which the timesteps should be moved to. If None, the timesteps are not moved.    Sets the discrete timesteps used for the diffusion chain (to be run before inference).  step  < source > ( model_output: FloatTensor timestep: int sample: FloatTensor return_dict: bool = True  ) → SchedulerOutput or tuple  Parameters   model_output (torch.FloatTensor) —
The direct output from learned diffusion model.   timestep (int) —
The current discrete timestep