torch / nn / torch.nn
AdaptiveMaxPool1d¶
-
class
torch.nn.
AdaptiveMaxPool1d
(output_size: Union[T, Tuple[T, ...]], return_indices: bool = False)[source]¶ Applies a 1D adaptive max pooling over an input signal composed of several input planes.
The output size is H, for any input size. The number of output features is equal to the number of input planes.
- Parameters
output_size – the target output size H
return_indices – if
True
, will return the indices along with the outputs. Useful to pass to nn.MaxUnpool1d. Default:False
Examples
>>> # target output size of 5 >>> m = nn.AdaptiveMaxPool1d(5) >>> input = torch.randn(1, 64, 8) >>> output = m(input)
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