code: def create_and_check_deta_unfreeze_backbone(
      self, config, pixel_values, pixel_mask, labels
  ):
      model = DetaModel(config=config)
      model.to(torch_device)
      model.eval()
  
      model.unfreeze_backbone()
  
      for _, param in model.backbone.model.named_parameters():
          self.parent.assertEqual(True, param.requires_grad)
  
imports: import inspect
  import math
  import unittest
  from transformers import DetaConfig, ResNetConfig, is_torch_available, is_torchvision_available, is_vision_available
  from transformers.file_utils import cached_property
  from transformers.testing_utils import require_torchvision, 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 7 for calling the DetaModelTester obj's underlying member method code with example usage: obj.create_and_check_deta_unfreeze_backbone(config, pixel_values, pixel_mask, labels) without return types