如何实现结果可重复性？

[liujian123223]

你好，感谢你提供这么优秀的工作，我在使用代码的过程中。发现就算我固定随机数种子，但我使用SAITS运行的结果仍然会变化，你能告诉我如何才能让结果可以复现吗？谢谢
我使用了如下方法固定随机数种子，但他们依然无效。

设置随机种子，确保结果可复现

seed = 2024

设置Python的随机种子

random.seed(seed)

设置NumPy的随机种子

np.random.seed(seed)

设置PyTorch的随机种子

torch.manual_seed(seed)
torch.cuda.manual_seed_all(seed) # 如果使用GPU，确保所有的CUDA设备都使用相同的种子

如果你使用了CuDNN（例如在NVIDIA GPU上运行），则需要禁用其自动调节以确保结果可复现

torch.backends.cudnn.deterministic = True
torch.backends.cudnn.benchmark = False
set_random_seed(2024)

[WenjieDu]

Hi there,

Thank you so much for your attention to SAITS! If you find SAITS is helpful to your work, please star⭐️ this repository. Your star is your recognition, which can let others notice SAITS. It matters and is definitely a kind of contribution.

I have received your message and will respond ASAP. Thank you again for your patience! 😃

Best,
Wenjie

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