def METHOD_NAME(self, *data) -> np.ndarray:
    _ = self.model(*data)
    truth = data[0].cpu().numpy()
    preds = self.model.forecast[..., 0].cpu().numpy()
    dummy = np.zeros(truth.shape[:-1] + preds.shape[-1:]) + np.nan
    preds = np.concatenate([dummy[:, : -preds.shape[1]], preds], axis=1)
    curve = np.concatenate([truth, preds], axis=-1)
    return curve