code: def test_model_tpu_early_stop(tmpdir):
      model = CustomBoringModel()
      trainer = Trainer(
          callbacks=[EarlyStopping(monitor="val_loss")],
          default_root_dir=tmpdir,
          enable_progress_bar=False,
          max_epochs=2,
          limit_train_batches=2,
          limit_val_batches=2,
          accelerator="tpu",
          devices="auto",
      )
      trainer.fit(model)
      trainer.test(
          model,
          dataloaders=DataLoader(
              RandomDataset(32, 2000), batch_size=32
          ),
      )
  
imports: import os
  from functools import partial
  from unittest import mock
  import pytest
  import torch
  from lightning.pytorch import Trainer
  from lightning.pytorch.accelerators import XLAAccelerator
  from lightning.pytorch.callbacks import EarlyStopping
  from lightning.pytorch.demos.boring_classes import BoringModel, RandomDataset
  from lightning.pytorch.strategies import XLAStrategy
  from lightning.pytorch.strategies.launchers.xla import _XLALauncher
  from lightning.pytorch.trainer.connectors.logger_connector.result import _Sync
  from lightning.pytorch.utilities.exceptions import MisconfigurationException
  from torch.utils.data import DataLoader
  import tests_pytorch.helpers.pipelines
  from tests_pytorch.helpers.runif import RunIf
label_desc: Use image node_id 7 for calling a global function with example usage: test_model_tpu_early_stop(tmpdir) without return types