code: def test_two_stage_training(self):
      model_class = DeformableDetrForObjectDetection
      (
          config,
          inputs_dict,
      ) = self.model_tester.prepare_config_and_inputs_for_common()
      config.return_dict = True
      config.two_stage = True
      config.auxiliary_loss = True
      config.with_box_refine = True
  
      model = model_class(config)
      model.to(torch_device)
      model.train()
      inputs = self._prepare_for_class(
          inputs_dict, model_class, return_labels=True
      )
      loss = model(**inputs).loss
      loss.backward()
  
imports: import inspect
  import math
  import unittest
  from typing import Dict, List, Tuple
  from transformers import DeformableDetrConfig, ResNetConfig, is_torch_available, is_vision_available
  from transformers.file_utils import cached_property
  from transformers.testing_utils import require_timm, require_torch, require_torch_accelerator, require_vision, slow, torch_device
  from ...generation.test_utils import GenerationTesterMixin
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, _config_zero_init, floats_tensor
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 17 for calling the DeformableDetrModelTest obj's underlying member method code with example usage: obj.test_two_stage_training() without return types