dgl里的gatconv是不是非确定性的呀，我固定了所有的随机种子，但输出结果依然在变
    解决：

    1. def set_seed(seed):
    2.     random.seed(seed)
    3.     os.environ['PYTHONHASHSEED'] = str(seed)
    4.     np.random.seed(seed)
    5.     torch.manual_seed(seed)
    6.     torch.cuda.manual_seed(seed)
    7.     torch.cuda.manual_seed_all(seed)
    8.     dgl.random.seed(seed)
    9.     dgl.seed(seed)
    10.     torch.backends.cudnn.deterministic = True
    11.     torch.backends.cudnn.benchmark = False
    12.     torch.backends.cudnn.enabled = False  
    14. set_seed(SEED)