# torch.nn.functional.pixel_shuffle¶

torch.nn.functional.pixel_shuffle(input, upscale_factor)

Rearranges elements in a tensor of shape $(*, C \times r^2, H, W)$ to a tensor of shape $(*, C, H \times r, W \times r)$, where r is the upscale_factor.

See PixelShuffle for details.

Parameters:
• input (Tensor) – the input tensor

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

Examples:

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