upsample_bilinear — PyTorch 2.7 documentation (original) (raw)

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

Upsamples the input, using bilinear upsampling.

Warning

This function is deprecated in favor oftorch.ao.nn.quantized.functional.interpolate(). This is equivalent withnn.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

• upsample_bilinear

  • upsample_bilinear