550>, Scalar(float32)]
- Inputs shapes: [(2, 4, 2, 2), (3, 2, 6, 4), (3, 4, 7, 5), 'No shapes', ()]
- Inputs strides: [(16, 4, 2, 1), (96, 48, 8, 2), (140, 35, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ac6fe0f8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 2, 8, 8), (1, 2, 3, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 104, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), <theano.gof.type.CDataType object at 0x7f85aa5e9a50>, Scalar(float32)]
- Inputs shapes: [(2, 1, 3, 2), (1, 2, 8, 4), (1, 1, 10, 5), 'No shapes', ()]
- Inputs strides: [(6, 0, 2, 1), (0, 64, 8, 2), (0, 0, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dee86b70>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 1, 8, 8), (1, 1, 3, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 105, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85dcd710d0>, Scalar(float32)]
- Inputs shapes: [(1, 1, 3, 2), (3, 1, 8, 4), (3, 1, 10, 5), 'No shapes', ()]
- Inputs strides: [(0, 0, 2, 1), (64, 0, 8, 2), (50, 0, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dee86670>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 1, 8, 8), (2, 1, 3, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 106, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85d8901410>, Scalar(float32)]
- Inputs shapes: [(1, 2, 3, 2), (1, 1, 8, 4), (1, 2, 10, 5), 'No shapes', ()]
- Inputs strides: [(0, 6, 2, 1), (0, 0, 8, 2), (0, 50, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dee86170>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 1, 8, 8), (2, 1, 3, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 107, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85d9697210>, Scalar(float32)]
- Inputs shapes: [(1, 2, 3, 2), (3, 1, 8, 4), (3, 2, 10, 5), 'No shapes', ()]
- Inputs strides: [(0, 6, 2, 1), (64, 0, 8, 2), (100, 50, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dbdc0c60>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 2, 8, 8), (1, 2, 3, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 108, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85ab6a5d10>, Scalar(float32)]
- Inputs shapes: [(2, 1, 3, 2), (3, 2, 8, 4), (3, 1, 10, 5), 'No shapes', ()]
- Inputs strides: [(6, 0, 2, 1), (128, 64, 8, 2), (50, 0, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dbdc0760>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 2, 8, 8), (2, 2, 3, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 109, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85af111550>, Scalar(float32)]
- Inputs shapes: [(2, 2, 3, 2), (1, 2, 8, 4), (1, 2, 10, 5), 'No shapes', ()]
- Inputs strides: [(12, 6, 2, 1), (0, 64, 8, 2), (0, 50, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dbdc0260>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((2, 2, 8, 8), (2, 2, 3, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 110, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85dbdfa410>, Scalar(float32)]
- Inputs shapes: [(2, 2, 3, 2), (2, 2, 8, 4), (2, 2, 10, 5), 'No shapes', ()]
- Inputs strides: [(12, 6, 2, 1), (128, 64, 8, 2), (100, 50, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85d96e0d78>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 2, 8, 8), (4, 2, 3, 2), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 111, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85c73dd9d0>, Scalar(float32)]
- Inputs shapes: [(2, 4, 3, 2), (3, 2, 8, 4), (3, 4, 10, 5), 'No shapes', ()]
- Inputs strides: [(24, 6, 2, 1), (128, 64, 8, 2), (200, 50, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85d96e0850>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 2, 8, 8), (1, 2, 2, 3), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 112, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), <theano.gof.type.CDataType object at 0x7f85ac1630d0>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 3), (1, 2, 8, 4), (1, 1, 9, 6), 'No shapes', ()]
- Inputs strides: [(6, 0, 3, 1), (0, 64, 8, 2), (0, 0, 6, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85d96e0300>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 1, 8, 8), (1, 1, 2, 3), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 113, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85e0728f50>, Scalar(float32)]
- Inputs shapes: [(1, 1, 2, 3), (3, 1, 8, 4), (3, 1, 9, 6), 'No shapes', ()]
- Inputs strides: [(0, 0, 3, 1), (64, 0, 8, 2), (54, 0, 6, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dcd22fd0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 1, 8, 8), (2, 1, 2, 3), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 114, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85ac1638d0>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 3), (1, 1, 8, 4), (1, 2, 9, 6), 'No shapes', ()]
- Inputs strides: [(0, 6, 3, 1), (0, 0, 8, 2), (0, 54, 6, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85d96d76e8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 1, 8, 8), (2, 1, 2, 3), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 115, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85ab69be10>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 3), (3, 1, 8, 4), (3, 2, 9, 6), 'No shapes', ()]
- Inputs strides: [(0, 6, 3, 1), (64, 0, 8, 2), (108, 54, 6, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85d96d79e0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 2, 8, 8), (1, 2, 2, 3), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 116, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85c743a6d0>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 3), (3, 2, 8, 4), (3, 1, 9, 6), 'No shapes', ()]
- Inputs strides: [(6, 0, 3, 1), (128, 64, 8, 2), (54, 0, 6, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85d96d7670>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 2, 8, 8), (2, 2, 2, 3), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 117, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85dc2a9550>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 3), (1, 2, 8, 4), (1, 2, 9, 6), 'No shapes', ()]
- Inputs strides: [(12, 6, 3, 1), (0, 64, 8, 2), (0, 54, 6, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85d96d7170>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((2, 2, 8, 8), (2, 2, 2, 3), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 118, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85deea8ed0>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 3), (2, 2, 8, 4), (2, 2, 9, 6), 'No shapes', ()]
- Inputs strides: [(12, 6, 3, 1), (128, 64, 8, 2), (108, 54, 6, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85df329850>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 2, 8, 8), (4, 2, 2, 3), 'full', (1, 1), (1, 2), (1, 1), -1, 0, True, None, 119, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85c5a4fd10>, Scalar(float32)]
- Inputs shapes: [(2, 4, 2, 3), (3, 2, 8, 4), (3, 4, 9, 6), 'No shapes', ()]
- Inputs strides: [(24, 6, 3, 1), (128, 64, 8, 2), (216, 54, 6, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85df329580>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 2, 2, 2), (1, 2, 1, 1), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 120, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, True, True)), CudaNdarrayType(float32, (True, False, True, False)), CudaNdarrayType(float32, (True, True, True, False)), <theano.gof.type.CDataType object at 0x7f85deea4d10>, Scalar(float32)]
- Inputs shapes: [(2, 1, 1, 1), (1, 2, 1, 2), (1, 1, 1, 2), 'No shapes', ()]
- Inputs strides: [(1, 0, 0, 0), (0, 4, 0, 1), (0, 0, 0, 1), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85dc2c04b0>, <CudaNdarray object at 0x7f85dbb86f30>, <CudaNdarray object at 0x7f85e07d6230>, <PyCObject object at 0x7f85df329530>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 2, 2, 2), (1, 2, 1, 1), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 124, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, True, True)), CudaNdarrayType(float32, (False, False, True, False)), CudaNdarrayType(float32, (False, True, True, False)), <theano.gof.type.CDataType object at 0x7f85abcca950>, Scalar(float32)]
- Inputs shapes: [(2, 1, 1, 1), (3, 2, 1, 2), (3, 1, 1, 2), 'No shapes', ()]
- Inputs strides: [(1, 0, 0, 0), (8, 4, 0, 1), (2, 0, 0, 1), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85ddb65b70>, 'not shown', 'not shown', <PyCObject object at 0x7f85df3295f8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 2, 2, 2), (2, 2, 1, 1), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 125, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, False, True, True)), CudaNdarrayType(float32, (True, False, True, False)), CudaNdarrayType(float32, (True, False, True, False)), <theano.gof.type.CDataType object at 0x7f85abd54190>, Scalar(float32)]
- Inputs shapes: [(2, 2, 1, 1), (1, 2, 1, 2), (1, 2, 1, 2), 'No shapes', ()]
- Inputs strides: [(2, 1, 0, 0), (0, 4, 0, 1), (0, 2, 0, 1), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85e6c3fa70>, <CudaNdarray object at 0x7f85ac5ab370>, <CudaNdarray object at 0x7f85e6c3fb70>, <PyCObject object at 0x7f85df329198>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((2, 2, 2, 2), (2, 2, 1, 1), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 126, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, False, True, True)), CudaNdarrayType(float32, (False, False, True, False)), CudaNdarrayType(float32, (False, False, True, False)), <theano.gof.type.CDataType object at 0x7f85dee97810>, Scalar(float32)]
- Inputs shapes: [(2, 2, 1, 1), (2, 2, 1, 2), (2, 2, 1, 2), 'No shapes', ()]
- Inputs strides: [(2, 1, 0, 0), (8, 4, 0, 1), (4, 2, 0, 1), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85d940d9b0>, 'not shown', 'not shown', <PyCObject object at 0x7f85df329080>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 2, 2, 2), (4, 2, 1, 1), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 127, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, False, True, True)), CudaNdarrayType(float32, (False, False, True, False)), CudaNdarrayType(float32, (False, False, True, False)), <theano.gof.type.CDataType object at 0x7f85ac14c210>, Scalar(float32)]
- Inputs shapes: [(2, 4, 1, 1), (3, 2, 1, 2), (3, 4, 1, 2), 'No shapes', ()]
- Inputs strides: [(4, 1, 0, 0), (8, 4, 0, 1), (8, 2, 0, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a973a940>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 2, 4, 4), (1, 2, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 128, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), <theano.gof.type.CDataType object at 0x7f85c749fb10>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (1, 2, 2, 4), (1, 1, 3, 5), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (0, 16, 8, 1), (0, 0, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a973a800>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 1, 4, 4), (1, 1, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 129, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85df34bb50>, Scalar(float32)]
- Inputs shapes: [(1, 1, 2, 2), (3, 1, 2, 4), (3, 1, 3, 5), 'No shapes', ()]
- Inputs strides: [(0, 0, 2, 1), (16, 0, 8, 1), (15, 0, 5, 1), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85ddb2b530>, 'not shown', 'not shown', <PyCObject object at 0x7f85a973a580>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 1, 4, 4), (2, 1, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 130, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85d93f1910>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (1, 1, 2, 4), (1, 2, 3, 5), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (0, 0, 8, 1), (0, 15, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a973aa58>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 1, 4, 4), (2, 1, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 131, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85e7de6dd0>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (3, 1, 2, 4), (3, 2, 3, 5), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (16, 0, 8, 1), (30, 15, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dbdf1850>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 2, 4, 4), (1, 2, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 132, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85dbb87850>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (3, 2, 2, 4), (3, 1, 3, 5), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (32, 16, 8, 1), (15, 0, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dbdf1a08>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 2, 4, 4), (2, 2, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 133, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85d941aed0>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (1, 2, 2, 4), (1, 2, 3, 5), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (0, 16, 8, 1), (0, 15, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dbdf10a8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((2, 2, 4, 4), (2, 2, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 134, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85c73ca090>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (2, 2, 2, 4), (2, 2, 3, 5), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (32, 16, 8, 1), (30, 15, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ddae4328>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 2, 4, 4), (4, 2, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 135, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85aa5ce4d0>, Scalar(float32)]
- Inputs shapes: [(2, 4, 2, 2), (3, 2, 2, 4), (3, 4, 3, 5), 'No shapes', ()]
- Inputs strides: [(16, 4, 2, 1), (32, 16, 8, 1), (60, 15, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ddae4440>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 2, 6, 6), (1, 2, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 136, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), <theano.gof.type.CDataType object at 0x7f85ac368e50>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (1, 2, 3, 6), (1, 1, 4, 7), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (0, 36, 12, 1), (0, 0, 7, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ddae4620>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 1, 6, 6), (1, 1, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 137, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85af334290>, Scalar(float32)]
- Inputs shapes: [(1, 1, 2, 2), (3, 1, 3, 6), (3, 1, 4, 7), 'No shapes', ()]
- Inputs strides: [(0, 0, 2, 1), (36, 0, 12, 1), (28, 0, 7, 1), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85d9676d70>, 'not shown', 'not shown', <PyCObject object at 0x7f85dee121c0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 1, 6, 6), (2, 1, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 138, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85d940d690>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (1, 1, 3, 6), (1, 2, 4, 7), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (0, 0, 12, 1), (0, 28, 7, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dee12440>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 1, 6, 6), (2, 1, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 139, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85a9ef4dd0>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (3, 1, 3, 6), (3, 2, 4, 7), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (36, 0, 12, 1), (56, 28, 7, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a9614170>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 2, 6, 6), (1, 2, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 140, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85e0a3b690>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (3, 2, 3, 6), (3, 1, 4, 7), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (72, 36, 12, 1), (28, 0, 7, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a9614530>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 2, 6, 6), (2, 2, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 141, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85c735f050>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (1, 2, 3, 6), (1, 2, 4, 7), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (0, 36, 12, 1), (0, 28, 7, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a9614210>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((2, 2, 6, 6), (2, 2, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 142, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85dede7250>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (2, 2, 3, 6), (2, 2, 4, 7), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (72, 36, 12, 1), (56, 28, 7, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a9614300>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 2, 6, 6), (4, 2, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 143, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85ac7111d0>, Scalar(float32)]
- Inputs shapes: [(2, 4, 2, 2), (3, 2, 3, 6), (3, 4, 4, 7), 'No shapes', ()]
- Inputs strides: [(16, 4, 2, 1), (72, 36, 12, 1), (112, 28, 7, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a9433080>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 2, 8, 6), (1, 2, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 144, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), <theano.gof.type.CDataType object at 0x7f85a93dcd10>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (1, 2, 4, 6), (1, 1, 5, 7), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (0, 48, 12, 1), (0, 0, 7, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a94332b0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 1, 8, 6), (1, 1, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 145, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85c72f2bd0>, Scalar(float32)]
- Inputs shapes: [(1, 1, 2, 2), (3, 1, 4, 6), (3, 1, 5, 7), 'No shapes', ()]
- Inputs strides: [(0, 0, 2, 1), (48, 0, 12, 1), (35, 0, 7, 1), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85e6c34af0>, 'not shown', 'not shown', <PyCObject object at 0x7f85a9433558>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 1, 8, 6), (2, 1, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 146, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85df0f3d90>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (1, 1, 4, 6), (1, 2, 5, 7), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (0, 0, 12, 1), (0, 35, 7, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a94334e0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 1, 8, 6), (2, 1, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 147, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85af2d55d0>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (3, 1, 4, 6), (3, 2, 5, 7), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (48, 0, 12, 1), (70, 35, 7, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a94335d0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 2, 8, 6), (1, 2, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 148, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85dd01b610>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (3, 2, 4, 6), (3, 1, 5, 7), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (96, 48, 12, 1), (35, 0, 7, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85e7ce2968>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 2, 8, 6), (2, 2, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 149, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85af40d290>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (1, 2, 4, 6), (1, 2, 5, 7), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (0, 48, 12, 1), (0, 35, 7, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85e6c481c0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((2, 2, 8, 6), (2, 2, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 150, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85df5ecc90>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (2, 2, 4, 6), (2, 2, 5, 7), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (96, 48, 12, 1), (70, 35, 7, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ab668468>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 2, 8, 6), (4, 2, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 151, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85af2d5a90>, Scalar(float32)]
- Inputs shapes: [(2, 4, 2, 2), (3, 2, 4, 6), (3, 4, 5, 7), 'No shapes', ()]
- Inputs strides: [(16, 4, 2, 1), (96, 48, 12, 1), (140, 35, 7, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ab6686e8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 2, 6, 8), (1, 2, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 152, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), <theano.gof.type.CDataType object at 0x7f85abfdb8d0>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (1, 2, 3, 8), (1, 1, 4, 9), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (0, 48, 16, 1), (0, 0, 9, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ab668918>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 1, 6, 8), (1, 1, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 153, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85dbb87c10>, Scalar(float32)]
- Inputs shapes: [(1, 1, 2, 2), (3, 1, 3, 8), (3, 1, 4, 9), 'No shapes', ()]
- Inputs strides: [(0, 0, 2, 1), (48, 0, 16, 1), (36, 0, 9, 1), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85ab6a24f0>, 'not shown', 'not shown', <PyCObject object at 0x7f85ac6fed00>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 1, 6, 8), (2, 1, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 154, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85dc2a9950>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (1, 1, 3, 8), (1, 2, 4, 9), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (0, 0, 16, 1), (0, 36, 9, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ac6fe800>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 1, 6, 8), (2, 1, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 155, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85ab69b2d0>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (3, 1, 3, 8), (3, 2, 4, 9), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (48, 0, 16, 1), (72, 36, 9, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ac6fe288>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 2, 6, 8), (1, 2, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 156, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85ddb45250>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (3, 2, 3, 8), (3, 1, 4, 9), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (96, 48, 16, 1), (36, 0, 9, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dee86080>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 2, 6, 8), (2, 2, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 157, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85af244450>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (1, 2, 3, 8), (1, 2, 4, 9), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (0, 48, 16, 1), (0, 36, 9, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dee86af8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((2, 2, 6, 8), (2, 2, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 158, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85abe3a110>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (2, 2, 3, 8), (2, 2, 4, 9), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (96, 48, 16, 1), (72, 36, 9, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dee86d28>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 2, 6, 8), (4, 2, 2, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 159, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85c7424cd0>, Scalar(float32)]
- Inputs shapes: [(2, 4, 2, 2), (3, 2, 3, 8), (3, 4, 4, 9), 'No shapes', ()]
- Inputs strides: [(16, 4, 2, 1), (96, 48, 16, 1), (144, 36, 9, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dee86990>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 2, 8, 8), (1, 2, 3, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 160, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), <theano.gof.type.CDataType object at 0x7f85dee36e10>, Scalar(float32)]
- Inputs shapes: [(2, 1, 3, 2), (1, 2, 4, 8), (1, 1, 6, 9), 'No shapes', ()]
- Inputs strides: [(6, 0, 2, 1), (0, 64, 16, 1), (0, 0, 9, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dee86288>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 1, 8, 8), (1, 1, 3, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 161, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85d967c610>, Scalar(float32)]
- Inputs shapes: [(1, 1, 3, 2), (3, 1, 4, 8), (3, 1, 6, 9), 'No shapes', ()]
- Inputs strides: [(0, 0, 2, 1), (64, 0, 16, 1), (54, 0, 9, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dbdc0648>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 1, 8, 8), (2, 1, 3, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 162, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85ddadfbd0>, Scalar(float32)]
- Inputs shapes: [(1, 2, 3, 2), (1, 1, 4, 8), (1, 2, 6, 9), 'No shapes', ()]
- Inputs strides: [(0, 6, 2, 1), (0, 0, 16, 1), (0, 54, 9, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dbdc0e90>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 1, 8, 8), (2, 1, 3, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 163, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85d88e2f90>, Scalar(float32)]
- Inputs shapes: [(1, 2, 3, 2), (3, 1, 4, 8), (3, 2, 6, 9), 'No shapes', ()]
- Inputs strides: [(0, 6, 2, 1), (64, 0, 16, 1), (108, 54, 9, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dbdc09b8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 2, 8, 8), (1, 2, 3, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 164, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85dcd3ea90>, Scalar(float32)]
- Inputs shapes: [(2, 1, 3, 2), (3, 2, 4, 8), (3, 1, 6, 9), 'No shapes', ()]
- Inputs strides: [(6, 0, 2, 1), (128, 64, 16, 1), (54, 0, 9, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dbdc0418>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 2, 8, 8), (2, 2, 3, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 165, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85a99b4d90>, Scalar(float32)]
- Inputs shapes: [(2, 2, 3, 2), (1, 2, 4, 8), (1, 2, 6, 9), 'No shapes', ()]
- Inputs strides: [(12, 6, 2, 1), (0, 64, 16, 1), (0, 54, 9, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85d96e0120>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((2, 2, 8, 8), (2, 2, 3, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 166, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85d9469f90>, Scalar(float32)]
- Inputs shapes: [(2, 2, 3, 2), (2, 2, 4, 8), (2, 2, 6, 9), 'No shapes', ()]
- Inputs strides: [(12, 6, 2, 1), (128, 64, 16, 1), (108, 54, 9, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85d96e0c38>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 2, 8, 8), (4, 2, 3, 2), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 167, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85d946b910>, Scalar(float32)]
- Inputs shapes: [(2, 4, 3, 2), (3, 2, 4, 8), (3, 4, 6, 9), 'No shapes', ()]
- Inputs strides: [(24, 6, 2, 1), (128, 64, 16, 1), (216, 54, 9, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85d96e0f30>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 2, 8, 8), (1, 2, 2, 3), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 168, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), <theano.gof.type.CDataType object at 0x7f85e659f490>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 3), (1, 2, 4, 8), (1, 1, 5, 10), 'No shapes', ()]
- Inputs strides: [(6, 0, 3, 1), (0, 64, 16, 1), (0, 0, 10, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85d96e0a08>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 1, 8, 8), (1, 1, 2, 3), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 169, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85c7485c90>, Scalar(float32)]
- Inputs shapes: [(1, 1, 2, 3), (3, 1, 4, 8), (3, 1, 5, 10), 'No shapes', ()]
- Inputs strides: [(0, 0, 3, 1), (64, 0, 16, 1), (50, 0, 10, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85d96e05a8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 1, 8, 8), (2, 1, 2, 3), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 170, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85dc2910d0>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 3), (1, 1, 4, 8), (1, 2, 5, 10), 'No shapes', ()]
- Inputs strides: [(0, 6, 3, 1), (0, 0, 16, 1), (0, 50, 10, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85d96e00f8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 1, 8, 8), (2, 1, 2, 3), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 171, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85d94604d0>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 3), (3, 1, 4, 8), (3, 2, 5, 10), 'No shapes', ()]
- Inputs strides: [(0, 6, 3, 1), (64, 0, 16, 1), (100, 50, 10, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a9433a30>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 2, 8, 8), (1, 2, 2, 3), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 172, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85c749fd90>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 3), (3, 2, 4, 8), (3, 1, 5, 10), 'No shapes', ()]
- Inputs strides: [(6, 0, 3, 1), (128, 64, 16, 1), (50, 0, 10, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a9433cb0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 2, 8, 8), (2, 2, 2, 3), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 173, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85abd24c10>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 3), (1, 2, 4, 8), (1, 2, 5, 10), 'No shapes', ()]
- Inputs strides: [(12, 6, 3, 1), (0, 64, 16, 1), (0, 50, 10, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a9433508>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((2, 2, 8, 8), (2, 2, 2, 3), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 174, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85d8984a10>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 3), (2, 2, 4, 8), (2, 2, 5, 10), 'No shapes', ()]
- Inputs strides: [(12, 6, 3, 1), (128, 64, 16, 1), (100, 50, 10, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a9433558>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 2, 8, 8), (4, 2, 2, 3), 'full', (1, 1), (2, 1), (1, 1), -1, 0, True, None, 175, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85c7485ed0>, Scalar(float32)]
- Inputs shapes: [(2, 4, 2, 3), (3, 2, 4, 8), (3, 4, 5, 10), 'No shapes', ()]
- Inputs strides: [(24, 6, 3, 1), (128, 64, 16, 1), (200, 50, 10, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a94332d8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 2, 2, 2), (1, 2, 1, 1), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 176, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, True, True)), CudaNdarrayType(float32, (True, False, True, True)), CudaNdarrayType(float32, (True, True, True, True)), <theano.gof.type.CDataType object at 0x7f85af399c10>, Scalar(float32)]
- Inputs shapes: [(2, 1, 1, 1), (1, 2, 1, 1), (1, 1, 1, 1), 'No shapes', ()]
- Inputs strides: [(1, 0, 0, 0), (0, 4, 0, 0), (0, 0, 0, 0), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85ac6f6e70>, <CudaNdarray object at 0x7f85df38a5f0>, <CudaNdarray object at 0x7f85ac6f6370>, <PyCObject object at 0x7f85a9433850>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 2, 2, 2), (1, 2, 1, 1), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 180, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, True, True)), CudaNdarrayType(float32, (False, False, True, True)), CudaNdarrayType(float32, (False, True, True, True)), <theano.gof.type.CDataType object at 0x7f85d968d690>, Scalar(float32)]
- Inputs shapes: [(2, 1, 1, 1), (3, 2, 1, 1), (3, 1, 1, 1), 'No shapes', ()]
- Inputs strides: [(1, 0, 0, 0), (8, 4, 0, 0), (1, 0, 0, 0), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85df0e04f0>, 'not shown', <CudaNdarray object at 0x7f85dcff4770>, <PyCObject object at 0x7f85a9433788>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 2, 2, 2), (2, 2, 1, 1), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 181, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, False, True, True)), CudaNdarrayType(float32, (True, False, True, True)), CudaNdarrayType(float32, (True, False, True, True)), <theano.gof.type.CDataType object at 0x7f85dee42550>, Scalar(float32)]
- Inputs shapes: [(2, 2, 1, 1), (1, 2, 1, 1), (1, 2, 1, 1), 'No shapes', ()]
- Inputs strides: [(2, 1, 0, 0), (0, 4, 0, 0), (0, 1, 0, 0), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85dcff4770>, <CudaNdarray object at 0x7f85ac6f6230>, <CudaNdarray object at 0x7f85c7339530>, <PyCObject object at 0x7f85a9433aa8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((2, 2, 2, 2), (2, 2, 1, 1), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 182, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, False, True, True)), CudaNdarrayType(float32, (False, False, True, True)), CudaNdarrayType(float32, (False, False, True, True)), <theano.gof.type.CDataType object at 0x7f85c75b5290>, Scalar(float32)]
- Inputs shapes: [(2, 2, 1, 1), (2, 2, 1, 1), (2, 2, 1, 1), 'No shapes', ()]
- Inputs strides: [(2, 1, 0, 0), (8, 4, 0, 0), (2, 1, 0, 0), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85e079c830>, <CudaNdarray object at 0x7f85c901e8b0>, <CudaNdarray object at 0x7f85e079ceb0>, <PyCObject object at 0x7f85a9433da0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 2, 2, 2), (4, 2, 1, 1), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 183, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, False, True, True)), CudaNdarrayType(float32, (False, False, True, True)), CudaNdarrayType(float32, (False, False, True, True)), <theano.gof.type.CDataType object at 0x7f85a94211d0>, Scalar(float32)]
- Inputs shapes: [(2, 4, 1, 1), (3, 2, 1, 1), (3, 4, 1, 1), 'No shapes', ()]
- Inputs strides: [(4, 1, 0, 0), (8, 4, 0, 0), (4, 1, 0, 0), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a9433788>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 2, 4, 4), (1, 2, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 184, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), <theano.gof.type.CDataType object at 0x7f85abe52590>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (1, 2, 2, 2), (1, 1, 3, 3), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (0, 16, 8, 2), (0, 0, 3, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a9433f58>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 1, 4, 4), (1, 1, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 185, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85c5a4f5d0>, Scalar(float32)]
- Inputs shapes: [(1, 1, 2, 2), (3, 1, 2, 2), (3, 1, 3, 3), 'No shapes', ()]
- Inputs strides: [(0, 0, 2, 1), (16, 0, 8, 2), (9, 0, 3, 1), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85d8946d70>, 'not shown', 'not shown', <PyCObject object at 0x7f85a9614300>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 1, 4, 4), (2, 1, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 186, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85c901e4d0>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (1, 1, 2, 2), (1, 2, 3, 3), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (0, 0, 8, 2), (0, 9, 3, 1), 'No strides', ()]
- Inputs values: ['not shown', <CudaNdarray object at 0x7f85c7571570>, 'not shown', <PyCObject object at 0x7f85a9614a08>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 1, 4, 4), (2, 1, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 187, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85e07c5d90>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (3, 1, 2, 2), (3, 2, 3, 3), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (16, 0, 8, 2), (18, 9, 3, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a9614e40>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 2, 4, 4), (1, 2, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 188, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85c72edcd0>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (3, 2, 2, 2), (3, 1, 3, 3), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (32, 16, 8, 2), (9, 0, 3, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a9614be8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 2, 4, 4), (2, 2, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 189, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85e06c1110>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (1, 2, 2, 2), (1, 2, 3, 3), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (0, 16, 8, 2), (0, 9, 3, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a9614e90>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((2, 2, 4, 4), (2, 2, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 190, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85a9615990>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (2, 2, 2, 2), (2, 2, 3, 3), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (32, 16, 8, 2), (18, 9, 3, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a9614c60>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 2, 4, 4), (4, 2, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 191, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85ac15eed0>, Scalar(float32)]
- Inputs shapes: [(2, 4, 2, 2), (3, 2, 2, 2), (3, 4, 3, 3), 'No shapes', ()]
- Inputs strides: [(16, 4, 2, 1), (32, 16, 8, 2), (36, 9, 3, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dee128a0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 2, 6, 6), (1, 2, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 192, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), <theano.gof.type.CDataType object at 0x7f85aa13f1d0>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (1, 2, 3, 3), (1, 1, 4, 4), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (0, 36, 12, 2), (0, 0, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dee12c38>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 1, 6, 6), (1, 1, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 193, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85d93f19d0>, Scalar(float32)]
- Inputs shapes: [(1, 1, 2, 2), (3, 1, 3, 3), (3, 1, 4, 4), 'No shapes', ()]
- Inputs strides: [(0, 0, 2, 1), (36, 0, 12, 2), (16, 0, 4, 1), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85af2ec630>, 'not shown', 'not shown', <PyCObject object at 0x7f85ddae48c8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 1, 6, 6), (2, 1, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 194, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85a93dc650>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (1, 1, 3, 3), (1, 2, 4, 4), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (0, 0, 12, 2), (0, 16, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ddae4710>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 1, 6, 6), (2, 1, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 195, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85ac13e050>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (3, 1, 3, 3), (3, 2, 4, 4), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (36, 0, 12, 2), (32, 16, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ddae42d8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 2, 6, 6), (1, 2, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 196, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85c72f2bd0>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (3, 2, 3, 3), (3, 1, 4, 4), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (72, 36, 12, 2), (16, 0, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ddae45a8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 2, 6, 6), (2, 2, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 197, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85c72eda10>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (1, 2, 3, 3), (1, 2, 4, 4), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (0, 36, 12, 2), (0, 16, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dbdf1a30>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((2, 2, 6, 6), (2, 2, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 198, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85df34b250>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (2, 2, 3, 3), (2, 2, 4, 4), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (72, 36, 12, 2), (32, 16, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dbdf1f08>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 2, 6, 6), (4, 2, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 199, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85a9ef4490>, Scalar(float32)]
- Inputs shapes: [(2, 4, 2, 2), (3, 2, 3, 3), (3, 4, 4, 4), 'No shapes', ()]
- Inputs strides: [(16, 4, 2, 1), (72, 36, 12, 2), (64, 16, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dbdf1a80>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 2, 8, 6), (1, 2, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 200, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), <theano.gof.type.CDataType object at 0x7f85af40d1d0>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (1, 2, 4, 3), (1, 1, 5, 4), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (0, 48, 12, 2), (0, 0, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dbdf1350>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 1, 8, 6), (1, 1, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 201, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85e6c01c50>, Scalar(float32)]
- Inputs shapes: [(1, 1, 2, 2), (3, 1, 4, 3), (3, 1, 5, 4), 'No shapes', ()]
- Inputs strides: [(0, 0, 2, 1), (48, 0, 12, 2), (20, 0, 4, 1), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85ac74b1b0>, 'not shown', 'not shown', <PyCObject object at 0x7f85ddae4710>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 1, 8, 6), (2, 1, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 202, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85af334310>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (1, 1, 4, 3), (1, 2, 5, 4), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (0, 0, 12, 2), (0, 20, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dee122d8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 1, 8, 6), (2, 1, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 203, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85c73caf50>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (3, 1, 4, 3), (3, 2, 5, 4), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (48, 0, 12, 2), (40, 20, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a9614a58>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 2, 8, 6), (1, 2, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 204, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85abceef90>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (3, 2, 4, 3), (3, 1, 5, 4), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (96, 48, 12, 2), (20, 0, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a9614620>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 2, 8, 6), (2, 2, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 205, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85dbb4fbd0>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (1, 2, 4, 3), (1, 2, 5, 4), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (0, 48, 12, 2), (0, 20, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a9433198>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((2, 2, 8, 6), (2, 2, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 206, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85ac5ab150>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (2, 2, 4, 3), (2, 2, 5, 4), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (96, 48, 12, 2), (40, 20, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a9433148>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 2, 8, 6), (4, 2, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 207, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85c7344b90>, Scalar(float32)]
- Inputs shapes: [(2, 4, 2, 2), (3, 2, 4, 3), (3, 4, 5, 4), 'No shapes', ()]
- Inputs strides: [(16, 4, 2, 1), (96, 48, 12, 2), (80, 20, 4, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a94338f0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 2, 6, 8), (1, 2, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 208, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), <theano.gof.type.CDataType object at 0x7f85af377710>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (1, 2, 3, 4), (1, 1, 4, 5), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (0, 48, 16, 2), (0, 0, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a9433c38>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 1, 6, 8), (1, 1, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 209, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85dbdfa890>, Scalar(float32)]
- Inputs shapes: [(1, 1, 2, 2), (3, 1, 3, 4), (3, 1, 4, 5), 'No shapes', ()]
- Inputs strides: [(0, 0, 2, 1), (48, 0, 16, 2), (20, 0, 5, 1), 'No strides', ()]
- Inputs values: [<CudaNdarray object at 0x7f85e6c01b70>, 'not shown', 'not shown', <PyCObject object at 0x7f85d96e0530>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 1, 6, 8), (2, 1, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 210, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85d88dc790>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (1, 1, 3, 4), (1, 2, 4, 5), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (0, 0, 16, 2), (0, 20, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85d96e0f80>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 1, 6, 8), (2, 1, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 211, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85e6c3f410>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 2), (3, 1, 3, 4), (3, 2, 4, 5), 'No shapes', ()]
- Inputs strides: [(0, 4, 2, 1), (48, 0, 16, 2), (40, 20, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85d96e03a0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 2, 6, 8), (1, 2, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 212, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85ac6f6c90>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 2), (3, 2, 3, 4), (3, 1, 4, 5), 'No shapes', ()]
- Inputs strides: [(4, 0, 2, 1), (96, 48, 16, 2), (20, 0, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85d96e0d00>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 2, 6, 8), (2, 2, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 213, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85d943c650>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (1, 2, 3, 4), (1, 2, 4, 5), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (0, 48, 16, 2), (0, 20, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dbdc0a08>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((2, 2, 6, 8), (2, 2, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 214, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85df33c550>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 2), (2, 2, 3, 4), (2, 2, 4, 5), 'No shapes', ()]
- Inputs strides: [(8, 4, 2, 1), (96, 48, 16, 2), (40, 20, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dbdc0670>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 2, 6, 8), (4, 2, 2, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 215, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85d946b290>, Scalar(float32)]
- Inputs shapes: [(2, 4, 2, 2), (3, 2, 3, 4), (3, 4, 4, 5), 'No shapes', ()]
- Inputs strides: [(16, 4, 2, 1), (96, 48, 16, 2), (80, 20, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dbdc0238>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 2, 8, 8), (1, 2, 3, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 216, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), <theano.gof.type.CDataType object at 0x7f85ddae9f50>, Scalar(float32)]
- Inputs shapes: [(2, 1, 3, 2), (1, 2, 4, 4), (1, 1, 6, 5), 'No shapes', ()]
- Inputs strides: [(6, 0, 2, 1), (0, 64, 16, 2), (0, 0, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dbdc0bc0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 1, 8, 8), (1, 1, 3, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 217, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85dc270f90>, Scalar(float32)]
- Inputs shapes: [(1, 1, 3, 2), (3, 1, 4, 4), (3, 1, 6, 5), 'No shapes', ()]
- Inputs strides: [(0, 0, 2, 1), (64, 0, 16, 2), (30, 0, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dee86710>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 1, 8, 8), (2, 1, 3, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 218, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85c72ff710>, Scalar(float32)]
- Inputs shapes: [(1, 2, 3, 2), (1, 1, 4, 4), (1, 2, 6, 5), 'No shapes', ()]
- Inputs strides: [(0, 6, 2, 1), (0, 0, 16, 2), (0, 30, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dee86670>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 1, 8, 8), (2, 1, 3, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 219, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85e07e1750>, Scalar(float32)]
- Inputs shapes: [(1, 2, 3, 2), (3, 1, 4, 4), (3, 2, 6, 5), 'No shapes', ()]
- Inputs strides: [(0, 6, 2, 1), (64, 0, 16, 2), (60, 30, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dee865f8>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 2, 8, 8), (1, 2, 3, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 220, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85abd24a90>, Scalar(float32)]
- Inputs shapes: [(2, 1, 3, 2), (3, 2, 4, 4), (3, 1, 6, 5), 'No shapes', ()]
- Inputs strides: [(6, 0, 2, 1), (128, 64, 16, 2), (30, 0, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ac6fe328>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 2, 8, 8), (2, 2, 3, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 221, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85ac6f3210>, Scalar(float32)]
- Inputs shapes: [(2, 2, 3, 2), (1, 2, 4, 4), (1, 2, 6, 5), 'No shapes', ()]
- Inputs strides: [(12, 6, 2, 1), (0, 64, 16, 2), (0, 30, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ac6feb48>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((2, 2, 8, 8), (2, 2, 3, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 222, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85e72822d0>, Scalar(float32)]
- Inputs shapes: [(2, 2, 3, 2), (2, 2, 4, 4), (2, 2, 6, 5), 'No shapes', ()]
- Inputs strides: [(12, 6, 2, 1), (128, 64, 16, 2), (60, 30, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ac6fe940>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 2, 8, 8), (4, 2, 3, 2), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 223, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85d88e2590>, Scalar(float32)]
- Inputs shapes: [(2, 4, 3, 2), (3, 2, 4, 4), (3, 4, 6, 5), 'No shapes', ()]
- Inputs strides: [(24, 6, 2, 1), (128, 64, 16, 2), (120, 30, 5, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ac6fedf0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 2, 8, 8), (1, 2, 2, 3), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 224, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), <theano.gof.type.CDataType object at 0x7f85dedf6f90>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 3), (1, 2, 4, 4), (1, 1, 5, 6), 'No shapes', ()]
- Inputs strides: [(6, 0, 3, 1), (0, 64, 16, 2), (0, 0, 6, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85ac6fef80>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 1, 8, 8), (1, 1, 2, 3), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 225, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85c73b4750>, Scalar(float32)]
- Inputs shapes: [(1, 1, 2, 3), (3, 1, 4, 4), (3, 1, 5, 6), 'No shapes', ()]
- Inputs strides: [(0, 0, 3, 1), (64, 0, 16, 2), (30, 0, 6, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dbdf1df0>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 1, 8, 8), (2, 1, 2, 3), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 226, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, True, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85ddb1aa50>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 3), (1, 1, 4, 4), (1, 2, 5, 6), 'No shapes', ()]
- Inputs strides: [(0, 6, 3, 1), (0, 0, 16, 2), (0, 30, 6, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85dbdf1120>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 1, 8, 8), (2, 1, 2, 3), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 227, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85dedfea90>, Scalar(float32)]
- Inputs shapes: [(1, 2, 2, 3), (3, 1, 4, 4), (3, 2, 5, 6), 'No shapes', ()]
- Inputs strides: [(0, 6, 3, 1), (64, 0, 16, 2), (60, 30, 6, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a973a620>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 2, 8, 8), (1, 2, 2, 3), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 228, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, (False, True, False, False)), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (False, True, False, False)), <theano.gof.type.CDataType object at 0x7f85af400090>, Scalar(float32)]
- Inputs shapes: [(2, 1, 2, 3), (3, 2, 4, 4), (3, 1, 5, 6), 'No shapes', ()]
- Inputs strides: [(6, 0, 3, 1), (128, 64, 16, 2), (30, 0, 6, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a973a828>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((1, 2, 8, 8), (2, 2, 2, 3), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 229, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, (True, False, False, False)), CudaNdarrayType(float32, (True, False, False, False)), <theano.gof.type.CDataType object at 0x7f85abfd2190>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 3), (1, 2, 4, 4), (1, 2, 5, 6), 'No shapes', ()]
- Inputs strides: [(12, 6, 3, 1), (0, 64, 16, 2), (0, 30, 6, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a973a058>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((2, 2, 8, 8), (2, 2, 2, 3), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 230, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85c73b4c10>, Scalar(float32)]
- Inputs shapes: [(2, 2, 2, 3), (2, 2, 4, 4), (2, 2, 5, 6), 'No shapes', ()]
- Inputs strides: [(12, 6, 3, 1), (128, 64, 16, 2), (60, 30, 6, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a973af30>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.test_dnn_full((3, 2, 8, 8), (4, 2, 2, 3), 'full', (1, 1), (2, 2), (1, 1), -1, 0, True, None, 231, 1e-05, 1e-08, 0, False, None, <theano.compile.mode.Mode object at 0x7f85d37e8410>, <class 'theano.sandbox.cuda.dnn.DnnBase'>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 205, in _params_allgood
- gpuval = f(img, kern)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnConvGradI: error doing operation: CUDNN_STATUS_NOT_SUPPORTED
- Apply node that caused the error: GpuDnnConvGradI{inplace=True}(GpuContiguous.0, CopyOnNegativeStrides.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0})
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85d88e2d10>, Scalar(float32)]
- Inputs shapes: [(2, 4, 2, 3), (3, 2, 4, 4), (3, 4, 5, 6), 'No shapes', ()]
- Inputs strides: [(24, 6, 3, 1), (128, 64, 16, 2), (120, 30, 6, 1), 'No strides', ()]
- Inputs values: ['not shown', 'not shown', 'not shown', <PyCObject object at 0x7f85a973a760>, 1.0]
- HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: theano.sandbox.cuda.tests.test_dnn.test_pooling
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_dnn.py", line 151, in test_pooling
- g_out = fg(data)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 606, in __call__
- storage_map=self.fn.storage_map)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 595, in __call__
- outputs = self.fn()
- RuntimeError: GpuDnnPoolGrad: error doing operation: CUDNN_STATUS_BAD_PARAM. input.shape=(1, 1, 2, 1) input_grad.shape=(1, 1, 1, 1) output.shape=(1, 1, 2, 2) output_grad.shape=(1, 1, 2, 2)
- Apply node that caused the error: GpuDnnPoolGrad(GpuContiguous.0, GpuDnnPool.0, GpuContiguous.0, GpuDnnPoolDesc{ws=(2, 2), stride=(2, 2), mode='max', pad=(1, 0)}.0)
- Inputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7f85c7571e90>]
- Inputs shapes: [(1, 1, 2, 2), (1, 1, 2, 1), (1, 1, 1, 1), 'No shapes']
- Inputs strides: [(0, 0, 2, 1), (0, 0, 1, 0), (0, 0, 0, 0), 'No strides']
- Inputs values: [<CudaNdarray object at 0x7f85af40f130>, <CudaNdarray object at 0x7f85dbb4f270>, <CudaNdarray object at 0x7f85a99b4370>, <PyCObject object at 0x7f85a973ae90>]
- Backtrace when the node is created:
- File "/home/ubuntu/repositories/theano/theano/gradient.py", line 1241, in access_grad_cache
- term = access_term_cache(node)[idx]
- HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
- ======================================================================
- ERROR: test_GpuCumsum2D (theano.sandbox.cuda.tests.test_extra_ops.TestGpuCumsum)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_extra_ops.py", line 143, in test_GpuCumsum2D
- f = theano.function([x], cumsum(x, axis=axis), mode=self.mode)
- File "/home/ubuntu/repositories/theano/theano/compile/function.py", line 265, in function
- profile=profile)
- File "/home/ubuntu/repositories/theano/theano/compile/pfunc.py", line 511, in pfunc
- on_unused_input=on_unused_input)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 1557, in orig_function
- defaults)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 1415, in create
- input_storage=input_storage_lists)
- File "/home/ubuntu/repositories/theano/theano/gof/link.py", line 525, in make_thunk
- output_storage=output_storage)[:3]
- File "/home/ubuntu/repositories/theano/theano/gof/vm.py", line 897, in make_all
- no_recycling))
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/__init__.py", line 256, in make_thunk
- compute_map, no_recycling)
- File "/home/ubuntu/repositories/theano/theano/gof/op.py", line 739, in make_thunk
- output_storage=node_output_storage)
- File "/home/ubuntu/repositories/theano/theano/gof/cc.py", line 1072, in make_thunk
- keep_lock=keep_lock)
- File "/home/ubuntu/repositories/theano/theano/gof/cc.py", line 1014, in __compile__
- keep_lock=keep_lock)
- File "/home/ubuntu/repositories/theano/theano/gof/cc.py", line 1433, in cthunk_factory
- key = self.cmodule_key()
- File "/home/ubuntu/repositories/theano/theano/gof/cc.py", line 1153, in cmodule_key
- compile_args=self.compile_args(),
- File "/home/ubuntu/repositories/theano/theano/gof/cc.py", line 862, in compile_args
- ret += x.c_compile_args()
- File "/home/ubuntu/repositories/theano/theano/gof/cc.py", line 1786, in __hide
- raise MethodNotDefined()
- NameError: ('The following error happened while compiling the node', GpuFlatten{1}(GpuFromHost.0), '\n', "global name 'MethodNotDefined' is not defined")
- ======================================================================
- ERROR: test_GpuCumsum3D (theano.sandbox.cuda.tests.test_extra_ops.TestGpuCumsum)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_extra_ops.py", line 182, in test_GpuCumsum3D
- f = theano.function([x], cumsum(x, axis=axis), mode=self.mode)
- File "/home/ubuntu/repositories/theano/theano/compile/function.py", line 265, in function
- profile=profile)
- File "/home/ubuntu/repositories/theano/theano/compile/pfunc.py", line 511, in pfunc
- on_unused_input=on_unused_input)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 1557, in orig_function
- defaults)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 1415, in create
- input_storage=input_storage_lists)
- File "/home/ubuntu/repositories/theano/theano/gof/link.py", line 525, in make_thunk
- output_storage=output_storage)[:3]
- File "/home/ubuntu/repositories/theano/theano/gof/vm.py", line 897, in make_all
- no_recycling))
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/__init__.py", line 256, in make_thunk
- compute_map, no_recycling)
- File "/home/ubuntu/repositories/theano/theano/gof/op.py", line 739, in make_thunk
- output_storage=node_output_storage)
- File "/home/ubuntu/repositories/theano/theano/gof/cc.py", line 1072, in make_thunk
- keep_lock=keep_lock)
- File "/home/ubuntu/repositories/theano/theano/gof/cc.py", line 1014, in __compile__
- keep_lock=keep_lock)
- File "/home/ubuntu/repositories/theano/theano/gof/cc.py", line 1433, in cthunk_factory
- key = self.cmodule_key()
- File "/home/ubuntu/repositories/theano/theano/gof/cc.py", line 1153, in cmodule_key
- compile_args=self.compile_args(),
- File "/home/ubuntu/repositories/theano/theano/gof/cc.py", line 862, in compile_args
- ret += x.c_compile_args()
- File "/home/ubuntu/repositories/theano/theano/gof/cc.py", line 1786, in __hide
- raise MethodNotDefined()
- NameError: ('The following error happened while compiling the node', GpuFlatten{1}(GpuFromHost.0), '\n', "global name 'MethodNotDefined' is not defined")
- ======================================================================
- ERROR: test_Strides2D (theano.sandbox.cuda.tests.test_extra_ops.TestGpuCumsum)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_extra_ops.py", line 76, in test_Strides2D
- mode=self.mode)
- File "/home/ubuntu/repositories/theano/theano/compile/function.py", line 265, in function
- profile=profile)
- File "/home/ubuntu/repositories/theano/theano/compile/pfunc.py", line 511, in pfunc
- on_unused_input=on_unused_input)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 1557, in orig_function
- defaults)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 1415, in create
- input_storage=input_storage_lists)
- File "/home/ubuntu/repositories/theano/theano/gof/link.py", line 525, in make_thunk
- output_storage=output_storage)[:3]
- File "/home/ubuntu/repositories/theano/theano/gof/vm.py", line 897, in make_all
- no_recycling))
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/__init__.py", line 256, in make_thunk
- compute_map, no_recycling)
- File "/home/ubuntu/repositories/theano/theano/gof/op.py", line 739, in make_thunk
- output_storage=node_output_storage)
- File "/home/ubuntu/repositories/theano/theano/gof/cc.py", line 1072, in make_thunk
- keep_lock=keep_lock)
- File "/home/ubuntu/repositories/theano/theano/gof/cc.py", line 1014, in __compile__
- keep_lock=keep_lock)
- File "/home/ubuntu/repositories/theano/theano/gof/cc.py", line 1433, in cthunk_factory
- key = self.cmodule_key()
- File "/home/ubuntu/repositories/theano/theano/gof/cc.py", line 1153, in cmodule_key
- compile_args=self.compile_args(),
- File "/home/ubuntu/repositories/theano/theano/gof/cc.py", line 862, in compile_args
- ret += x.c_compile_args()
- File "/home/ubuntu/repositories/theano/theano/gof/cc.py", line 1786, in __hide
- raise MethodNotDefined()
- NameError: ('The following error happened while compiling the node', GpuFlatten{1}(GpuFromHost.0), '\n', "global name 'MethodNotDefined' is not defined")
- ======================================================================
- ERROR: test_Strides3D (theano.sandbox.cuda.tests.test_extra_ops.TestGpuCumsum)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_extra_ops.py", line 99, in test_Strides3D
- mode=self.mode)
- File "/home/ubuntu/repositories/theano/theano/compile/function.py", line 265, in function
- profile=profile)
- File "/home/ubuntu/repositories/theano/theano/compile/pfunc.py", line 511, in pfunc
- on_unused_input=on_unused_input)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 1557, in orig_function
- defaults)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 1415, in create
- input_storage=input_storage_lists)
- File "/home/ubuntu/repositories/theano/theano/gof/link.py", line 525, in make_thunk
- output_storage=output_storage)[:3]
- File "/home/ubuntu/repositories/theano/theano/gof/vm.py", line 897, in make_all
- no_recycling))
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/__init__.py", line 256, in make_thunk
- compute_map, no_recycling)
- File "/home/ubuntu/repositories/theano/theano/gof/op.py", line 739, in make_thunk
- output_storage=node_output_storage)
- File "/home/ubuntu/repositories/theano/theano/gof/cc.py", line 1072, in make_thunk
- keep_lock=keep_lock)
- File "/home/ubuntu/repositories/theano/theano/gof/cc.py", line 1014, in __compile__
- keep_lock=keep_lock)
- File "/home/ubuntu/repositories/theano/theano/gof/cc.py", line 1433, in cthunk_factory
- key = self.cmodule_key()
- File "/home/ubuntu/repositories/theano/theano/gof/cc.py", line 1153, in cmodule_key
- compile_args=self.compile_args(),
- File "/home/ubuntu/repositories/theano/theano/gof/cc.py", line 862, in compile_args
- ret += x.c_compile_args()
- File "/home/ubuntu/repositories/theano/theano/gof/cc.py", line 1786, in __hide
- raise MethodNotDefined()
- NameError: ('The following error happened while compiling the node', GpuFlatten{1}(GpuFromHost.0), '\n', "global name 'MethodNotDefined' is not defined")
- ======================================================================
- ERROR: test_infer_shape (theano.sandbox.cuda.tests.test_extra_ops.TestGpuCumsum)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/home/ubuntu/repositories/theano/theano/tensor/tests/test_extra_ops.py", line 51, in test_infer_shape
- self.op_class)
- File "/home/ubuntu/repositories/theano/theano/tests/unittest_tools.py", line 237, in _compile_and_check
- outputs_function = theano.function(inputs, outputs, mode=mode)
- File "/home/ubuntu/repositories/theano/theano/compile/function.py", line 265, in function
- profile=profile)
- File "/home/ubuntu/repositories/theano/theano/compile/pfunc.py", line 511, in pfunc
- on_unused_input=on_unused_input)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 1557, in orig_function
- defaults)
- File "/home/ubuntu/repositories/theano/theano/compile/function_module.py", line 1415, in create
- input_storage=input_storage_lists)
- File "/home/ubuntu/repositories/theano/theano/gof/link.py", line 525, in make_thunk
- output_storage=output_storage)[:3]
- File "/home/ubuntu/repositories/theano/theano/gof/vm.py", line 897, in make_all
- no_recycling))
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/__init__.py", line 256, in make_thunk
- compute_map, no_recycling)
- File "/home/ubuntu/repositories/theano/theano/gof/op.py", line 739, in make_thunk
- output_storage=node_output_storage)
- File "/home/ubuntu/repositories/theano/theano/gof/cc.py", line 1072, in make_thunk
- keep_lock=keep_lock)
- File "/home/ubuntu/repositories/theano/theano/gof/cc.py", line 1014, in __compile__
- keep_lock=keep_lock)
- File "/home/ubuntu/repositories/theano/theano/gof/cc.py", line 1433, in cthunk_factory
- key = self.cmodule_key()
- File "/home/ubuntu/repositories/theano/theano/gof/cc.py", line 1153, in cmodule_key
- compile_args=self.compile_args(),
- File "/home/ubuntu/repositories/theano/theano/gof/cc.py", line 862, in compile_args
- ret += x.c_compile_args()
- File "/home/ubuntu/repositories/theano/theano/gof/cc.py", line 1786, in __hide
- raise MethodNotDefined()
- NameError: ('The following error happened while compiling the node', GpuFlatten{1}(GpuFromHost.0), '\n', "global name 'MethodNotDefined' is not defined")
- ======================================================================
- FAIL: theano.sandbox.cuda.tests.test_conv_cuda_ndarray.TestConvWithPadding.test_numeric_value((5, 10, 8, 8), (12, 10, 4, 4), 3, <function dnn_conv at 0x7f85fbdf3050>)
- ----------------------------------------------------------------------
- Traceback (most recent call last):
- File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
- self.test(*self.arg)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py", line 692, in _run_onecase
- Y = op(X, kern, border_mode=border_mode)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/dnn.py", line 702, in dnn_conv
- subsample)
- File "/home/ubuntu/repositories/theano/theano/sandbox/cuda/dnn.py", line 471, in get_out_shape
- assert border_mode == 'valid'
- AssertionError
- ----------------------------------------------------------------------
- Ran 21080 tests in 6898.320s
- FAILED (KNOWNFAIL=19, SKIP=45, errors=330, failures=1)
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