class_docstr: The abstract class for a corrector algorithm.
class_docstr_tok: ["The","abstract","class","for","a","corrector","algorithm","."]
code: def __init__(self, sde, score_fn, snr, n_steps):
      super().__init__()
      self.rsde = sde.reverse(score_fn)
      self.score_fn = score_fn
      self.snr = snr
      self.n_steps = n_steps
  
file_path: espnet/espnet2/enh/diffusion/sampling/correctors.py
imports: import abc
  import torch
  import espnet2.enh.diffusion.sdes
label_desc: Use image node_id 1 to create a new Corrector object from inherited base classes: abc with example: obj = Corrector(sde, score_fn, snr, n_steps)