Logdet
Source:R/gen-namespace-docs.R, R/gen-namespace-examples.R, R/gen-namespace.R
torch_logdet.RdLogdet
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{} ]