docstr: Simple test that checks if one uses a dict and converts it to a config object, the config object is the same as the dict
docstr_tok: ["Simple","test","that","checks","if","one","uses","a","dict","and","converts","it","to","a","config","object",",","the","config","object","is","the","same","as","the","dict"]
code: def test_from_dict(self):
      """
      Simple test that checks if one uses a dict and converts it to a config object, the config object is the same as the dict
      """
      dict = {"bits": 2, "zero_point": False, "backend": "autoawq"}
      quantization_config = AwqConfig.from_dict(dict)
  
      self.assertEqual(dict["bits"], quantization_config.bits)
      self.assertEqual(
          dict["zero_point"], quantization_config.zero_point
      )
      self.assertEqual(dict["backend"], quantization_config.backend)
  
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 3 for calling the AwqConfigTest obj's underlying member method code with example usage: obj.test_from_dict() without return types