tf.linalg.LinearOperatorToeplitz

TensorFlow 1 version

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Computes log of the determinant of a hermitian positive definite matrix.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.linalg.logdet

tf.linalg.logdet(
    matrix, name=None
)

# Compute the determinant of a matrix while reducing the chance of over- or
underflow:
A = ... # shape 10 x 10
det = tf.exp(tf.linalg.logdet(A))  # scalar

Args
`matrix`	A `Tensor`. Must be `float16`, `float32`, `float64`, `complex64`, or `complex128` with shape `[..., M, M]`.
`name`	A name to give this `Op`. Defaults to `logdet`.

Returns
The natural log of the determinant of `matrix`.

Numpy Compatibility

Equivalent to numpy.linalg.slogdet, although no sign is returned since only hermitian positive definite matrices are supported.

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tf.linalg / LinearOperatorToeplitz

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Args

Returns

Numpy Compatibility