code: def state_dict(self):
      return {
          "lr_scheduler": self.lr_scheduler.state_dict(),
          "method": self.method,
          "lr_params": self.lr_params,
      }
  
imports: import logging
  import numpy
  import torch
label_desc: Use image node_id 5 for calling the LRScheduler obj's underlying member method code with example usage: obj.state_dict() and returns: dict