Shape:
      * Input: (N, C, L_{in}) or (C, L_{in}).
  * Output: (N, C, L_{out}) or (C, L_{out}), where

       L_{out} = \left\lfloor\frac{L_{in} -
       \text{kernel\_size}}{\text{stride}} + 1\right\rfloor

Examples::
      >>> # power-2 pool of window of length 3, with stride 2.
      >>> m = nn.LPPool1d(2, 3, stride=2)
      >>> input = torch.randn(20, 16, 50)
      >>> output = m(input)