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# torch.nn.functional.upsample_nearest

torch.nn.functional.upsample_nearest(input, size=None, scale_factor=None)

  Upsamples the input, using nearest neighbours’ pixel values.

  Warning

  This function is deprecated in favor of `torch.nn.functional.interpolate()`. This is equivalent with `nn.functional.interpolate(..., mode='nearest')`.

  Currently spatial and volumetric upsampling are supported (i.e. expected inputs are 4 or 5 dimensional).

  Parameters:

    - input (Tensor) – input

    - size (int or Tuple[int, int] or Tuple[int, int, int]) – output spatia size.

    - scale_factor (int) – multiplier for spatial size. Has to be an integer.

  Note

  This operation may produce nondeterministic gradients when given tensors on a CUDA device. See Reproducibility for more information.

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