message: Fix by updating linalg_ops.py
  Fix by replacing the circular reference to eigvalsh, with eigh, which also returns two outputs
diff: @@ -335,7 +335,7 @@ def self_adjoint_eigvals(tensor, name=None):
  """Computes the eigenvalues of one or more self-adjoint matrices.
  Note: If your program backpropagates through this function, you should replace
  - it with a call to tf.linalg.eigvalsh (possibly ignoring the second output) to
  + it with a call to tf.linalg.eigh (possibly ignoring the second output) to
  avoid computing the eigen decomposition twice. This is because the
  eigenvectors are used to compute the gradient w.r.t. the eigenvalues. See
  _SelfAdjointEigV2Grad in linalg_grad.py.
  