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,.,.) =
#> 1.6726 -1.3966 -1.2347
#> -0.4146 -1.6217 -0.9158
#> -0.0895 -0.1956 0.2045
#>
#> (2,.,.) =
#> -1.6272 0.0620 -2.1875
#> -0.7631 2.4219 -0.9228
#> 0.6487 -0.2406 -0.4708
#> [ CPUFloatType{2,3,3} ]
#>
#> [[2]]
#> torch_tensor
#> 2 3 3
#> 2 2 3
#> [ CPUIntType{2,3} ]
#>