code: def test_fail_manual_init_distributed(
      self, manual_init_distributed: None
  ):
      updated_hparams = copy.deepcopy(self.hparams)
      updated_hparams["test_fail_manual_init_distributed"] = True
  
      def make_workloads() -> workload.Stream:
          trainer = utils.TrainAndValidate()
  
          yield from trainer.send(
              steps=10,
              validation_freq=10,
              train_batch_calls=self.data_parallel_only_auto_train_batch_calls,
          )
          training_metrics, validation_metrics = trainer.result()
  
          for metrics in validation_metrics:
              assert "loss" in metrics
  
      with pytest.raises(
          AssertionError,
          match=r"Distributed backend is not initialized. .*",
      ):
          _ = utils.make_trial_controller_from_trial_implementation(
              trial_class=deepspeed_linear_model.LinearDeepSpeedTrial,
              hparams=updated_hparams,
              workloads=make_workloads(),
              trial_seed=self.trial_seed,
              expose_gpus=True,
          )
  
imports: import copy
  import json
  import os
  import pathlib
  from typing import Any, Dict, Iterator, Optional
  import pytest
  import torch
  from deepspeed.runtime import config_utils
  import determined
  import determined.pytorch.deepspeed
  from determined import workload
  from tests.experiment import utils
  from tests.experiment.fixtures import deepspeed_linear_model
label_desc: Use image node_id 3 for calling the TestDeepSpeedTrial obj's underlying member method code with example usage: obj.test_fail_manual_init_distributed(manual_init_distributed) without return types