code: def restore(self, model):
      self.optimizer = Optimizer()
      self.lr_scheduler = LRScheduler()
      self.optimizer.load_state_dict(model["optimizer"]),
      self.lr_scheduler.load_state_dict(
          model["lr_scheduler"], self.optimizer.optimizer
      )
      self.end_epoch = model["end_epoch"]
      self.is_converged = model["is_converged"]
      self.tol = model["tol"]
      self.early_stop = model["early_stop"]
      self.converge_func = converge_func_factory(
          self.early_stop, self.tol
      )
  
imports: import logging
  import torch
  from fate.arch import Context
  from fate.arch.dataframe import DataLoader
  from fate.ml.abc.module import HeteroModule
  from fate.ml.utils._convergence import converge_func_factory
  from fate.ml.utils._optimizer import LRScheduler, Optimizer, separate
label_desc: Use image node_id 4 for calling the CoordinatedLREstimatorArbiter obj's underlying member method code with example usage: obj.restore(model) without return types