I ever updated NVIDIA driver to newest version and CUDA from 8.0 to 10.0, but the problem was still existed. I didn’t update PyTorch because I didn’t know if algorithm could compile in latest PyTorch version, but I can try it. Thanks!
I want to know the relation between PyTorch and CUDA, can PyTorch destroy CUDA environment? If the worst case occurs, firstly, deviceQuery shows PASS after I reboot system, secondly, PyTorch always reports unknown error when I run it, then deviceQuery shows error 30. Reboot and reinstall driver and CUDA can’t resolve problem, I must reinstall ubuntu system. I think if I know the relation between PyTorch and CUDA, I can back up files which are modified by PyTorch, I can recover them after CUDA environment is broken, at least recovery files is better than reinstalling system.