code: def test_run_clm(self):
      tmp_dir = self.get_auto_remove_tmp_dir()
      testargs = f"""
              run_clm.py
              --model_name_or_path distilgpt2
              --train_file ./tests/fixtures/sample_text.txt
              --validation_file ./tests/fixtures/sample_text.txt
              --do_train
              --do_eval
              --block_size 128
              --per_device_train_batch_size 2
              --per_device_eval_batch_size 1
              --num_train_epochs 2
              --output_dir {tmp_dir}
              --overwrite_output_dir
              """.split()
  
      if len(tf.config.list_physical_devices("GPU")) > 1:
          # Skipping because there are not enough batches to train the model + would need a drop_last to work.
          return
  
      with patch.object(sys, "argv", testargs):
          run_clm.main()
          result = get_results(tmp_dir)
          self.assertLess(result["eval_perplexity"], 100)
  
imports: import argparse
  import json
  import logging
  import os
  import sys
  from unittest import skip
  from unittest.mock import patch
  import tensorflow
  from transformers.testing_utils import TestCasePlus, get_gpu_count, slow
label_desc: Use image node_id 2 for calling the ExamplesTests obj's underlying member method code with example usage: obj.test_run_clm() without return types