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fix: use a stable seed in the PyTorch integration #3072

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fix: use a stable seed in the PyTorch integration #3072

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9 changes: 5 additions & 4 deletions models/integrations/pytorch.mdx
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Expand Up @@ -70,11 +70,12 @@ import torchvision.transforms as transforms
from tqdm.auto import tqdm

# Ensure deterministic behavior
seed = 42
torch.backends.cudnn.deterministic = True
random.seed(hash("setting random seeds") % 2**32 - 1)
np.random.seed(hash("improves reproducibility") % 2**32 - 1)
torch.manual_seed(hash("by removing stochasticity") % 2**32 - 1)
torch.cuda.manual_seed_all(hash("so runs are repeatable") % 2**32 - 1)
random.seed(seed)
np.random.seed(seed)
torch.manual_seed(seed)
torch.cuda.manual_seed_all(seed)

# Device configuration
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
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