code: def test_encoder_decoder_generate_attention_mask(self):
      model_cls = self.framework_dependent_parameters[
          "AutoModelForSeq2SeqLM"
      ]
      return_tensors = self.framework_dependent_parameters[
          "return_tensors"
      ]
      is_pt = not model_cls.__name__.startswith("TF")
  
      articles = [
          "Timberlake",
          "Jessica Biel, welcome to parenthood among other things",
      ]
      tokenizer = AutoTokenizer.from_pretrained(
          "hf-internal-testing/tiny-random-bart"
      )
      # need extreme generation values here to force this test
      # to fail when `attention_mask` is not correctly treated in generate
      model = model_cls.from_pretrained(
          "hf-internal-testing/tiny-random-bart",
          max_length=50,
          num_beams=5,
          num_return_sequences=5,
      )
      model.config.eos_token_id = None
      input_ids = tokenizer(
          articles[0], return_tensors=return_tensors
      ).input_ids
      input_ids_batched = tokenizer(
          articles, padding=True, return_tensors=return_tensors
      ).input_ids
      if is_pt:
          model = model.to(torch_device)
          input_ids = input_ids.to(torch_device)
          input_ids_batched = input_ids_batched.to(torch_device)
  
      output_sequences_batched = model.generate(
          input_ids=input_ids_batched,
          return_dict_in_generate=True,
          output_scores=True,
      )
      output_sequences = model.generate(
          input_ids=input_ids,
          return_dict_in_generate=True,
          output_scores=True,
      )
  
      batched_out = output_sequences_batched.sequences_scores
      out = output_sequences.sequences_scores
      if is_pt:
          batched_out = batched_out.cpu().numpy()
          out = out.cpu().numpy()
  
      diff = np.abs(np.sum(batched_out[:5]) - np.sum(out))
      self.assertTrue(diff < 1e-4)
  
imports: import numpy
  from transformers import AutoTokenizer
  from transformers.testing_utils import slow, torch_device
label_desc: Use image node_id 13 for calling the GenerationIntegrationTestsMixin obj's underlying member method code with example usage: obj.test_encoder_decoder_generate_attention_mask() without return types