AdaptiveAvgPool1d¶
- class torch.nn.AdaptiveAvgPool1d(output_size)[source][source]¶
Applies a 1D adaptive average pooling over an input signal composed of several input planes.
The output size is , for any input size. The number of output features is equal to the number of input planes.
- Shape:
Input: or .
Output: or , where .
Examples
>>> # target output size of 5 >>> m = nn.AdaptiveAvgPool1d(5) >>> input = torch.randn(1, 64, 8) >>> output = m(input)