code: def test_initialization(self):
      (
          config,
          _,
      ) = 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():
              if param.requires_grad:
                  msg = f"Parameter {name} of model {model_class} seems not properly initialized"
                  if "norm" in name:
                      if "bias" in name:
                          self.assertEqual(
                              param.data.mean().item(), 0.0, msg=msg
                          )
                      if "weight" in name:
                          self.assertEqual(
                              param.data.mean().item(), 1.0, msg=msg
                          )
                  elif "conv" in name or "embed" in name:
                      self.assertTrue(
                          -1.0
                          <= (
                              (param.data.mean() * 1e9).round() / 1e9
                          ).item()
                          <= 1.0,
                          msg=msg,
                      )
  
imports: import inspect
  import tempfile
  import unittest
  from transformers import FastSpeech2ConformerConfig, FastSpeech2ConformerHifiGanConfig, FastSpeech2ConformerTokenizer, FastSpeech2ConformerWithHifiGanConfig, is_torch_available
  from transformers.testing_utils import require_g2p_en, require_torch, slow, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, _config_zero_init, ids_tensor
label_desc: Use image node_id 3 for calling the FastSpeech2ConformerWithHifiGanTest obj's underlying member method code with example usage: obj.test_initialization() without return types