Cdist
Cdist
torch_cdist(x1, x2, p = 2L, compute_mode = NULL)
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, ∞]. |
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. |
Computes batched the p-norm distance between each pair of the two collections of row vectors.
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