code: def configure_optimizers(self):
      optimizers = []
      optimizers.append(
          self.optimizer.make_optimizer_scheduler(
              self.reward_net.parameters()
          )
      )
      return optimizers
  
imports: import logging
  from enum import Enum
  from typing import Optional
  import numpy
  import reagent.core.types
  import torch
  from reagent.core.dataclasses import field
  from reagent.models.base import ModelBase
  from reagent.optimizer.union import Optimizer__Union
  from reagent.training.reagent_lightning_module import ReAgentLightningModule
label_desc: Use image node_id 2 for calling the RewardNetTrainer obj's underlying member method code with example usage: obj.configure_optimizers() and returns: optimizers