code: def configure_optimizers(self):
      return [
          optim.SGD(self.linear1.parameters(), lr=1e2),
          optim.SGD(self.linear2.parameters(), lr=1e2),
      ]
  
imports: import unittest
  from typing import List
  import pytorch_lightning
  import torch
  import torch.nn
  import torch.optim
  from reagent.reporting import CompoundReporter, ReporterBase
  from reagent.training import MultiStageTrainer, ReAgentLightningModule
  from torch.utils.data import DataLoader, TensorDataset
label_desc: Use image node_id 2 for calling the DummyTrainer obj's underlying member method code with example usage: obj.configure_optimizers() and returns: list