AdaptiveAvgPool1d
class torch.nn.AdaptiveAvgPool1d(output_size)
Applies a 1D adaptive average pooling over an input signal composed
   of several input planes.
The output size is L_{out}, for any input size. The number of
   output features is equal to the number of input planes.
Parameters:
      output_size (Union[int, Tuple[int]]) --
      the target output size L_{out}.
Shape:
      * Input: (N, C, L_{in}) or (C, L_{in}).
  * Output: (N, C, L_{out}) or (C, L_{out}), where
    L_{out}=\text{output\_size}.

-[ Examples ]-



target output size of 5
m = nn.AdaptiveAvgPool1d(5)
input = torch.randn(1, 64, 8)
output = m(input)


