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adaptive_avg_pool2d#

class torch.ao.nn.quantized.functional.adaptive_avg_pool2d(input, output_size)[source]#

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 (None) – the target output size (single integer or double-integer tuple)

Return type

Tensor