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nnf_pdist

Pdist


Description

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, ∞].

Details

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


torch

Tensors and Neural Networks with 'GPU' Acceleration

v0.3.0
MIT + file LICENSE
Authors
Daniel Falbel [aut, cre, cph], Javier Luraschi [aut], Dmitriy Selivanov [ctb], Athos Damiani [ctb], Christophe Regouby [ctb], Krzysztof Joachimiak [ctb], RStudio [cph]
Initial release

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