Slogdet

torch_slogdet(self)

Arguments

self

(Tensor) the input tensor of size (*, n, n) where * is zero or more batch dimensions.

Note

If `input` has zero determinant, this returns `(0, -inf)`.
Backward through `slogdet` internally uses SVD results when `input`
is not invertible. In this case, double backward through `slogdet`
will be unstable in when `input` doesn't have distinct singular values.
See `~torch.svd` for details.

slogdet(input) -> (Tensor, Tensor)

Calculates the sign and log absolute value of the determinant(s) of a square matrix or batches of square matrices.

Examples

if (torch_is_installed()) { A = torch_randn(c(3, 3)) A torch_det(A) torch_logdet(A) torch_slogdet(A) }
#> [[1]] #> torch_tensor #> -1 #> [ CPUFloatType{} ] #> #> [[2]] #> torch_tensor #> 0.372548 #> [ CPUFloatType{} ] #>