code: def test_model_common_attributes(self):
      for model_class in self.all_model_classes:
          (
              config,
              inputs_dict,
          ) = self.model_tester.prepare_config_and_inputs_for_model_class(
              model_class
          )
          model = model_class(config)
          # we overwrite this, as the embeddings of Perceiver are an instance of nn.Parameter
          # and Perceiver doesn't support get_output_embeddings
          self.assertIsInstance(
              model.get_input_embeddings(), (nn.Parameter)
          )
  
imports: import copy
  import inspect
  import math
  import tempfile
  import unittest
  import warnings
  from typing import Dict, List, Tuple
  import numpy
  from datasets import load_dataset
  from transformers import PerceiverConfig
  from transformers.models.auto import get_values
  from transformers.testing_utils import require_torch, require_torch_multi_gpu, require_vision, slow, torch_device
  from transformers.utils import is_torch_available, is_vision_available
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
label_desc: Use image node_id 9 for calling the PerceiverModelTest obj's underlying member method code with example usage: obj.test_model_common_attributes() without return types