code: def _register_teacher_wrappers(self):
      link2targets = defaultdict(set)
      teacher_config_list = []
      for _, ts in self._target_spaces.items():
          for target_name, target_space in ts.items():
              for link in target_space.link:
                  link2targets[link].add(target_name)
      teacher_config_list = [
          {"op_names": [link], "target_names": list(target_names)}
          for link, target_names in link2targets.items()
      ]
      return register_wrappers(
          self.teacher_model, teacher_config_list, mode=self.mode
      )
  
imports: from __future__ import annotations
  from collections import defaultdict
  import logging
  from typing import Any, Callable, Dict, List, overload
  import torch
  import torch.nn.functional
  from torch.utils._pytree import tree_map
  from ..base.compressor import Compressor, Distiller, _DISTILLATION_TARGET_SPACES
  from ..base.wrapper import ModuleWrapper, register_wrappers
  from ..utils import Evaluator, _EVALUATOR_DOCSTRING
label_desc: Use image node_id 7 for calling the TeacherModelBasedDistiller obj's underlying member method code with example usage: obj._register_teacher_wrappers() and returns: register_wrappers