code: def configure_optimizers(self):
      return torch.optim.Adam(self.parameters(), lr=0.02)
  
imports: import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  from lightning.pytorch.core.module import LightningModule
  from torch.utils.data import DataLoader
  from tests_pytorch import _PATH_DATASETS
  from tests_pytorch.helpers.datasets import MNIST, AverageDataset, TrialMNIST
label_desc: Use image node_id 4 for calling the ParityModuleRNN obj's underlying member method code with example usage: obj.configure_optimizers() and returns: torch