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@benanne
Created March 19, 2012 21:04
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theano reshape cuda error
Error freeing device pointer 0x200605000 (unspecified launch failure).
!!!! error freeing device memory 0x200605000 (self=0x132d9630)
Error freeing device pointer 0x20030a000 (unspecified launch failure).
!!!! error freeing dev_structure memory 0x20030a000 (self=0x132d9630)
---------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
/usr/lib/python2.7/site-packages/IPython/utils/py3compat.py in execfile(fname, *where)
173 else:
174 filename = fname
--> 175 __builtin__.execfile(filename, *where)
/home/sander/roel/convolutional_network_autoencoder.py in <module>()
479
480 if __name__ == '__main__':
--> 481 evaluate_lenet5()
482
483 def experiment(state, channel):
/home/sander/roel/convolutional_network_autoencoder.py in evaluate_lenet5(learning_rate, n_epochs, dataset, nkerns, batch_size)
387 for batch in xrange(n_train_batches):
388 previous_time = time.clock()
--> 389 cost = layer0_pretrain(batch)
390 c.append(cost)
391 current_time = time.clock()
/home/sander/python_modules/theano/compile/function_module.pyc in __call__(self, *args, **kwargs)
641 t0_fn = time.time()
642 try:
--> 643 outputs = self.fn()
644 except Exception:
645 if hasattr(self.fn, 'position_of_error'):
/home/sander/python_modules/theano/gof/link.pyc in streamline_default_f()
342 old_s[0] = None
343 except Exception:
--> 344 raise_with_op(node)
345 f = streamline_default_f
346 elif nice_errors:
/home/sander/python_modules/theano/gof/link.pyc in streamline_default_f()
338 try:
339 for thunk, node, old_storage in zip(thunks, order, post_thunk_old_storage):
--> 340 thunk()
341 for old_s in old_storage:
342 old_s[0] = None
/home/sander/python_modules/theano/gof/op.pyc in rval(p, i, o, n)
596
597 def rval(p=p, i=node_input_storage, o=node_output_storage, n=node):
--> 598 r = p(n, [x[0] for x in i], o)
599 for o in node.outputs:
600 compute_map[o][0] = True
/home/sander/python_modules/theano/sandbox/cuda/basic_ops.pyc in perform(self, node, inp, out_)
1735 raise ValueError('shape argument to Reshape.perform has incorrect length %i'
1736 ', should be %i' % (len(shp), self.ndim), shp)
-> 1737 out[0] = x.reshape(tuple(shp))
1738
1739 class GpuSubtensor(tensor.Subtensor, GpuOp):
RuntimeError: Cuda error in CudaNdarray_Reshape()n_blocks=6, n_threads=256, input_shape=(2, 3, 2, 11, 11), dest_shape=(6, 2, 11, 11)): k_copy_reshape_rowmajor: unspecified launch failure.
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