code: def register_trigger(self, evaluator: Evaluator):
      def optimizer_task():
          self.is_init = True
  
      evaluator.patch_optimizer_step(
          before_step_tasks=[], after_step_tasks=[optimizer_task]
      )
  
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 11 for calling the LsqQuantizer obj's underlying member method code with example usage: obj.register_trigger(evaluator) without return types