code: def test_no_init(self, dist_init_required):
      model = SimpleModel(4)
      config_dict = {
          "train_micro_batch_size_per_gpu": 1,
          "optimizer": {"type": "Adam", "params": {}},
      }
      if dist_init_required:
          engine, *_ = deepspeed.initialize(
              model=model,
              config=config_dict,
              model_parameters=model.parameters(),
              dist_init_required=dist_init_required,
          )
      else:
          # torch.dist is not done and for some reason the user says they don't want it done
          with pytest.raises(Exception):
              engine, *_ = deepspeed.initialize(
                  model=model,
                  config=config_dict,
                  model_parameters=model.parameters(),
                  dist_init_required=dist_init_required,
              )
  
imports: import os
  import torch
  import deepspeed.comm
  import deepspeed
  from unit.common import DistributedTest, DistributedFixture, get_master_port
  from unit.simple_model import SimpleModel
  from deepspeed.accelerator import get_accelerator
  import pytest
  from deepspeed.ops.op_builder import FusedAdamBuilder
label_desc: Use image node_id 2 for calling the TestDistInitWithModel obj's underlying member method code with example usage: obj.test_no_init(dist_init_required) without return types