code: def test_model_common_attributes(self):
      (
          config,
          _,
      ) = self.model_tester.prepare_config_and_inputs_for_common()
  
      for model_class in self.all_model_classes:
          model = model_class(config)
          self.assertIsInstance(
              model.get_input_embeddings(), (nn.Module)
          )
          x = model.get_output_embeddings()
          self.assertTrue(x is None or isinstance(x, nn.Linear))
  
imports: import collections
  import unittest
  from transformers import DonutSwinConfig
  from transformers.testing_utils import require_torch, slow, torch_device
  from transformers.utils import is_torch_available
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, _config_zero_init, floats_tensor, ids_tensor
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 6 for calling the DonutSwinModelTest obj's underlying member method code with example usage: obj.test_model_common_attributes() without return types