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.
nnf_pdist(input, p = 2)input tensor of shape \(N \times M\).
p value for the p-norm distance to calculate between each vector pair \(\in [0, \infty]\).
If input has shape \(N \times M\) then the output will have shape \(\frac{1}{2} N (N - 1)\).