Pdist
Pdist
torch_pdist(self, p = 2L)
self |
NA input tensor of shape N \times M. |
p |
NA p value for the p-norm distance to calculate between each vector pair \in [0, ∞]. |
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[:, NULL] - input, dim=2, p=p). This function will be faster
if the rows are contiguous.
If input has shape N \times M then the output will have shape \frac{1}{2} N (N - 1).
This function is equivalent to scipy.spatial.distance.pdist(input, 'minkowski', p=p) if p \in (0, ∞). When p = 0 it is
equivalent to scipy.spatial.distance.pdist(input, 'hamming') * M.
When p = ∞, the closest scipy function is
scipy.spatial.distance.pdist(xn, lambda x, y: np.abs(x - y).max()).
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