torch_lu {torch} | R Documentation |
LU
Description
Computes the LU factorization of a matrix or batches of matrices A. Returns a tuple containing the LU factorization and pivots of A. Pivoting is done if pivot is set to True.
Usage
torch_lu(A, pivot = TRUE, get_infos = FALSE, out = NULL)
Arguments
A |
(Tensor) the tensor to factor of size (, m, n)(,m,n) |
pivot |
(bool, optional) – controls whether pivoting is done. Default: TRUE |
get_infos |
(bool, optional) – if set to True, returns an info IntTensor. Default: FALSE |
out |
(tuple, optional) – optional output tuple. If get_infos is True, then the elements in the tuple are Tensor, IntTensor, and IntTensor. If get_infos is False, then the elements in the tuple are Tensor, IntTensor. Default: NULL |
Examples
if (torch_is_installed()) {
A <- torch_randn(c(2, 3, 3))
torch_lu(A)
}
[Package torch version 0.13.0 Index]