le before the last predictor: x_{t-1}


this_sample (torch.FloatTensor) — the generated sample after the last predictor: x_{t}


order (int) — the p of UniC-p at this step. Note that the effective order of accuracy
should be order + 1


Returns

torch.FloatTensor



the corrected sample tensor at the current timestep.


One step for the UniC (B(h) version).

multistep_uni_p_bh_update

<
source
>
(
model_output: FloatTensor
prev_timestep: int
sa