>>> x = torch.autograd.Variable(torch.zeros(32, 48, 256))
>>> c = nn.Conv1d(48, 48, 2, padding=1, dilation=1)
>>> c(x)
Variable containing:
( 0 ,.,.) =
  0.0772  0.0772  0.0772  ...   0.0772  0.0772  0.0772
 -0.0369 -0.0369 -0.0369  ...  -0.0369 -0.0369 -0.0369
 -0.0734 -0.0734 -0.0734  ...  -0.0734 -0.0734 -0.0734
           ...             ⋱             ...
 -0.0844 -0.0844 -0.0844  ...  -0.0844 -0.0844 -0.0844
 -0.0752 -0.0752 -0.0752  ...  -0.0752 -0.0752 -0.0752
 -0.0422 -0.0422 -0.0422  ...  -0.0422 -0.0422 -0.0422

( 1 ,.,.) =
  0.0772  0.0772  0.0772  ...   0.0772  0.0772  0.0772
 -0.0369 -0.0369 -0.0369  ...  -0.0369 -0.0369 -0.0369
 -0.0734 -0.0734 -0.0734  ...  -0.0734 -0.0734 -0.0734
           ...             ⋱             ...
 -0.0844 -0.0844 -0.0844  ...  -0.0844 -0.0844 -0.0844
 -0.0752 -0.0752 -0.0752  ...  -0.0752 -0.0752 -0.0752
 -0.0422 -0.0422 -0.0422  ...  -0.0422 -0.0422 -0.0422

( 2 ,.,.) =
  0.0772  0.0772  0.0772  ...   0.0772  0.0772  0.0772
 -0.0369 -0.0369 -0.0369  ...  -0.0369 -0.0369 -0.0369
 -0.0734 -0.0734 -0.0734  ...  -0.0734 -0.0734 -0.0734
           ...             ⋱             ...
 -0.0844 -0.0844 -0.0844  ...  -0.0844 -0.0844 -0.0844
 -0.0752 -0.0752 -0.0752  ...  -0.0752 -0.0752 -0.0752
 -0.0422 -0.0422 -0.0422  ...  -0.0422 -0.0422 -0.0422
...

(29 ,.,.) =
  0.0772  0.0772  0.0772  ...   0.0772  0.0772  0.0772
 -0.0369 -0.0369 -0.0369  ...  -0.0369 -0.0369 -0.0369
 -0.0734 -0.0734 -0.0734  ...  -0.0734 -0.0734 -0.0734
           ...             ⋱             ...
 -0.0844 -0.0844 -0.0844  ...  -0.0844 -0.0844 -0.0844
 -0.0752 -0.0752 -0.0752  ...  -0.0752 -0.0752 -0.0752
 -0.0422 -0.0422 -0.0422  ...  -0.0422 -0.0422 -0.0422

(30 ,.,.) =
  0.0772  0.0772  0.0772  ...   0.0772  0.0772  0.0772
 -0.0369 -0.0369 -0.0369  ...  -0.0369 -0.0369 -0.0369
 -0.0734 -0.0734 -0.0734  ...  -0.0734 -0.0734 -0.0734
           ...             ⋱             ...
 -0.0844 -0.0844 -0.0844  ...  -0.0844 -0.0844 -0.0844
 -0.0752 -0.0752 -0.0752  ...  -0.0752 -0.0752 -0.0752
 -0.0422 -0.0422 -0.0422  ...  -0.0422 -0.0422 -0.0422

(31 ,.,.) =
  0.0772  0.0772  0.0772  ...   0.0772  0.0772  0.0772
 -0.0369 -0.0369 -0.0369  ...  -0.0369 -0.0369 -0.0369
 -0.0734 -0.0734 -0.0734  ...  -0.0734 -0.0734 -0.0734
           ...             ⋱             ...
 -0.0844 -0.0844 -0.0844  ...  -0.0844 -0.0844 -0.0844
 -0.0752 -0.0752 -0.0752  ...  -0.0752 -0.0752 -0.0752
 -0.0422 -0.0422 -0.0422  ...  -0.0422 -0.0422 -0.0422
[torch.FloatTensor of size 32x48x257]