如题:只需要给定输出特征图的大小就好,其中通道数前后不发生变化。具体如下:
AdaptiveAvgPool2d
CLASStorch.nn.
AdaptiveAvgPool2d
(output_size)[SOURCE]
Applies a 2D adaptive average pooling over an input signal composed of several input planes.
The output is of size H x W, for any input size. The number of output features is equal to the number of input planes.
Parameters
output_size – the target output size of the image of the form H x W. Can be a tuple (H, W) or a single H for a square image H x H. H and W can be either a int
, or None
which means the size will be the same as that of the input.
Examples
>>> # target output size of 5x7
>>> m = nn.AdaptiveAvgPool2d((5,7))
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