torch_cdist function

Cdist

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 $\in [0, \infty]$.
• 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.