code: def test_model_common_attributes(self):
      (
          config,
          inputs_dict,
      ) = self.model_tester.prepare_config_and_inputs_for_common()
      list_lm_models = [TFLxmertForPreTraining]
  
      for model_class in self.all_model_classes:
          model = model_class(config)
          assert isinstance(
              model.get_input_embeddings(), tf.keras.layers.Layer
          )
  
          if model_class in list_lm_models:
              x = model.get_output_embeddings()
              assert isinstance(x, tf.keras.layers.Layer)
              name = model.get_bias()
              assert isinstance(name, dict)
              for k, v in name.items():
                  assert isinstance(v, tf.Variable)
          else:
              x = model.get_output_embeddings()
              assert x is None
              name = model.get_bias()
              assert name is None
  
imports: import os
  import tempfile
  import unittest
  import numpy
  from transformers import LxmertConfig, is_tf_available
  from transformers.testing_utils import require_tf, slow, tooslow
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor, random_attention_mask
label_desc: Use image node_id 11 for calling the TFLxmertModelTest obj's underlying member method code with example usage: obj.test_model_common_attributes() without return types