code: def check_opset(models):
      """
      :param models (dict): dictionary hat contains the information of tflite model
      :return: Te or False. The returned value means whether this tflite model can be quantized or not
      """
      for op_code in models["operator_codes"]:
          if not op_code.get("builtin_code"):
              op_code["builtin_code"] = "ADD"
          if op_code["builtin_code"] not in QUANTIZATION_OPS:
              raise ValueError(
                  "Can't quantize this model because it includes unsupported op {}".format(
                      op_code["builtin_code"]
                  )
              )
      return True
  
imports: import numpy
  import tensorflow
  import tqdm
label_desc: Use image node_id 2 for calling a global function with example usage: check_opset(models) and returns: True