t3_sum

t3toolbox.backend.t3_operations.t3_sum(x, axis=None)

def t3_sum(
        x: typ.Tuple[
            typ.Tuple[NDArray, ...],  # tucker_cores. len=d, elm_shape=stack_shape+(ni,Ni)
            typ.Tuple[NDArray, ...],  # tt_cores.     len=d, elm_shape=stack_shape+(rLi,ni,rR(i+1))
        ],
        axis: typ.Union[int, typ.Sequence[int], None] = None,  # modes to sum (None -> all); negatives wrap
):  # -> T3 data tuple over the remaining modes, or a scalar NDArray (shape=stack_shape) if all modes summed

Sum over axes of TuckerTensorTrain.

Parameters:

• x (t3toolbox.backend.common.typ.Tuple[t3toolbox.backend.common.typ.Tuple[NDArray, Ellipsis], t3toolbox.backend.common.typ.Tuple[NDArray, Ellipsis]])

• axis (t3toolbox.backend.common.typ.Union[int, t3toolbox.backend.common.typ.Sequence[int], None])