code: def test_dataloaders_passed_to_fit(tmpdir):
      """Test if dataloaders passed to trainer works on TPU."""
      model = BoringModel()
  
      trainer = Trainer(
          default_root_dir=tmpdir,
          max_epochs=1,
          accelerator="tpu",
          devices="auto",
      )
      trainer.fit(
          model,
          train_dataloaders=model.train_dataloader(),
          val_dataloaders=model.val_dataloader(),
      )
  
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 10 for calling a global function with example usage: test_dataloaders_passed_to_fit(tmpdir) without return types