code: def prepare_config_and_inputs_for_common(self):
      config_and_inputs = self.prepare_config_and_inputs()
  
      (
          config,
          pixel_values,
          input_mask,
          head_mask,
          token_type_ids,
          mc_token_ids,
          sequence_labels,
          token_labels,
          choice_labels,
      ) = config_and_inputs
  
      inputs_dict = {
          "pixel_values": pixel_values,
          "token_type_ids": token_type_ids,
          "head_mask": head_mask,
      }
  
      return config, inputs_dict
  
imports: import copy
  import inspect
  import os
  import tempfile
  import unittest
  from transformers import ImageGPTConfig
  from transformers.testing_utils import require_torch, require_vision, slow, torch_device
  from transformers.utils import cached_property, is_torch_available, is_vision_available
  from ...generation.test_utils import GenerationTesterMixin
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, _config_zero_init, floats_tensor, ids_tensor, random_attention_mask
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 10 for calling the ImageGPTModelTester obj's underlying member method code with example usage: obj.prepare_config_and_inputs_for_common() and returns: config,  inputs_dict