nnf_pairwise_distance: Pairwise_distance
In torch: Tensors and Neural Networks with 'GPU' Acceleration
nnf_pairwise_distance R Documentation
Pairwise_distance
Description
Computes the batchwise pairwise distance between vectors using the p-norm.
Usage
nnf_pairwise_distance(x1, x2, p = 2, eps = 1e-06, keepdim = FALSE)
Arguments
x1
(Tensor) First input.
x2
(Tensor) Second input (of size matching x1).
p
the norm degree. Default: 2
eps
(float, optional) Small value to avoid division by zero.
Default: 1e-8
keepdim
Determines whether or not to keep the vector dimension. Default: False
torch documentation built on May 29, 2024, 9:54 a.m.
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| nnf_pairwise_distance | R Documentation |
Pairwise_distance
Description
Computes the batchwise pairwise distance between vectors using the p-norm.
Usage
nnf_pairwise_distance(x1, x2, p = 2, eps = 1e-06, keepdim = FALSE)
Arguments
x1 |
(Tensor) First input. |
x2 |
(Tensor) Second input (of size matching x1). |
p |
the norm degree. Default: 2 |
eps |
(float, optional) Small value to avoid division by zero. Default: 1e-8 |
keepdim |
Determines whether or not to keep the vector dimension. Default: False |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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