|TensorFlow 1 version|
Computes the matrix logarithm of one or more square matrices:
tf.linalg.logm( input, name=None )
\(log(exp(A)) = A\)
This op is only defined for complex matrices. If A is positive-definite and real, then casting to a complex matrix, taking the logarithm and casting back to a real matrix will give the correct result.
This function computes the matrix logarithm using the Schur-Parlett algorithm. Details of the algorithm can be found in Section 11.6.2 of: Nicholas J. Higham, Functions of Matrices: Theory and Computation, SIAM 2008. ISBN 978-0-898716-46-7.
The input is a tensor of shape
[..., M, M] whose inner-most 2 dimensions
form square matrices. The output is a tensor of the same shape as the input
containing the exponential for all input submatrices
[..., :, :].
Tensor. Must be one of the following types:
complex128. Shape is
[..., M, M].
name: A name for the operation (optional).
Tensor. Has the same type as