Cdist

Usage

torch_cdist(x1, x2, p = 2L, compute_mode = NULL)

Arguments

x1

(Tensor) input tensor of shape $B\times P\times M$.

x2

(Tensor) input tensor of shape $B\times R\times M$.

p

NA p value for the p-norm distance to calculate between each vector pair $\in [0,\mathrm{\infty }]$.

compute_mode

NA 'use_mm_for_euclid_dist_if_necessary' - will use matrix multiplication approach to calculate euclidean distance (p = 2) if P > 25 or R > 25 'use_mm_for_euclid_dist' - will always use matrix multiplication approach to calculate euclidean distance (p = 2) 'donot_use_mm_for_euclid_dist' - will never use matrix multiplication approach to calculate euclidean distance (p = 2) Default: use_mm_for_euclid_dist_if_necessary.

TEST

Computes batched the p-norm distance between each pair of the two collections of row vectors.