Logdet

torch_logdet(self)

Arguments

self

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

Note

Result is `-inf` if `input` has zero log determinant, and is `NaN` if
`input` has negative determinant.
Backward through `logdet` internally uses SVD results when `input`
is not invertible. In this case, double backward through `logdet` will
be unstable in when `input` doesn't have distinct singular values. See
`~torch.svd` for details.

logdet(input) -> Tensor

Calculates log determinant of a square matrix or batches of square matrices.

Examples

if (torch_is_installed()) { A = torch_randn(c(3, 3)) torch_det(A) torch_logdet(A) A A$det() A$det()$log() }
#> torch_tensor #> -0.570386 #> [ CPUFloatType{} ]