t3_unstack
==========

.. py:function:: t3toolbox.backend.t3_operations.t3_unstack(x)

   .. code-block:: python

      def t3_unstack(
              x: typ.Tuple[typ.Sequence[NDArray], typ.Sequence[NDArray]],  # (tucker_cores, tt_cores), stacked
      ):  # -> array-like structure of nested tuples containing Tucker tensor trains (shape = stack_shape)


   Given multiple stacked T3s, this unstacks them
   into an array-like structure of nested tuples with the same "shape" as the stacking shape.