小白学Pytorch系列--Torch.nn API Shuffle Layers(16)

小白学Pytorch系列–Torch.nn API Shuffle Layers(16)

方法	注释
nn.ChannelShuffle	将形状为$(\ast ,C,H,W)$的张量中的通道划分为g组，并将它们重新排列为$(\ast ,C^g,g,H,W)$，同时保持原始张量形状。

nn.ChannelShuffle

>>> channel_shuffle = nn.ChannelShuffle(2)
>>> input = torch.randn(1, 4, 2, 2)
>>> print(input)
[[[[1, 2],
   [3, 4]],
  [[5, 6],
   [7, 8]],
  [[9, 10],
   [11, 12]],
  [[13, 14],
   [15, 16]],
 ]]
>>> output = channel_shuffle(input)
>>> print(output)
[[[[1, 2],
   [3, 4]],
  [[9, 10],
   [11, 12]],
  [[5, 6],
   [7, 8]],
  [[13, 14],
   [15, 16]],
 ]]