upsample_bilinear

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

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