code: def register_track_func(self):
      for module_name, _ in self._target_spaces.items():
          wrapper = self._module_wrappers[module_name]
          wrapper.register_track_func(self.track_min_max_val)
  
imports: from __future__ import annotations
  from typing import List, Dict, Union, overload
  import torch
  from torch import Tensor
  from ..base.compressor import Compressor, Quantizer
  from ..base.wrapper import ModuleWrapper
  from ..base.target_space import QuantizationTargetSpace
  from ..utils import Evaluator, _EVALUATOR_DOCSTRING
label_desc: Use image node_id 6 for calling the PtqQuantizer obj's underlying member method code with example usage: obj.register_track_func() without return types