docstr: Simple test that checks if one uses a config and converts it to a dict, the dict is the same as the config object
docstr_tok: ["Simple","test","that","checks","if","one","uses","a","config","and","converts","it","to","a","dict",",","the","dict","is","the","same","as","the","config","object"]
code: def test_to_dict(self):
      """
      Simple test that checks if one uses a config and converts it to a dict, the dict is the same as the config object
      """
      quantization_config = AwqConfig(bits=4)
      config_to_dict = quantization_config.to_dict()
  
      for key in config_to_dict:
          self.assertEqual(
              getattr(quantization_config, key), config_to_dict[key]
          )
  
imports: import gc
  import tempfile
  import unittest
  from transformers import AutoConfig, AutoModelForCausalLM, AutoTokenizer, AwqConfig, OPTForCausalLM
  from transformers.testing_utils import require_accelerate, require_auto_awq, require_torch_gpu, require_torch_multi_gpu, slow, torch_device
  from transformers.utils import is_accelerate_available, is_torch_available
label_desc: Use image node_id 2 for calling the AwqConfigTest obj's underlying member method code with example usage: obj.test_to_dict() without return types