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Cuda 9.2 support? #1151

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CharAznableLoNZ opened this issue May 22, 2018 · 7 comments
Open

Cuda 9.2 support? #1151

CharAznableLoNZ opened this issue May 22, 2018 · 7 comments

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@CharAznableLoNZ
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Freshly installed torch and built cutorch on a machine running cuda 9.2. Everything built correctly however when I tried to utilize it, it appears 9.2 is not recognized. Any information I can provide I'd be more than happy to. I opened an issue on the torch/cutorch git however it's been 5 days without any response so I'm bringing it here.

user@Nagisa:~/waifu2x$ th web.lua
THCudaCheck FAIL file=/home/user/torch/extra/cutorch/lib/THC/THCGeneral.c line=70 error=35 : CUDA driver version is insufficient for CUDA runtime version
/home/user/torch/install/bin/luajit: /home/user/torch/install/share/lua/5.1/trepl/init.lua:389: lib/w2nn.lua:18: Failed to load CUDA modules. Please check the CUDA Settings.
/home/user/torch/install/share/lua/5.1/trepl/init.lua:389: cuda runtime error (35) : CUDA driver version is insufficient for CUDA runtime version at /home/user/torch/extra/cutorch/lib/THC/THCGeneral.c:70
stack traceback:
[C]: in function 'error'
/home/user/torch/install/share/lua/5.1/trepl/init.lua:389: in function 'require'
web.lua:7: in main chunk
[C]: in function 'dofile'
...user/torch/install/lib/luarocks/rocks/trepl/scm-1/bin/th:150: in main chunk
[C]: at 0x00405d50

@stu17682
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stu17682 commented May 22, 2018 via email

@CharAznableLoNZ
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The driver were just updated to 396 along with the latest available cuda 9.2. The issue is 9.2 is not recognized by torch as a supported version.

@CharAznableLoNZ
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A bump since it's been a week.

@CharAznableLoNZ
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Two weeks now, guess I'll roll back to Cuda 9.1 since no interest in supporting 9.2 has been shown.

@cvvs
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cvvs commented Jul 3, 2018

They've abandoned it, so I wouldn't expect any enhancements. #1158

@tastyminerals
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This has nothing to do with Torch. Torch is working fine with CUDA 9.2. The problem is your drivers.

@tastyminerals
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tastyminerals commented Jul 3, 2018

@cvvs Torch is not abandoned. It is in maintenance mode which means bug fixing only, no new features since core team moved to PyTorch. Torch shall remain a legacy go-to code base for those who want to know how things work under the hood.

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4 participants