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如何確保PyTorch訓練的結果具有再現性？ - Yanwei Liu

torch.backends.cudnn.benchmark = False. 2. DataLoader. def seed_worker(worker_id): worker_seed = torch.initial_seed() % 2**32 numpy.random.seed(worker_seed)

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