def METHOD_NAME():
    fake_yaml = """
        model:
          name: fake_yaml
          framework: tensorflow
          inputs: input
          outputs: op_to_store
        device: cpu
        quantization:
          optimization:
            arithmetic: False                                 # optional. grappler arithmetic optimizer,default value is True.
          model_wise:
            activation:
                algorithm: kl
            weight:
                granularity: per_tensor
                scheme: sym
                dtype: int8
                algorithm: minmax
        evaluation:
          accuracy:
            metric:
              topk: 1
        tuning:
            strategy:
              name: basic
            accuracy_criterion:
              relative: 0.99
            workspace:
              path: saved
        """
    y = yaml.load(fake_yaml, Loader=yaml.SafeLoader)
    with open("fake_yaml_kl.yaml", "w", encoding="utf-8") as f:
        yaml.dump(y, f)
    f.close()