docstr: Activates the neftune as presented in this code and paper:
  
  Code: https://github.com/neelsjain/NEFTune
  Paper: https://arxiv.org/abs/2310.05914
  
  Args:
      module (nn.Module): The PyTorch module for which the hook is activated.
  
  Returns:
      nn.Module: The input module with the training hook activated.
docstr_tok: ["Activates","the","neftune","as","presented","in","this","code","and","paper",":","Code",":","https",":","\/\/github.com\/neelsjain\/NEFTune","Paper",":","https",":","\/\/arxiv.org\/abs\/2310.05914","Args",":","module","(","nn.Module",")",":","The","PyTorch","module","for","which","the","hook","is","activated",".","Returns",":","nn.Module",":","The","input","module","with","the","training","hook","activated","."]
code: def activate_hook(self, module: torch.nn.Module) -> torch.nn.Module:
      """Activates the neftune as presented in this code and paper:
  
      Code: https://github.com/neelsjain/NEFTune
      Paper: https://arxiv.org/abs/2310.05914
  
      Args:
          module (nn.Module): The PyTorch module for which the hook is activated.
  
      Returns:
          nn.Module: The input module with the training hook activated.
      """
      from peft import PeftModel
  
      if isinstance(module, PeftModel):
          embeddings = module.base_model.model.get_input_embeddings()
      else:
          embeddings = module.get_input_embeddings()
  
      embeddings.neftune_noise_alpha = self.neftune_noise_alpha
      self._hook_handle = embeddings.register_forward_hook(self.hook_fn)
  
      return module
  
file_path: ludwig/ludwig/modules/training_hooks.py
imports: import logging
  from abc import ABC, abstractmethod
  import torch
label_desc: Use image node_id 3 for calling the NEFTuneHook obj's underlying member method code with example usage: obj.activate_hook(module) and returns: module