code: def _fuse_preprocess(self, evaluator: Evaluator):
      self._register_loss_patch(evaluator)
  
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 13 for calling the TeacherModelBasedDistiller obj's underlying member method code with example usage: obj._fuse_preprocess(evaluator) without return types