class_docstr: Network layers with biases should not be combined with normalization layers,
  as the bias makes normalization ineffective and can lead to unstable training.
  This verification detects such combinations.
class_docstr_tok: ["Network","layers","with","biases","should","not","be","combined","with","normalization","layers",",","as","the","bias","makes","normalization","ineffective","and","can","lead","to","unstable","training",".","This","verification","detects","such","combinations","."]
code: def destroy_hooks(self):
      for hook in self._hook_handles:
          hook.remove()
      self._hook_handles = []
  
file_path: allennlp/allennlp/confidence_checks/normalization_bias_verification.py
imports: import torch
  from torch import nn
  from typing import Tuple, List, Callable
  from allennlp.confidence_checks.verification_base import VerificationBase
  import logging
label_desc: Use image node_id 8 for calling the NormalizationBiasVerification obj's underlying member method code with example usage: obj.destroy_hooks() without return types