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
