torch.nn.functional.upsample_bilinear
torch.nn.functional.upsample_bilinear(input, size=None, scale_factor=None)
Upsamples the input, using bilinear upsampling.
Warning:
 This function is deprecated in favor of
 "torch.nn.functional.interpolate()". This is equivalent with
 "nn.functional.interpolate(..., mode='bilinear',
 align_corners=True)".

Expected inputs are spatial (4 dimensional). Use
   upsample_trilinear fo volumetric (5 dimensional) inputs.
Parameters:
      * input (Tensor) -- input
  * **size** (*int** or **Tuple**[**int**, **int**]*) -- output
    spatial size.

  * **scale_factor** (*int** or **Tuple**[**int**, **int**]*) --
    multiplier for spatial size

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