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# tfp.math.hpsd_logdet

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Computes `log|det(matrix)|`, where `matrix` is a HPSD matrix.

Given `matrix` computes `log|det(matrix)|`, where `matrix` is Hermitian positive Semi-definite matrix.

`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`.

`hpsd_logdet` Scalar `Tensor`, retaining the batch shape of `matrix`.

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