module = Reshape(dimension1, dimension2, ..)

Reshapes an nxpxqx.. Tensor into a dimension1xdimension2x... Tensor, taking the elements column-wise.

Example: 

> x=torch.Tensor(4,4)
> for i=1,4 do
>  for j=1,4 do
>   x[i][j]=(i-1)*4+j;
>  end
> end
> print(x)

  1   2   3   4
  5   6   7   8
  9  10  11  12
 13  14  15  16
[torch.Tensor of dimension 4x4]

> print(nn.Reshape(2,8):forward(x))

  1   9   2  10   3  11   4  12
  5  13   6  14   7  15   8  16
[torch.Tensor of dimension 2x8]

> print(nn.Reshape(8,2):forward(x))

  1   3
  5   7
  9  11
 13  15
  2   4
  6   8
 10  12
 14  16
[torch.Tensor of dimension 8x2]

> print(nn.Reshape(16):forward(x))

  1
  5
  9
 13
  2
  6
 10
 14
  3
  7
 11
 15
  4
  8
 12
 16
[torch.Tensor of dimension 16]