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,.,.) =
#> 1.1460 0.4360 -0.4455
#> -0.3960 1.3971 -0.0626
#> 0.3978 -0.1989 1.3969
#>
#> (2,.,.) =
#> 0.6369 -0.8841 0.4550
#> -0.1633 -1.6664 0.9471
#> -0.3144 0.0130 -0.4004
#> [ CPUFloatType{2,3,3} ]
#>
#> [[2]]
#> torch_tensor
#> 1 3 3
#> 2 2 3
#> [ CPUIntType{2,3} ]
#>