torch.cuda.manual_seed_all(222)
时间: 2024-03-09 15:35:29 浏览: 83
torch_cluster-1.5.4-cp38-cp38-linux_x86_64whl.zip
This function sets the random seed for all GPUs to 222, which ensures reproducibility of results when using GPU-accelerated computations in PyTorch.
The `torch.cuda.manual_seed_all()` function is used to set the random seed for all GPUs in the system. This means that if there are multiple GPUs available, the random seed will be set for all of them.
Setting the random seed is important when working with deep learning models because many operations involve a degree of randomness. For example, initializing the weights of a neural network involves randomly assigning values to the weights. If we don't set the random seed, we may get different results each time we run the code.
By setting the random seed, we ensure that the results we get are deterministic and reproducible. This is especially important when we are trying to compare different models or when we want to reproduce a result that we have obtained previously.
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