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RuntimeError                              Traceback (most recent call last)
<ipython-input-38-45ae0203312f> in <module>()
      6 for epoch in xrange(n_epochs):
      7     for minibatch_index in xrange(n_train_batches):
----> 8         minibatch_avg_cost = train_model(minibatch_index)
      9 
     10     validation_losses = [validate_model(i) for i

/usr/local/lib/python2.7/dist-packages/theano/compile/function_module.pyc in __call__(self, *args, **kwargs)
    586                     # For the CVM
    587                     gof.vm.raise_with_op(self.fn.nodes[self.fn.position_of_error],
--> 588                                          self.fn.thunks[self.fn.position_of_error])
    589                 else:
    590                     # For the c linker

/usr/local/lib/python2.7/dist-packages/theano/compile/function_module.pyc in __call__(self, *args, **kwargs)
    577         t0_fn = time.time()
    578         try:
--> 579             outputs = self.fn()
    580         except Exception:
    581             if hasattr(self.fn, 'position_of_error'):

RuntimeError: Cuda error: GpuCrossentropySoftmaxArgmax1HotWithBias node_6b7275e07874be7aaf65352648b8c2d7_0: invalid configuration argument.
The kernel was launched with 1 threads, 0 blocks and 0 shared memory

Apply node that caused the error: GpuCrossentropySoftmaxArgmax1HotWithBias(GpuDot22.0, b, GpuElemwise{Identity{output_types_preference=<theano.scalar.basic.specific_out object at 0x7f2984c598d0>},no_inplace}.0)
Inputs shapes: [(0, 10), (10,), (0,)]
Inputs strides: [(10, 1), (1,), (1,)]
Inputs types: [CudaNdarrayType(float32, matrix), CudaNdarrayType(float32, vector), CudaNdarrayType(float32, vector)]
Use the Theano flag 'exception_verbosity=high' for a debugprint of this apply node.

~$ cat .theanorc 
[global]
floatX = float32
device = gpu0

[nvcc]
fastmath = True