# tf.linalg.slogdet

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


Defined in tensorflow/python/ops/gen_linalg_ops.py.

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

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: 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.