max_pool2d

class torch.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.