torch_logdet {torch} | R Documentation |
Logdet
Description
Logdet
Usage
torch_logdet(self)
Arguments
self |
(Tensor) the input tensor of size |
logdet(input) -> Tensor
Calculates log determinant of a square matrix or batches of square matrices.
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.
Examples
if (torch_is_installed()) {
A = torch_randn(c(3, 3))
torch_det(A)
torch_logdet(A)
A
A$det()
A$det()$log()
}
[Package torch version 0.13.0 Index]