AdaptiveAvgPool1d

class torch.nn.AdaptiveAvgPool1d(output_size)

对由多个输入平面组成的输入信号应用 1D 自适应平均池化。

The output size is $L_{out}$, for any input size. The number of output features is equal to the number of input planes.

参数

output_size (Union[int, tuple[int]]) – the target output size $L_{out}$.

形状

• Input: $(N, C, L_{in})$ or $(C, L_{in})$.

• Output: $(N, C, L_{out})$ or $(C, L_{out})$, where $L_{out}=\text{output\_size}$.

示例

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