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torch.nn.functional.pixel_unshuffle#

torch.nn.functional.pixel_unshuffle(input, downscale_factor) Tensor#

Reverses the PixelShuffle operation by rearranging elements in a tensor of shape (,C,H×r,W×r)(*, C, H \times r, W \times r) to a tensor of shape (,C×r2,H,W)(*, C \times r^2, H, W), where r is the downscale_factor.

See PixelUnshuffle for details.

Parameters
  • input (Tensor) – the input tensor

  • downscale_factor (int) – factor to increase spatial resolution by

Examples:

>>> input = torch.randn(1, 1, 12, 12)
>>> output = torch.nn.functional.pixel_unshuffle(input, 3)
>>> print(output.size())
torch.Size([1, 9, 4, 4])