tf.raw_ops.LogMatrixDeterminant | TensorFlow v2.16.1 (original) (raw)
tf.raw_ops.LogMatrixDeterminant
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Computes the sign and the log of the absolute value of the determinant of
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tf.compat.v1.raw_ops.LogMatrixDeterminant
tf.raw_ops.LogMatrixDeterminant(
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 LUis 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. |