t3_norm
=======

.. py:function:: t3toolbox.backend.t3_linalg.t3_norm(x, use_orthogonalization = True)

   .. code-block:: python

      def t3_norm(
              x: typ.Tuple[typ.Sequence[NDArray], typ.Sequence[NDArray]],  # (tucker_cores, tt_cores)
              use_orthogonalization: bool = True,  # for numerical stability
      ) -> NDArray:  # HS norm, shape=stack_shape (scalar if unstacked)


   Compute Hilbert-Schmidt norm of a Tucker tensor train.