class_docstr: 使用 PaddleSingleDriver 测试基类的函数
class_docstr_tok: ["\u4f7f\u7528","PaddleSingleDriver","\u6d4b\u8bd5\u57fa\u7c7b\u7684\u51fd\u6570"]
docstr: 测试传入非法的 optimizers
docstr_tok: ["\u6d4b\u8bd5\u4f20\u5165\u975e\u6cd5\u7684","optimizers"]
code: def test_invalid_optimizers(self):
      """
      测试传入非法的 optimizers
      """
      # 单个 optimizer
      optimizer = torch.optim.Adam(
          TorchNormalModel_Classification_1(10, 32).parameters(), 0.01
      )
      with pytest.raises(TypeError):
          self.driver.set_optimizers(optimizer)
  
      optimizers = [
          torch.optim.Adam(
              TorchNormalModel_Classification_1(10, 32).parameters(),
              0.01,
          )
      ]
  
      with pytest.raises(TypeError):
          self.driver.set_optimizers(optimizers)
  
imports: import pytest
  from pathlib import Path
  from fastNLP.core.drivers.paddle_driver.single_device import PaddleSingleDriver
  from fastNLP.core.samplers import ReproduceBatchSampler, RandomSampler
  from tests.helpers.models.paddle_model import PaddleNormalModel_Classification_1
  from tests.helpers.datasets.paddle_data import PaddleNormalDataset, PaddleNormalXYDataset
  from tests.helpers.datasets.torch_data import TorchNormalDataset
  from tests.helpers.models.torch_model import TorchNormalModel_Classification_1
  from fastNLP.envs.distributed import rank_zero_rm
  from fastNLP.envs.imports import _NEED_IMPORT_PADDLE, _NEED_IMPORT_TORCH
  from fastNLP import prepare_paddle_dataloader, BucketedBatchSampler
label_desc: Use image node_id 3 for calling the TestPaddleDriverFunctions obj's underlying member method code with example usage: obj.test_invalid_optimizers() without return types