code: def test_get_model_gpu(tmpdir, accelerator):
      """Tests that `trainer.lightning_module` extracts the model correctly when using GPU."""
      model = TrainerGetModel()
  
      limit_train_batches = 2
      trainer = Trainer(
          default_root_dir=tmpdir,
          limit_train_batches=limit_train_batches,
          limit_val_batches=2,
          max_epochs=1,
          accelerator=accelerator,
          devices=1,
      )
      trainer.fit(model)
  
file_path: pytorch-lightning/tests/tests_pytorch/trainer/properties/test_get_model.py
imports: import pytest
  from lightning.pytorch import Trainer
  from lightning.pytorch.demos.boring_classes import BoringModel
  from tests_pytorch.helpers.runif import RunIf
label_desc: Use image node_id 3 for calling a global function with example usage: test_get_model_gpu(tmpdir, accelerator) without return types