nn.AvgPool1d需要根据自己需要的length去手动设计，而nn.AdaptiveAvgPool1d更像是高手设计好的麻瓜模块方便供我这种麻瓜使用
1.nn.AvgPool1d
看网上博客没看到把Lout说明白的，直接看官方文档就行了。
N - Batch Size
C - Channel number
L - Length
深度学习中的Tensor 数据格式（N,C,H,W）_d_b_的博客-CSDN博客_tensor格式
2.nn.AdaptiveAvgPool1d(N)
AdaptiveAvgPool1d(N) 对于一个输入shape为BCL的tensor进行一维的pool，输出shape为BCN
源码
class AdaptiveAvgPool1d(_AdaptiveAvgPoolNd):
r"""Applies a 1D adaptive average pooling over an input signal composed of several input planes.
The output size is :math:`L_{out}`, for any input size.
The number of output features is equal to the number of input planes.
Args:
output_size: the target output size :math:`L_{out}`.
Shape:
- Input: :math:`(N, C, L_{in})` or :math:`(C, L_{in})`.
- Output: :math:`(N, C, L_{out})` or :math:`(C, L_{out})`, where
:math:`L_{out}=\text{output\_size}`.
Examples:
>>> # target output size of 5
>>> m = nn.AdaptiveAvgPool1d(5)
>>> input = torch.randn(1, 64, 8)
>>> output = m(input)
"""
output_size: _size_1_t
def forward(self, input: Tensor) -> Tensor:
return F.adaptive_avg_pool1d(input, self.output_size)源码分析
(213条消息) torch.nn.AdaptiveAvgPool分析_JerryLiu1998的博客-CSDN博客_nn.adaptiveavgpool
参考资料
AvgPool1d — PyTorch 1.12 documentation
(213条消息) torch.nn.AdaptiveAvgPool1d(N)函数解读_wang xiang的博客-CSDN博客_avgpool1d
(213条消息) nn.AdaptiveAvgPool1d()_饿了就干饭的博客-CSDN博客_nn.adaptiveavgpool