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Computes the p-norm distance between every pair of row vectors in the input. This is identical to the upper triangular portion, excluding the diagonal, of torch_norm(input[:, None] - input, dim=2, p=p). This function will be faster if the rows are contiguous.

Usage

nnf_pdist(input, p = 2)

Arguments

input

input tensor of shape \(N \times M\).

p

p value for the p-norm distance to calculate between each vector pair \(\in [0, \infty]\).

Details

If input has shape \(N \times M\) then the output will have shape \(\frac{1}{2} N (N - 1)\).