code: def test_xla_beam_search(self):
      # Confirms that XLA is working properly
      (
          model,
          tokenizer,
          sentences,
          expected_output_sentences,
      ) = self._get_beam_search_test_objects()
  
      inputs = tokenizer(sentences, return_tensors="tf", padding=True)
      xla_generate = tf.function(model.generate, jit_compile=True)
      outputs_xla = xla_generate(**inputs, do_sample=False, num_beams=2)
      xla_sentence = tokenizer.batch_decode(
          outputs_xla, skip_special_tokens=True
      )
      self.assertListEqual(expected_output_sentences, xla_sentence)
  
imports: from __future__ import annotations
  import unittest
  from transformers import AutoTokenizer, GPTJConfig, is_tf_available
  from transformers.testing_utils import require_tf, slow, tooslow
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor, random_attention_mask
  from ...test_pipeline_mixin import PipelineTesterMixin
  from ...utils.test_modeling_tf_core import TFCoreModelTesterMixin
label_desc: Use image node_id 6 for calling the TFGPTJModelLanguageGenerationTest obj's underlying member method code with example usage: obj.test_xla_beam_search() without return types