code: def test_run_wav2vec2_pretraining(self):
      tmp_dir = self.get_auto_remove_tmp_dir()
      testargs = f"""
              run_wav2vec2_pretraining_no_trainer.py
              --output_dir {tmp_dir}
              --model_name_or_path hf-internal-testing/tiny-random-wav2vec2
              --dataset_name hf-internal-testing/librispeech_asr_dummy
              --dataset_config_names clean
              --dataset_split_names validation
              --learning_rate 1e-4
              --per_device_train_batch_size 4
              --per_device_eval_batch_size 4
              --preprocessing_num_workers 16
              --max_train_steps 2
              --validation_split_percentage 5
              --seed 42
          """.split()
  
      if is_cuda_and_apex_available():
          testargs.append("--fp16")
  
      with patch.object(sys, "argv", testargs):
          run_wav2vec2_pretraining_no_trainer.main()
          model = Wav2Vec2ForPreTraining.from_pretrained(tmp_dir)
          self.assertIsNotNone(model)
  
imports: import argparse
  import json
  import logging
  import os
  import sys
  from unittest.mock import patch
  import torch
  from transformers import ViTMAEForPreTraining, Wav2Vec2ForPreTraining
  from transformers.testing_utils import CaptureLogger, TestCasePlus, get_gpu_count, slow, torch_device
  from transformers.utils import is_apex_available
label_desc: Use image node_id 16 for calling the ExamplesTests obj's underlying member method code with example usage: obj.test_run_wav2vec2_pretraining() without return types