code: def test_enro_generate_batch(self):
      batch: BatchEncoding = self.tokenizer(
          self.src_text,
          return_tensors="pt",
          padding=True,
          truncation=True,
      ).to(torch_device)
      translated_tokens = self.model.generate(**batch)
      decoded = self.tokenizer.batch_decode(
          translated_tokens, skip_special_tokens=True
      )
      assert self.tgt_text == decoded
  
imports: import copy
  import tempfile
  import unittest
  from transformers import MBartConfig, is_torch_available
  from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, require_torch_fp16, slow, torch_device
  from transformers.utils import cached_property
  from ...generation.test_utils import GenerationTesterMixin
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, ids_tensor
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 2 for calling the MBartEnroIntegrationTest obj's underlying member method code with example usage: obj.test_enro_generate_batch() without return types