tf.linalg.logdet( matrix, name=None )
Computes log of the determinant of a hermitian positive definite matrix.
# Compute the determinant of a matrix while reducing the chance of over- or underflow: A = ... # shape 10 x 10 det = tf.exp(tf.logdet(A)) # scalar
Tensor. Must be
[..., M, M].
name: A name to give this
Op. Defaults to
The natural log of the determinant of
Equivalent to numpy.linalg.slogdet, although no sign is returned since only hermitian positive definite matrices are supported.