description: Computes the sign and the log of the absolute value of the determinant of
Computes the sign and the log of the absolute value of the determinant of
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 determinant = sign*exp(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.
|