class_docstr: A base class for training hooks in PyTorch.
  
  This class provides a template for implementing custom training hooks
  that can be activated, deactivated, and maintain a handle to the hook.
  
  Attributes:
      _hook_handle (Optional[torch.utils.hooks.RemovableHandle]): A handle to the
          registered forward hook, initially set to None.
docstr: Deactivates and removes the training hook.
docstr_tok: ["Deactivates","and","removes","the","training","hook","."]
code: def deactivate_hook(self):
      """Deactivates and removes the training hook."""
      if self._hook_handle is not None:
          self._hook_handle.remove()
          self._hook_handle = None
  
file_path: ludwig/ludwig/modules/training_hooks.py
imports: import logging
  from abc import ABC, abstractmethod
  import torch
label_desc: Use image node_id 4 for calling the TrainingHook obj's underlying member method code with example usage: obj.deactivate_hook() without return types