code: def __init__(self, sde, score_fn, probability_flow=False):
      super().__init__(sde, score_fn, probability_flow=probability_flow)
  
file_path: espnet/espnet2/enh/diffusion/sampling/predictors.py
imports: import abc
  import numpy
  import torch
label_desc: Use image node_id 1 to create a new ReverseDiffusionPredictor object from inherited base classes: Predictor with example: obj = ReverseDiffusionPredictor(sde, score_fn, probability_flow)