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.
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)
}
#> [[1]]
#> torch_tensor
#> (1,.,.) =
#> 1.2382 1.1533 1.0049
#> 0.1530 -1.5760 -0.8665
#> 0.6769 0.5781 0.9319
#>
#> (2,.,.) =
#> 1.3159 0.8053 0.3437
#> -0.1302 -0.5713 -0.4117
#> -0.4202 -0.0831 1.3330
#> [ CPUFloatType{2,3,3} ]
#>
#> [[2]]
#> torch_tensor
#> 1 2 3
#> 3 2 3
#> [ CPUIntType{2,3} ]
#>