tf.linalg.logdet

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

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.linalg.logdet, `tf.compat.v2.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.