code: def test_trainer_ray_with_ccl(self):
      trainer = Trainer(
          max_epochs=1,
          num_processes=2,
          distributed_backend="ray",
          process_group_backend="ccl",
      )
      pl_model = Trainer.compile(self.model, self.loss, self.optimizer)
      trainer.fit(pl_model, self.train_loader)
  
imports: import os
  import platform
  from unittest import TestCase
  import pytest
  import torch
  from pytorch_lightning import LightningModule
  from test.pytorch.utils._train_torch_lightning import train_with_linear_top_layer
  from test.pytorch.utils._train_torch_lightning import create_data_loader, data_transform
  from bigdl.nano.utils.common import compare_version
  import operator
  from torch import nn
  from bigdl.nano.pytorch import Trainer
  from bigdl.nano.pytorch.vision.models import vision
label_desc: Use image node_id 4 for calling the TestTrainer obj's underlying member method code with example usage: obj.test_trainer_ray_with_ccl() without return types