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nvidia-smi 下的 GPU 编号默认使用 PCI_BUS_ID,而 PyTorch 代码默认情况下设备排序是 FASTEST_FIRST,可以看看这篇文章https://blog.csdn.net/sdnuwjw/article/details/111615052 |
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为什么设置了set CUDA_VISIBLE_DEVICES=1 ,但并没有选择,标号为1的gpu进行训练
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