code: def test_tpu_sync_module_states(sync_module_states):
      """Test sync_module_states."""
      accelerator = XLAAccelerator()
      strategy = XLAStrategy(
          accelerator=accelerator,
          parallel_devices=XLAAccelerator.get_parallel_devices(
              XLAAccelerator.auto_device_count()
          ),
          sync_module_states=sync_module_states,
      )
      partial_fn = partial(
          tpu_sync_module_states_fn, sync_module_states
      )
      xla_launch(partial_fn, strategy)
  
imports: import os
  from functools import partial
  from unittest import mock
  from unittest.mock import ANY, MagicMock, Mock
  import pytest
  import torch
  from lightning.fabric.accelerators.xla import _XLA_GREATER_EQUAL_2_1, XLAAccelerator
  from lightning.fabric.strategies import XLAStrategy
  from lightning.fabric.strategies.launchers.xla import _XLALauncher
  from lightning.fabric.utilities.distributed import ReduceOp
  from lightning.fabric.utilities.seed import seed_everything
  from torch.utils.data import DataLoader
  from tests_fabric.helpers.models import RandomDataset
  from tests_fabric.helpers.runif import RunIf
label_desc: Use image node_id 11 for calling a global function with example usage: test_tpu_sync_module_states(sync_module_states) without return types