adaptive_avg_pool2d

class torch.nn.quantized.functional.adaptive_avg_pool2d(input, output_size)

Applies a 2D adaptive average pooling over a quantized input signal composed of several quantized input planes.

Note

The input quantization parameters propagate to the output.

See AdaptiveAvgPool2d for details and output shape.

Parameters

output_size – the target output size (single integer or double-integer tuple)