code: def test_trainer_compiled_model_test(tmp_path):
      model = BoringModel()
      compiled_model = torch.compile(model)
  
      trainer = Trainer(
          default_root_dir=tmp_path,
          fast_dev_run=True,
          enable_checkpointing=False,
          enable_model_summary=False,
          enable_progress_bar=False,
          accelerator="cpu",
      )
      trainer.test(compiled_model)
  
file_path: pytorch-lightning/tests/tests_pytorch/utilities/test_compile.py
imports: import sys
  from unittest import mock
  import pytest
  import torch
  from lightning.fabric.utilities.imports import _TORCH_GREATER_EQUAL_2_1
  from lightning.pytorch import LightningModule, Trainer
  from lightning.pytorch.demos.boring_classes import BoringModel
  from lightning.pytorch.utilities.compile import from_compiled, to_uncompiled
  from lightning_utilities.core import module_available
  from tests_pytorch.conftest import mock_cuda_count
  from tests_pytorch.helpers.runif import RunIf
label_desc: Use image node_id 4 for calling a global function with example usage: test_trainer_compiled_model_test(tmp_path) without return types