m = nn.Conv2d(16, 32, (3, 3))
input = autograd.Variable(torch.randn(3, 16, 10, 10))
m(input)
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-57-ad2f7eaad9e5> in <module>()
----> 1 m(input)
/home/soumith/local/miniconda2/lib/python2.7/site-packages/torch/nn/modules/module.pyc in __call__(self, *input)
64
65 def __call__(self, *input):
---> 66 result = self.forward(*input)
67 for hook in self.forward_hooks.values():
68 hook(self, input, result)
/home/soumith/local/miniconda2/lib/python2.7/site-packages/torch/nn/modules/conv.pyc in forward(self, input)
140 return func(input, self.weight)
141 else:
--> 142 return func(input, self.weight, self.bias)
143
144
/home/soumith/local/miniconda2/lib/python2.7/site-packages/torch/autograd/function.pyc in __call__(self, *input)
16
17 def __call__(self, *input):
---> 18 return self._do_forward(*input)
19
20 def save_for_backward(self, *tensors):
/home/soumith/local/miniconda2/lib/python2.7/site-packages/torch/autograd/function.pyc in _do_forward(self, *input)
44 self.previous_functions = [(arg.creator, id(arg)) for arg in input]
45
---> 46 raw_output = self.forward(*unpacked_input)
47 if not isinstance(raw_output, tuple):
48 raw_output = (raw_output,)
/home/soumith/local/miniconda2/lib/python2.7/site-packages/torch/nn/functions/thnn/auto.pyc in forward(self, input, *params)
134 self.save_for_backward(input, *params)
135
--> 136 getattr(self._backend, update_output.name)(self._backend.library_state, input, output, *args)
137 return output
138
ValueError: Invalid arguments! Got (int, FloatTensor, FloatTensor, DoubleTensor, DoubleTensor, FloatTensor, FloatTensor, int, int, int, int, int, int), but expected (int state, torch.FloatTensor input, torch.FloatTensor output, torch.FloatTensor weight, [torch.FloatTensor bias or None], torch.FloatTensor finput, torch.FloatTensor fgradInput, int kW, int kH, int dW, int dH, int padW, int padH)
