keras/src/layers/preprocessing/normalization.py/Normalization/get_config
class Normalization:    def get_config(self):
        config = super().get_config()
        config.update(
            {
                "axis": self.axis,
                "invert": self.invert,
                "mean": np.array(self.input_mean).tolist(),
                "variance": np.array(self.input_variance).tolist(),
            }
        )
        return config