def METHOD_NAME():
    fake_yaml = """
        model:
          name: fake_yaml
          framework: tensorflow
          inputs: x
          outputs: identity
        quantization:
          recipes:
            weight_correction: True
          calibration:
            sampling_size: 10
        device: cpu
        evaluation:
          accuracy:
            metric:
              topk: 1
        tuning:
          accuracy_criterion:
            relative: 0.01
          workspace:
            path: saved
            resume: ./saved/history.snapshot
        """
    y = yaml.load(fake_yaml, Loader=yaml.SafeLoader)
    with open("fake_yaml2.yaml", "w", encoding="utf-8") as f:
        yaml.dump(y, f)
    f.close()