code: def test_initialization(self):
      (
          config,
          inputs_dict,
      ) = self.model_tester.prepare_config_and_inputs_for_common()
  
      configs_no_init = _config_zero_init(config)
      for model_class in self.all_model_classes:
          print("Model class:", model_class)
          model = model_class(config=configs_no_init)
          for name, param in model.named_parameters():
              if param.requires_grad:
                  if param.requires_grad:
                      if (
                          "level_embed" in name
                          or "sampling_offsets.bias" in name
                          or "value_proj" in name
                          or "output_proj" in name
                          or "reference_points" in name
                      ):
                          continue
                  self.assertIn(
                      ((param.data.mean() * 1e9).round() / 1e9).item(),
                      [0.0, 1.0],
                      msg=f"Parameter {name} of model {model_class} seems not properly initialized",
                  )
  
imports: import inspect
  import math
  import unittest
  from typing import Dict, List, Tuple
  from transformers import DeformableDetrConfig, is_timm_available, is_vision_available
  from transformers.file_utils import cached_property
  from transformers.testing_utils import require_timm, require_torch_gpu, require_vision, slow, torch_device
  from ...generation.test_generation_utils import GenerationTesterMixin
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, _config_zero_init, floats_tensor
label_desc: Use image node_id 16 for calling the DeformableDetrModelTest obj's underlying member method code with example usage: obj.test_initialization() without return types