t3_concatenate_weights
======================

.. py:function:: t3toolbox.backend.t3_operations.t3_concatenate_weights(weights_A, weights_B)

   .. code-block:: python

      def t3_concatenate_weights(
              weights_A: typ.Tuple[typ.Sequence[NDArray], typ.Sequence[NDArray]],  # (tucker_weights, tt_weights)
              weights_B: typ.Tuple[typ.Sequence[NDArray], typ.Sequence[NDArray]],  # (tucker_weights, tt_weights)
      ) -> typ.Tuple[
          typ.Tuple[NDArray, ...],  # concatenated tucker_weights, ranks add
          typ.Tuple[NDArray, ...],  # concatenated tt_weights,     ranks add
      ]:


   Per-edge concatenation of two weight tuples (the ``+`` / direct-sum combine: ranks add). Last-axis
   ``concatenate``; the shared ``C`` stack rides along. Same-length, same-stack tuples assumed.