turned where the first element is the sample tensor.
  Predict the sample from the previous timestep by reversing the SDE. This function propagates the diffusion
process from the learned model outputs (most often the predicted noise).  DDPMSchedulerOutput  class diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput  < source > ( prev_sample: FloatTensor pred_original_sample: Optional = None  )   Parameters   prev_sample (torch.FloatTensor of