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 -0.4320 -2.0134
#> -0.4316 1.9271 -0.9257
#> 0.0244 0.7040 1.4832
#>
#> (2,.,.) =
#> 0.7586 0.9378 -0.2253
#> -0.9324 2.6108 -0.2965
#> -0.5302 -0.0478 1.4328
#> [ CPUFloatType{2,3,3} ]
#>
#> [[2]]
#> torch_tensor
#> 1 3 3
#> 3 3 3
#> [ CPUIntType{2,3} ]
#>