linalg_det: Computes the determinant of a square matrix.

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

Computes the determinant of a square matrix.

Description

Supports input of float, double, cfloat and cdouble dtypes. Also supports batches of matrices, and if A is a batch of matrices then the output has the same batch dimensions.

Usage

linalg_det(A)

Arguments

A	(Tensor): tensor of shape ⁠(*, n, n)⁠ where * is zero or more batch dimensions.

See Also

Other linalg: linalg_cholesky_ex(), linalg_cholesky(), linalg_eigh(), linalg_eigvalsh(), linalg_eigvals(), linalg_eig(), linalg_householder_product(), linalg_inv_ex(), linalg_inv(), linalg_lstsq(), linalg_matrix_norm(), linalg_matrix_power(), linalg_matrix_rank(), linalg_multi_dot(), linalg_norm(), linalg_pinv(), linalg_qr(), linalg_slogdet(), linalg_solve(), linalg_svdvals(), linalg_svd(), linalg_tensorinv(), linalg_tensorsolve(), linalg_vector_norm()

Examples

if (torch_is_installed()) {
a <- torch_randn(3, 3)
linalg_det(a)

a <- torch_randn(3, 3, 3)
linalg_det(a)
}

torch documentation built on June 7, 2023, 6:19 p.m.