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 (listofint) – the size of the sliding window

• stride (listofint, optional) – the stride of the sliding window

• padding (listofint, optional) – padding to be added on both sides, must be >= 0 and <= kernel_size / 2

• dilation (listofint, 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:

>>>qx=torch.quantize_per_tensor(torch.rand(2,2,2,2),1.5,3,torch.quint8)>>>torch.quantized_max_pool2d(qx,[2,2])tensor([[[[1.5000]],        [[1.5000]]],        [[[0.0000]],        [[0.0000]]]], size=(2, 2, 1, 1), dtype=torch.quint8,    quantization_scheme=torch.per_tensor_affine, scale=1.5, zero_point=3)