code: def test(self):
      ds_config = {
          "train_batch_size": 2,
          "steps_per_print": 1,
          "optimizer": {"type": "Adam", "params": {"lr": 0.00015}},
      }
  
      class Model(torch.nn.Module):
          def __init__(self):
              super(Model, self).__init__()
              self.linear = torch.nn.Linear(4, 4)
  
          def magic(self):
              return 42
  
      with deepspeed.zero.Init():
          model = Model()
          engine, *_ = deepspeed.initialize(
              model=model,
              config=ds_config,
              model_parameters=model.parameters(),
          )
      assert engine.magic() == 42
  
imports: import os
  from types import SimpleNamespace
  import torch
  import pytest
  import deepspeed
  from deepspeed.runtime.zero.partition_parameters import ZeroParamStatus, partitioned_param_data_shape
  import deepspeed.comm
  from unit.common import DistributedTest, get_master_port
label_desc: Use image node_id 1 for calling the TestDSInitWZinit obj's underlying member method code with example usage: obj.test() and returns: int