map_range

torchhd.map_range(input: Tensor, in_min: float, in_max: float, out_min: float, out_max: float) → Tensor[source]

Maps the input real value range to an output real value range.

Note

Input values outside the min-max range are not clamped.

Parameters:

  • input (Tensor) – The values to map

  • in_min (float) – the minimum value of the input range

  • in_max (float) – the maximum value of the input range

  • out_min (float) – the minimum value of the output range

  • out_max (float) – the maximum value of the output range

Shapes:

  • Input: \((*)\)

  • Output: \((*)\)

Examples:

>>> x = torch.rand(2, 3)
>>> x
tensor([[0.2211, 0.1291, 0.3081],
        [0.7654, 0.2155, 0.4381]])
>>> functional.map_range(x, 0, 1, -10, 10)
tensor([[-5.5781, -7.4176, -3.8374],
        [ 5.3082, -5.6906, -1.2383]])