code: def load_state_dict(self, dict, optimizer):
      self.method = dict["method"]
      self.lr_params = dict["lr_params"]
      self.init_scheduler(optimizer)
      self.lr_scheduler.load_state_dict(dict["lr_scheduler"])
  
imports: import logging
  import numpy
  import torch
label_desc: Use image node_id 6 for calling the LRScheduler obj's underlying member method code with example usage: obj.load_state_dict(dict, optimizer) without return types