code: def register_lsq_apply_method(self):
      for _, ts in self._target_spaces.items():
          for _, target_space in ts.items():
              target_space.apply_method = "lsq_clamp_round"
  
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 8 for calling the LsqQuantizer obj's underlying member method code with example usage: obj.register_lsq_apply_method() without return types