max_pool2d
class torch.ao.nn.quantized.functional.max_pool2d(input, kernel_size, stride=None, padding=0, dilation=1, ceil_mode=False, return_indices=False)
Applies a 2D max pooling over a quantized input signal composed of
   several quantized input planes.
Note:
 The input quantization parameters are propagated to the output.

See "MaxPool2d" for details.