code: def test_batch_generation(self):
      model_path = "openbmb/cpm-ant-10b"
      model = CpmAntForCausalLM.from_pretrained(model_path)
      tokenizer = CpmAntTokenizer.from_pretrained(model_path)
      texts = ["今天天气不错，", "新年快乐，万事如意！"]
      expected_output = [
          "今天天气不错，阳光明媚，我和妈妈一起去超市买东西。\n在超市里，我看到了一个很好玩的玩具，它的名字叫“机器人”。它有一个圆圆的脑袋，两只圆圆的眼睛，还有一个圆圆的",
          "新年快乐，万事如意！在这辞旧迎新的美好时刻，我谨代表《农村新技术》杂志社全体同仁，向一直以来关心、支持《农村新技术》杂志发展的各级领导、各界朋友和广大读者致以最诚挚的",
      ]
      model_inputs = tokenizer(texts, return_tensors="pt", padding=True)
      token_ids = model.generate(**model_inputs)
      output_texts = tokenizer.batch_decode(token_ids)
      self.assertEqual(expected_output, output_texts)
  
imports: import unittest
  from transformers.testing_utils import is_torch_available, require_torch, tooslow
  from ...generation.test_utils import torch_device
  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 3 for calling the CpmAntForCausalLMlIntegrationTest obj's underlying member method code with example usage: obj.test_batch_generation() without return types