code: def setup_method(self) -> None:
      # These environment variables are usually set by the launcher, but we set them manually here
      # since they are required internally by the deepspeed model engine.
      os.environ["RANK"] = "0"
      os.environ["LOCAL_RANK"] = "0"
      os.environ["WORLD_SIZE"] = "1"
      os.environ["MASTER_ADDR"] = "localhost"
      os.environ["MASTER_PORT"] = "29500"
  
      self.trial_seed = 17
      self.hparams = {
          "global_batch_size": 16,
          "deepspeed_config": deepspeed_config,
          "test_manual_init_distributed": False,
          "test_fail_manual_init_distributed": False,
          "test_manual_dataloader": False,
          "test_fail_dataset_repro_check": False,
          "test_manual_grad_acc": False,
          "test_fail_manual_grad_acc": False,
          "return_non_scalar_metrics": False,
          "test_custom_reducer": False,
      }
      self.data_parallel_only_auto_train_batch_calls = (
          deepspeed_config["train_batch_size"]
          // deepspeed_config["train_micro_batch_size_per_gpu"]
      )
  
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 1 for calling the TestDeepSpeedTrial obj's underlying member method code with example usage: obj.setup_method() without return types