tfp.math.hpsd_logdet | TensorFlow Probability (original) (raw)
tfp.math.hpsd_logdet
Computes log|det(matrix)|, where matrix is a HPSD matrix.
tfp.math.hpsd_logdet(
matrix, cholesky_matrix=None
)
Given matrix computes log|det(matrix)|, where matrix is Hermitian positive Semi-definite matrix.
| Args | |
|---|---|
| matrix | Floating-point Tensor of shape [..., N, N]. Represents a Hermitian positive semi-definite matrix. |
| cholesky_matrix | (Optional) Floating-point Tensor of shape [..., N, N]that represents a Cholesky factor of matrix. |
| Returns | |
|---|---|
| hpsd_logdet | Scalar Tensor, retaining the batch shape of matrix. |
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Last updated 2023-11-21 UTC.