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:
          model = model_class(config=configs_no_init)
          for name, param in model.named_parameters():
              uniform_init_parms = [
                  "conv.weight",
                  "masked_spec_embed",
                  "codevectors",
                  "quantizer.weight_proj.weight",
                  "project_hid.weight",
                  "project_hid.bias",
                  "project_q.weight",
                  "project_q.bias",
                  "feature_projection.projection.weight",
                  "feature_projection.projection.bias",
                  "label_embeddings_concat",
                  "rel_attn_embed",
                  "objective.weight",
              ]
              if param.requires_grad:
                  if any([x in name for x in uniform_init_parms]):
                      self.assertTrue(
                          -1.0
                          <= (
                              (param.data.mean() * 1e9).round() / 1e9
                          ).item()
                          <= 1.0,
                          msg=f"Parameter {name} of model {model_class} seems not properly initialized",
                      )
                  else:
                      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 math
  import unittest
  import pytest
  from datasets import load_dataset
  from transformers import WavLMConfig, is_torch_available
  from transformers.testing_utils import require_torch, require_torchaudio, slow, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, _config_zero_init, floats_tensor, ids_tensor, random_attention_mask
label_desc: Use image node_id 14 for calling the WavLMModelTest obj's underlying member method code with example usage: obj.test_initialization() without return types