ensor.
  Predict the sample from the previous timestep by reversing the SDE. This function propagates the sample with
the Runge-Kutta method. It performs four forward passes to approximate the solution to the differential
equation.  SchedulerOutput  class diffusers.schedulers.scheduling_utils.SchedulerOutput  < source > ( prev_sample: FloatTensor  )   Parameters   prev_sample (torch.FloatTensor of shape (batch_size, num_channels, height, width)