code: def configure_optimizers(self):
      return torch.optim.Adam(
          self.parameters(), lr=self.hparams.learning_rate
      )
  
file_path: pytorch-lightning/examples/pytorch/ipu/mnist_sample.py
imports: import torch
  from lightning.pytorch import LightningModule, Trainer
  from lightning.pytorch.demos.mnist_datamodule import MNISTDataModule
  from torch.nn import functional
label_desc: Use image node_id 9 for calling the LitClassifier obj's underlying member method code with example usage: obj.configure_optimizers() and returns: torch