ut3_apply

t3toolbox.backend.ut3_sampling.ut3_apply(data, vecs)

def ut3_apply(
        data: UT3Data,
        vecs: typ.Sequence[NDArray],  # len=d, ith elm_shape=vec_stack+(Ni,)
) -> NDArray:                         # shape=vec_stack+stack_shape

Contract a uniform Tucker tensor train with vectors in all modes (shares apply.t3_apply). Vectors are zero-padded to N.

Parameters:

• data (UT3Data)

• vecs (t3toolbox.backend.common.typ.Sequence[NDArray])

Return type:

NDArray