Slogdet

Slogdet

Usage

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
#> 0.240458
#> [ CPUFloatType{} ]
#>