code: def tpu_sync_dist_fn(strategy):
      sync = _Sync(
          strategy.reduce,
          _should=True,
          _op=torch.distributed.ReduceOp.SUM,
      )
      value = torch.tensor([1.0])
      value = sync(value)
      assert value.item() == strategy.world_size
  
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 17 for calling a global function with example usage: tpu_sync_dist_fn(strategy) without return types