code: def test_ddp_all_dataloaders_passed_to_fit(tmpdir):
      """Make sure DDP works with dataloaders passed to fit()"""
      model = BoringModel()
  
      trainer = Trainer(
          default_root_dir=tmpdir,
          enable_progress_bar=False,
          max_epochs=1,
          limit_train_batches=0.2,
          limit_val_batches=0.2,
          accelerator="gpu",
          devices=[0, 1],
          strategy="ddp_spawn",
      )
      trainer.fit(
          model,
          train_dataloaders=model.train_dataloader(),
          val_dataloaders=model.val_dataloader(),
      )
  
imports: import os
  from unittest import mock
  from unittest.mock import Mock
  import lightning.pytorch
  import pytest
  import torch
  from lightning.fabric.plugins.environments import ClusterEnvironment, LightningEnvironment
  from lightning.fabric.utilities.distributed import _distributed_is_initialized
  from lightning.fabric.utilities.imports import _TORCH_GREATER_EQUAL_2_0
  from lightning.pytorch import Trainer
  from lightning.pytorch.callbacks import Callback, EarlyStopping
  from lightning.pytorch.demos.boring_classes import BoringDataModule, BoringModel
  from lightning.pytorch.strategies import DDPStrategy
  from lightning.pytorch.strategies.launchers import _SubprocessScriptLauncher
  from lightning.pytorch.strategies.launchers.multiprocessing import _MultiProcessingLauncher
  from lightning.pytorch.trainer import seed_everything
  from torch.distributed.optim import ZeroRedundancyOptimizer
  from torch.multiprocessing import ProcessRaisedException
  from torch.nn.parallel.distributed import DistributedDataParallel
  import tests_pytorch.helpers.pipelines
  from tests_pytorch.helpers.datamodules import ClassifDataModule
  from tests_pytorch.helpers.runif import RunIf
  from tests_pytorch.helpers.simple_models import ClassificationModel
label_desc: Use image node_id 8 for calling a global function with example usage: test_ddp_all_dataloaders_passed_to_fit(tmpdir) without return types