code: def test_generation_librispeech_batched(self):
      model = TFSpeech2TextForConditionalGeneration.from_pretrained(
          "facebook/s2t-small-librispeech-asr"
      )
      processor = self.default_processor
  
      input_speech = self._load_datasamples(4)
  
      inputs = processor(
          input_speech, return_tensors="tf", padding=True
      )
      generated_ids = model.generate(
          inputs.input_features, attention_mask=inputs.attention_mask
      )
      generated_transcripts = processor.batch_decode(
          generated_ids, skip_special_tokens=True
      )
  
      EXPECTED_TRANSCRIPTIONS = [
          "mister quilter is the apostle of the middle classes and we are glad to welcome his gospel",
          "nor is mister cultar's manner less interesting than his matter",
          "he tells us that at this festive season of the year with christmas and roast beef looming before us"
          " similes drawn from eating and its results occur most readily to the mind",
          "he has grave doubts whether sir frederick leyton's work is really greek after all and can discover in it"
          " but little of rocky ithaca",
      ]
      self.assertListEqual(
          generated_transcripts, EXPECTED_TRANSCRIPTIONS
      )
  
imports: from __future__ import annotations
  import inspect
  import unittest
  from transformers import Speech2TextConfig
  from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow
  from transformers.utils import cached_property, is_tf_available
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, floats_tensor, ids_tensor
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 4 for calling the TFSpeech2TextModelIntegrationTests obj's underlying member method code with example usage: obj.test_generation_librispeech_batched() without return types