code: def prepare_config_and_inputs(self):
      model_tester_encoder = TFViTModelTester(self, batch_size=13)
      model_tester_decoder = TFGPT2ModelTester(self)
      encoder_config_and_inputs = (
          model_tester_encoder.prepare_config_and_inputs()
      )
      decoder_config_and_inputs = (
          model_tester_decoder.prepare_config_and_inputs_for_decoder()
      )
      (config, pixel_values, labels) = encoder_config_and_inputs
      (
          decoder_config,
          decoder_input_ids,
          decoder_attention_mask,
          decoder_head_mask,
          decoder_token_type_ids,
          decoder_sequence_labels,
          decoder_token_labels,
          decoder_choice_labels,
          encoder_hidden_states,
          encoder_attention_mask,
      ) = decoder_config_and_inputs
  
      # make sure that cross attention layers are added
      decoder_config.add_cross_attention = True
      # disable cache for now
      decoder_config.use_cache = False
      return {
          "config": config,
          "pixel_values": pixel_values,
          "decoder_config": decoder_config,
          "decoder_input_ids": decoder_input_ids,
          "decoder_attention_mask": decoder_attention_mask,
          "decoder_token_labels": decoder_token_labels,
          "encoder_hidden_states": encoder_hidden_states,  # This is not used in the tests.
          "labels": decoder_token_labels,
      }
  
imports: from __future__ import annotations
  import copy
  import os
  import tempfile
  import unittest
  import numpy
  from transformers import is_tf_available, is_torch_available, is_vision_available
  from transformers.testing_utils import is_pt_tf_cross_test, require_tf, require_torch, require_vision, slow, torch_device
  from transformers.utils.generic import ModelOutput
  from ...test_modeling_tf_common import floats_tensor, ids_tensor
  from ..gpt2.test_modeling_tf_gpt2 import TFGPT2ModelTester
  from ..vit.test_modeling_tf_vit import TFViTModelTester
label_desc: Use image node_id 3 for calling the TFViT2GPT2EncoderDecoderModelTest obj's underlying member method code with example usage: obj.prepare_config_and_inputs() and returns: dict