torch.quantized_max_pool2d
torch.quantized_max_pool2d(input, kernel_size, stride=[], padding=0, dilation=1, ceil_mode=False) -> Tensor
Applies a 2D max pooling over an input quantized tensor composed of
   several input planes.
Parameters:
      * input (Tensor) -- quantized tensor
  * **kernel_size** ("list of int") -- the size of the sliding
    window

  * **stride** ("list of int", optional) -- the stride of the
    sliding window

  * **padding** ("list of int", optional) -- padding to be added
    on both sides, must be >= 0 and <= kernel_size / 2

  * **dilation** ("list of int", optional) -- The stride between
    elements within a sliding window, must be > 0. Default 1

  * **ceil_mode** (*bool**, **optional*) -- If True, will use ceil
    instead of floor to compute the output shape. Defaults to
    False.

Returns:
      A quantized tensor with max_pool2d applied.
Return type:
      Tensor
Example: