Det

Det

Usage

torch_det(self)

Arguments

self

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

Note

Backward through `det` internally uses SVD results when `input` is
not invertible. In this case, double backward through `det` will be
unstable in when `input` doesn't have distinct singular values. See
`~torch.svd` for details.

det(input) -> Tensor

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

Examples

if (torch_is_installed()) {

A = torch_randn(c(3, 3))
torch_det(A)
A = torch_randn(c(3, 2, 2))
A
A$det()
}
#> torch_tensor
#> -0.1028
#> -1.4062
#>  0.1581
#> [ CPUFloatType{3} ]