ch.FloatTensor) —
The generated sample 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. 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: FloatT