docs: def log_run_info(self, model_name):
      """Collect most of the TF runtime information for the local env.
  
      The schema of the run info follows official/benchmark/datastore/schema.
  
      Args:
        model_name: string, the name of the model.
      """
      run_info = {
          "model_name": model_name,
          "machine_config": {},
          "run_date": datetime.datetime.now().strftime(_DATE_TIME_FORMAT_PATTERN)}
      _collect_tensorflow_info(run_info)
      _collect_tensorflow_environment_variables(run_info)
      _collect_cpu_info(run_info)
      _collect_gpu_info(run_info)
      _collect_memory_info(run_info)
  
      with tf.gfile.GFile(os.path.join(
          self._logging_dir, BENCHMARK_RUN_LOG_FILE_NAME), "w") as f:
        try:
          json.dump(run_info, f)
          f.write("\n")
        except (TypeError, ValueError) as e:
          tf.logging.warning("Failed to dump benchmark run info to log file: %s",
                             e)