Logdet

Logdet

Usage

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
#> nan
#> [ CPUFloatType{} ]