code: def get_decoder_config(self):
      config = AutoConfig.from_pretrained("gpt2")
      config.is_decoder = True
      config.add_cross_attention = True
      return config
  
imports: 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 2 for calling the TFVisionEncoderDecoderModelTest obj's underlying member method code with example usage: obj.get_decoder_config() and returns: config