T3Frame.random_orthogonal
=========================

.. py:method:: t3toolbox.frame_variations_format.T3Frame.random_orthogonal(shape, tucker_ranks, tt_ranks, stack_shape = (), use_jax = False)
   :staticmethod:


   .. code-block:: python

      def random_orthogonal(
              shape:          typ.Sequence[int],              # (N0,...,N(d-1))
              tucker_ranks:   typ.Sequence[int],              # (n0,...,n(d-1))
              tt_ranks:       typ.Sequence[int],              # (1,r1,...,r(d-1),1)
              stack_shape:    typ.Tuple[int, ...] = (),       # C (frame/core stack)
              use_jax:        bool = False,
      ) -> 'T3Frame':


   Orthogonal representation of a *random* T3 -- a genuine random base point (orthogonal,
   consistent), **not** iid-random cores. Equals ``from_t3(TuckerTensorTrain.randn(...))``.