t3_mult#
- t3toolbox.backend.t3_linalg.t3_mult(x, y)#
def t3_mult( x: typ.Tuple[typ.Sequence[NDArray], typ.Sequence[NDArray]], # (tucker_cores_x, tt_cores_x) y: typ.Tuple[typ.Sequence[NDArray], typ.Sequence[NDArray]], # (tucker_cores_y, tt_cores_y) ) -> typ.Tuple[ typ.Tuple[NDArray, ...], # x_times_y tucker_cores typ.Tuple[NDArray, ...], # x_times_y tt_cores ]:
Pointwise multiply Tucker tensor trains x and y, yielding a Tucker tensor train with multiplied ranks.
This is the conventional “dumb” algorithm which does not do intermediate rank truncation. Ideally, we should also implement the newer “TTM” algorithm at some point.