ample tensor at the previous timestep.
  One step for the UniP (B(h) version). Alternatively, self.solver_p is used if is specified.  scale_model_input  < source > ( sample: FloatTensor *args **kwargs  ) → torch.FloatTensor  Parameters   sample (torch.FloatTensor) —
The input sample.   Returns 
torch.FloatTensor
  
A scaled input sample.
  Ensures interchangeability with schedulers that need to scale the denoising model input depending on the
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