nnf_pdist: Pdist
In torch: Tensors and Neural Networks with 'GPU' Acceleration
nnf_pdist R Documentation
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, \infty].
Details
If input has shape N \times M then the output will have shape
\frac{1}{2} N (N - 1).
torch documentation built on May 29, 2024, 9:54 a.m.
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| nnf_pdist | R Documentation |
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 |
p |
p value for the p-norm distance to calculate between each vector pair
|
Details
If input has shape N \times M then the output will have shape
\frac{1}{2} N (N - 1).
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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