code: def configure_optimizers(self):
      return torch.optim.Adam(self.parameters(), lr=self.learning_rate)
  
file_path: pytorch-lightning/tests/parity_pytorch/models.py
imports: import torch
  import torch.nn.functional
  from lightning.pytorch.core.module import LightningModule
  from lightning.pytorch.utilities.imports import _TORCHVISION_AVAILABLE
  from lightning.pytorch.utilities.model_helpers import get_torchvision_model
  from tests_pytorch import _PATH_DATASETS
  from torch.utils.data import DataLoader
label_desc: Use image node_id 3 for calling the ParityModuleCIFAR obj's underlying member method code with example usage: obj.configure_optimizers() and returns: torch