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torch.quantized_max_pool1d#

torch.quantized_max_pool1d(input,kernel_size,stride=[],padding=0,dilation=1,ceil_mode=False)→Tensor#

Applies a 1D max pooling over an input quantized tensor composed of several input planes.

Parameters

  • input (Tensor) – quantized tensor

  • kernel_size (list ofint) – 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_pool1d applied.

Return type

Tensor

Example:

>>>qx=torch.quantize_per_tensor(torch.rand(2,2),1.5,3,torch.quint8)>>>torch.quantized_max_pool1d(qx,[2])tensor([[0.0000],        [1.5000]], size=(2, 1), dtype=torch.quint8,    quantization_scheme=torch.per_tensor_affine, scale=1.5, zero_point=3)