tf.linalg.slogdet

Computes the sign and the log of the absolute value of the determinant of

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.linalg.slogdet, `tf.compat.v2.linalg.slogdet`

tf.linalg.slogdet(
    input, name=None
)

one or more square matrices.

The input is a tensor of shape [N, M, M] whose inner-most 2 dimensions form square matrices. The outputs are two tensors containing the signs and absolute values of the log determinants for all N input submatrices [..., :, :] such that the determinant = signexp(log_abs_determinant). The log_abs_determinant is computed as det(P)sum(log(diag(LU))) where LU is the LU decomposition of the input and P is the corresponding permutation matrix.

Args
input	A Tensor. Must be one of the following types: half, float32, float64, complex64, complex128. Shape is [N, M, M].
name	A name for the operation (optional).

Returns
A tuple of Tensor objects (sign, log_abs_determinant).
sign	A Tensor. Has the same type as input.
log_abs_determinant	A Tensor. Has the same type as input.