docstr: Test the serialization of the model and the loading of the quantized weights
docstr_tok: ["Test","the","serialization","of","the","model","and","the","loading","of","the","quantized","weights"]
code: def test_serialization(self):
      """
      Test the serialization of the model and the loading of the quantized weights
      """
      from accelerate import init_empty_weights
  
      with tempfile.TemporaryDirectory() as tmpdirname:
          self.quantizer.save(self.quantized_model, tmpdirname)
          self.quantized_model.config.save_pretrained(tmpdirname)
          with init_empty_weights():
              empty_model = AutoModelForCausalLM.from_config(
                  AutoConfig.from_pretrained(self.model_name),
                  torch_dtype=torch.float16,
              )
          empty_model.tie_weights()
          quantized_model_from_saved = load_quantized_model(
              empty_model,
              save_folder=tmpdirname,
              device_map={"": 0},
              disable_exllama=self.disable_exllama,
              exllama_config=self.exllama_config,
          )
          if self.disable_exllama:
              self.check_quantized_layers_type(
                  quantized_model_from_saved, "cuda-old"
              )
          else:
              self.check_quantized_layers_type(
                  quantized_model_from_saved, "exllama"
              )
  
          with torch.device("cuda"):
              _ = AutoModelForCausalLM.from_pretrained(tmpdirname)
          _ = AutoGPTQForCausalLM.from_quantized(tmpdirname)
  
          self.check_inference_correctness(quantized_model_from_saved)
  
imports: import tempfile
  import unittest
  import torch
  from parameterized import parameterized
  from transformers import AutoConfig, AutoModelForCausalLM, AutoTokenizer
  from transformers.testing_utils import slow
  from optimum.gptq import GPTQQuantizer, load_quantized_model
  from optimum.gptq.data import get_dataset
  from optimum.utils.import_utils import is_auto_gptq_available
  from optimum.utils.testing_utils import require_accelerate, require_auto_gptq, require_torch_gpu
label_desc: Use image node_id 7 for calling the GPTQTest obj's underlying member method code with example usage: obj.test_serialization() without return types