code: def _fuse_preprocess(self, evaluator: Evaluator) -> None:
      module_name_param_dict = self.patch_optimizer_param_group()
      if len(module_name_param_dict) > 0:
          evaluator.patch_optim_param_group(module_name_param_dict)
      self.register_trigger(evaluator)
  
imports: from __future__ import annotations
  import logging
  from typing import List, Dict, overload
  import torch
  from torch import Tensor
  from ..base.compressor import Compressor, Quantizer
  from ..base.wrapper import ModuleWrapper
  from ..utils import Evaluator, _EVALUATOR_DOCSTRING
  from ..base.target_space import TargetType
label_desc: Use image node_id 13 for calling the LsqQuantizer obj's underlying member method code with example usage: obj._fuse_preprocess(evaluator) without return types