hamming_similarity

torchhd.hamming_similarity(input: VSATensor, others: VSATensor) → LongTensor[source]

Hamming similarity is the number of equal elements between the input vectors and each vector in others.

Parameters:

input (VSATensor) – hypervectors to compare against others
others (VSATensor) – hypervectors to compare with

Shapes:

Input: \((*, d)\)
Others: \((n, d)\) or \((d)\)
Output: \((*, n)\) or \((*)\), depends on shape of others

Examples:

>>> x = torchhd.random(3, 6)
>>> x
tensor([[ 1.,  1., -1., -1.,  1.,  1.],
        [ 1.,  1.,  1.,  1., -1., -1.],
        [ 1.,  1., -1., -1., -1.,  1.]])
>>> torchhd.hamming_similarity(x, x)
tensor([[6, 2, 5],
        [2, 6, 3],
        [5, 3, 6]])