code: def test_lightning_model():
      """Test that DeepSpeed works with a simple LightningModule and LightningDataModule."""
  
      model = BoringModel()
      trainer = Trainer(
          strategy=DeepSpeedStrategy(),
          max_epochs=1,
          precision=16,
          gpus=1,
      )
      trainer.fit(model)
  
file_path: H2O/h2o_flexgen/benchmark/third_party/DeepSpeed/tests/lightning/test_simple.py
imports: import torch
  from pytorch_lightning import LightningModule, Trainer
  from pytorch_lightning.strategies import DeepSpeedStrategy
  from torch.utils.data import DataLoader, Dataset
label_desc: Use image node_id 1 for calling a global function with example usage: test_lightning_model() without return types