torch_slogdet: Slogdet

In torch: Tensors and Neural Networks with 'GPU' Acceleration

Slogdet

Description

Slogdet

Usage

torch_slogdet(self)

Arguments

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

slogdet(input) -> (Tensor, Tensor)

Calculates the sign and log absolute value of the determinant(s) of a square matrix or batches of square matrices.

Note

If `input` has zero determinant, this returns `(0, -inf)`.

Backward through `slogdet` internally uses SVD results when `input`
is not invertible. In this case, double backward through `slogdet`
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))
A
torch_det(A)
torch_logdet(A)
torch_slogdet(A)
}

torch documentation built on May 29, 2024, 9:54 a.m.