r at the current timestep.
  One step for the UniC (B(h) version).  multistep_uni_p_bh_update  < source > ( model_output: FloatTensor *args sample: FloatTensor = None order: int = None **kwargs  ) → torch.FloatTensor  Parameters   model_output (torch.FloatTensor) —
The direct output from the learned diffusion model at the current timestep.   prev_timestep (int) —
The previous discrete timestep in the diffusion chain.   sample (torch.FloatTensor