t3toolbox.backend.tucker_tensor_train.ragged_tensor_linalg.t3_add

t3toolbox.backend.tucker_tensor_train.ragged_tensor_linalg.t3_add(x: t3toolbox.backend.common.typ.Tuple[t3toolbox.backend.common.typ.Sequence[t3toolbox.backend.common.NDArray], t3toolbox.backend.common.typ.Sequence[t3toolbox.backend.common.NDArray]], y: t3toolbox.backend.common.typ.Tuple[t3toolbox.backend.common.typ.Sequence[t3toolbox.backend.common.NDArray], t3toolbox.backend.common.typ.Sequence[t3toolbox.backend.common.NDArray]], squash: bool = True, use_jax: bool = False) → t3toolbox.backend.common.typ.Tuple[t3toolbox.backend.common.typ.Tuple[t3toolbox.backend.common.NDArray], t3toolbox.backend.common.typ.Tuple[t3toolbox.backend.common.NDArray]]

Add Tucker tensor trains x and y, yielding a Tucker tensor train with summed ranks.