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.

Args