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@Orpheon
Created March 20, 2017 14:07
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$ python 1dconv.py
Traceback (most recent call last):
File "1dconv.py", line 30, in <module>
outputs = cnn(inputs)
File "/usr/local/lib/python3.5/dist-packages/torch/nn/modules/module.py", line 202, in __call__
result = self.forward(*input, **kwargs)
File "1dconv.py", line 22, in forward
out = self.layer(x)
File "/usr/local/lib/python3.5/dist-packages/torch/nn/modules/module.py", line 202, in __call__
result = self.forward(*input, **kwargs)
File "/usr/local/lib/python3.5/dist-packages/torch/nn/modules/conv.py", line 143, in forward
self.padding, self.dilation, self.groups)
File "/usr/local/lib/python3.5/dist-packages/torch/nn/functional.py", line 61, in conv1d
return f(input, weight, bias) if bias is not None else f(input, weight)
File "/usr/local/lib/python3.5/dist-packages/torch/nn/_functions/conv.py", line 35, in forward
output = self._update_output(input, weight, bias)
File "/usr/local/lib/python3.5/dist-packages/torch/nn/_functions/conv.py", line 99, in _update_output
output = self._thnn('update_output', input, weight, bias)
File "/usr/local/lib/python3.5/dist-packages/torch/nn/_functions/conv.py", line 159, in _thnn
impl = _thnn_convs[self.thnn_class_name(input)]
File "/usr/local/lib/python3.5/dist-packages/torch/nn/_functions/conv.py", line 140, in thnn_class_name
assert input.dim() == 4 or input.dim() == 5
AssertionError
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