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,.,.) =
#> 0.3834 0.6801 -1.2962
#> 0.1962 -0.7595 1.2475
#> -0.8721 -0.6387 0.5538
#>
#> (2,.,.) =
#> -2.8596 -0.3844 1.0102
#> 0.7906 -0.3574 -1.2487
#> -0.4587 0.5223 1.4304
#> [ CPUFloatType{2,3,3} ]
#>
#> [[2]]
#> torch_tensor
#> 2 3 3
#> 2 3 3
#> [ CPUIntType{2,3} ]
#>