t3_kronecker_weights
====================

.. py:function:: t3toolbox.backend.t3_operations.t3_kronecker_weights(weights_A, weights_B)

   .. code-block:: python

      def t3_kronecker_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, ...],  # Kronecker tucker_weights, ranks multiply
          typ.Tuple[NDArray, ...],  # Kronecker tt_weights,     ranks multiply
      ]:


   Per-edge Kronecker product of two weight tuples (the Hadamard ``*`` combine: ranks multiply). The
   weights of ``A ⊙ B`` (elementwise product of the represented tensors) are the Kronecker products of the
   edge weights (verified). This is a **last-axis outer product broadcasting the shared ``C`` stack** --
   ``(wA ⊗ wB)[..., a*rB + b] = wA[..., a]·wB[..., b]`` (A-major) -- **not** ``np.kron`` (which would
   Kronecker the stack axes too). The A-major order must match the Hadamard core-combine's.