def METHOD_NAME(self):
    from neural_compressor.experimental import Quantization, common
    quantizer = Quantization("fake_yaml.yaml")
    dataset = quantizer.dataset("dummy", shape=(100, 3, 3, 1), label=True)
    quantizer.eval_dataloader = common.DataLoader(dataset)
    quantizer.calib_dataloader = common.DataLoader(dataset)
    quantizer.model = self.constant_graph
    output_graph = quantizer.fit()