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).  TCDSchedulerOutput  class diffusers.schedulers.scheduling_tcd.TCDSchedulerOutput  < source > ( prev_sample: FloatTensor pred_noised_sample: Optional = None  )   Parameters   prev_sample (torch.FloatTensor of shape (batch_size, num_channels, height, width) for images) —
Computed 