pytorch / 2 / generated / torch.ao.nn.quantized.functional.upsample_bilinear.html

upsample_bilinear

class torch.ao.nn.quantized.functional.upsample_bilinear(input, size=None, scale_factor=None) [source]

Upsamples the input, using bilinear upsampling.

Warning

This function is deprecated in favor of torch.ao.nn.quantized.functional.interpolate(). This is equivalent with nn.quantized.functional.interpolate(..., mode='bilinear', align_corners=True).

Note

The input quantization parameters propagate to the output.

Note

Only 2D inputs are supported

Parameters
  • input (Tensor) – quantized input
  • size (int or Tuple[int, int]) – output spatial size.
  • scale_factor (int or Tuple[int, int]) – multiplier for spatial size

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https://pytorch.org/docs/2.1/generated/torch.ao.nn.quantized.functional.upsample_bilinear.html