code: def test_inference_no_configs_xla(self):
      MODEL_ID = "sshleifer/tiny-gpt2"
      benchmark_args = TensorFlowBenchmarkArguments(
          models=[MODEL_ID],
          training=False,
          inference=True,
          sequence_lengths=[8],
          batch_sizes=[1],
          use_xla=True,
          multi_process=False,
      )
      benchmark = TensorFlowBenchmark(benchmark_args)
      results = benchmark.run()
      self.check_results_dict_not_empty(results.time_inference_result)
      self.check_results_dict_not_empty(results.memory_inference_result)
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/tests/benchmark/test_benchmark_tf.py
imports: import os
  import tempfile
  import unittest
  from pathlib import Path
  from transformers import AutoConfig, is_tf_available
  from transformers.testing_utils import require_tf
label_desc: Use image node_id 10 for calling the TFBenchmarkTest obj's underlying member method code with example usage: obj.test_inference_no_configs_xla() without return types