code: def get_launcher(self, distributed=False):
      # 1. explicitly set --num_nodes=1 just in case these tests end up run on a multi-node setup
      # - it won't be able to handle that
      # 2. for now testing with just 2 gpus max (since some quality tests may give different
      # results with mode gpus because we use very little data)
      num_gpus = min(2, get_gpu_count()) if distributed else 1
      return f"deepspeed --num_nodes 1 --num_gpus {num_gpus}".split()
  
imports: import sys
  from pathlib import Path
  import dataclasses
  import io
  import itertools
  import json
  import os
  import unittest
  from copy import deepcopy
  from parameterized import parameterized
  from transformers import TrainingArguments, is_torch_available
  from transformers.deepspeed import is_deepspeed_available
  from transformers.file_utils import WEIGHTS_NAME
  from transformers.testing_utils import CaptureLogger, ExtendSysPath, TestCasePlus, execute_subprocess_async, get_gpu_count, mockenv_context, require_deepspeed, require_torch_gpu, require_torch_multi_gpu, slow
  from transformers.trainer_utils import set_seed
label_desc: Use image node_id 8 for calling the TestDeepSpeedWav2Vec2 obj's underlying member method code with example usage: obj.get_launcher(distributed) and returns: str, num_gpus