normalize

torchhd.normalize(input: VSATensor) → VSATensor[source]

Normalize the input hypervectors.

Parameters:: input (Tensor) – input tensor

Shapes:

Input: \((*)\)
Output: \((*)\)

Examples:

>>> x = torchhd.random(4, 10, "MAP").multibundle()
>>> x
MAPTensor([ 0.,  0., -2., -2.,  2., -2.,  2.,  2.,  2.,  0.])
>>> torchhd.normalize(x)
MAPTensor([-1., -1., -1., -1.,  1., -1.,  1.,  1.,  1., -1.])

>>> x = torchhd.random(4, 10, "HRR").multibundle()
>>> x
HRRTensor([-0.2999,  0.4686,  0.1797, -0.4830,  0.2718, -0.3663,  0.3079, 0.2558, -1.5157, -0.5196])
>>> torchhd.normalize(x)
HRRTensor([-0.1601,  0.2501,  0.0959, -0.2578,  0.1451, -0.1955,  0.1643, 0.1365, -0.8089, -0.2773])