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cuda-10.1 refuses to go


CUDA sample code did not get installed through sudo apt-get install nvidia-cuda-toolkit; any solutions?Finding NVCC on ServerMok Manager/NVIDIA Driver Issue After CUDA InstallInstall Nvidia drivers with cuda 10.0, ubuntu 18.04 and tensorflow gpu 1.13How to install cuda 10.0 with nvidia-418 driver on Ubuntu 19.04?Problems installing CUDA 10.0Can't install anything but cuda 10.1 with driver version 430






.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty
margin-bottom:0;









0

















After intalling cuda-10.1, I realized that it doesn't work with tensorflow 1.13.1, so I had to downgrade to cuda-10.0.



I tried for a very long time, and at the end seem to have purged 10.1 (sudo apt purge cuda*), and then installed 10.0 successfully. However, even after reboot, nvidia-smi still comes up with version 10.1.



I removed cuda.list before the purge, as well as the cuda-10.1 directory under /usr/local.



nvcc --version now shows 10.0.



How is Ubuntu 16.04 hanging on cuda-10.1?










share|improve this question























  • 1





    What is the output of nvcc -V? As far as I know the nvidia-smi reports that even if you don't have CUDA installed at all.

    – Terrance
    Jul 26 at 23:45











  • nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2018 NVIDIA Corporation Built on Sat_Aug_25_21:08:01_CDT_2018 Cuda compilation tools, release 10.0, V10.0.130. not sure I agree if you are saying to ignore what nvidia-smi shows. One evidence is that tensorflow 1.13.1 still can not detect the GPU.

    – bhomass
    Jul 27 at 9:27












  • I am running CUDA 10.1 and my nvidia-smi reads CUDA 10.2. If I uninstall and not have CUDA installed it still reads CUDA 10.2. This will probably help: stackoverflow.com/questions/53422407/…

    – Terrance
    Jul 27 at 14:06











  • ok, I see there is the possibility of nvidia-smi reporting a different cuda version. This does not move my installation forward however. I know the runtime version is in compliance with the tensorflow version, but tensorflow can't see the gpu still.

    – bhomass
    Aug 1 at 23:31

















0

















After intalling cuda-10.1, I realized that it doesn't work with tensorflow 1.13.1, so I had to downgrade to cuda-10.0.



I tried for a very long time, and at the end seem to have purged 10.1 (sudo apt purge cuda*), and then installed 10.0 successfully. However, even after reboot, nvidia-smi still comes up with version 10.1.



I removed cuda.list before the purge, as well as the cuda-10.1 directory under /usr/local.



nvcc --version now shows 10.0.



How is Ubuntu 16.04 hanging on cuda-10.1?










share|improve this question























  • 1





    What is the output of nvcc -V? As far as I know the nvidia-smi reports that even if you don't have CUDA installed at all.

    – Terrance
    Jul 26 at 23:45











  • nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2018 NVIDIA Corporation Built on Sat_Aug_25_21:08:01_CDT_2018 Cuda compilation tools, release 10.0, V10.0.130. not sure I agree if you are saying to ignore what nvidia-smi shows. One evidence is that tensorflow 1.13.1 still can not detect the GPU.

    – bhomass
    Jul 27 at 9:27












  • I am running CUDA 10.1 and my nvidia-smi reads CUDA 10.2. If I uninstall and not have CUDA installed it still reads CUDA 10.2. This will probably help: stackoverflow.com/questions/53422407/…

    – Terrance
    Jul 27 at 14:06











  • ok, I see there is the possibility of nvidia-smi reporting a different cuda version. This does not move my installation forward however. I know the runtime version is in compliance with the tensorflow version, but tensorflow can't see the gpu still.

    – bhomass
    Aug 1 at 23:31













0












0








0








After intalling cuda-10.1, I realized that it doesn't work with tensorflow 1.13.1, so I had to downgrade to cuda-10.0.



I tried for a very long time, and at the end seem to have purged 10.1 (sudo apt purge cuda*), and then installed 10.0 successfully. However, even after reboot, nvidia-smi still comes up with version 10.1.



I removed cuda.list before the purge, as well as the cuda-10.1 directory under /usr/local.



nvcc --version now shows 10.0.



How is Ubuntu 16.04 hanging on cuda-10.1?










share|improve this question

















After intalling cuda-10.1, I realized that it doesn't work with tensorflow 1.13.1, so I had to downgrade to cuda-10.0.



I tried for a very long time, and at the end seem to have purged 10.1 (sudo apt purge cuda*), and then installed 10.0 successfully. However, even after reboot, nvidia-smi still comes up with version 10.1.



I removed cuda.list before the purge, as well as the cuda-10.1 directory under /usr/local.



nvcc --version now shows 10.0.



How is Ubuntu 16.04 hanging on cuda-10.1?







nvidia cuda tensorflow






share|improve this question
















share|improve this question













share|improve this question




share|improve this question








edited Jul 27 at 0:22









Eliah Kagan

92.7k25 gold badges255 silver badges409 bronze badges




92.7k25 gold badges255 silver badges409 bronze badges










asked Jul 26 at 22:05









bhomassbhomass

1011 bronze badge




1011 bronze badge










  • 1





    What is the output of nvcc -V? As far as I know the nvidia-smi reports that even if you don't have CUDA installed at all.

    – Terrance
    Jul 26 at 23:45











  • nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2018 NVIDIA Corporation Built on Sat_Aug_25_21:08:01_CDT_2018 Cuda compilation tools, release 10.0, V10.0.130. not sure I agree if you are saying to ignore what nvidia-smi shows. One evidence is that tensorflow 1.13.1 still can not detect the GPU.

    – bhomass
    Jul 27 at 9:27












  • I am running CUDA 10.1 and my nvidia-smi reads CUDA 10.2. If I uninstall and not have CUDA installed it still reads CUDA 10.2. This will probably help: stackoverflow.com/questions/53422407/…

    – Terrance
    Jul 27 at 14:06











  • ok, I see there is the possibility of nvidia-smi reporting a different cuda version. This does not move my installation forward however. I know the runtime version is in compliance with the tensorflow version, but tensorflow can't see the gpu still.

    – bhomass
    Aug 1 at 23:31












  • 1





    What is the output of nvcc -V? As far as I know the nvidia-smi reports that even if you don't have CUDA installed at all.

    – Terrance
    Jul 26 at 23:45











  • nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2018 NVIDIA Corporation Built on Sat_Aug_25_21:08:01_CDT_2018 Cuda compilation tools, release 10.0, V10.0.130. not sure I agree if you are saying to ignore what nvidia-smi shows. One evidence is that tensorflow 1.13.1 still can not detect the GPU.

    – bhomass
    Jul 27 at 9:27












  • I am running CUDA 10.1 and my nvidia-smi reads CUDA 10.2. If I uninstall and not have CUDA installed it still reads CUDA 10.2. This will probably help: stackoverflow.com/questions/53422407/…

    – Terrance
    Jul 27 at 14:06











  • ok, I see there is the possibility of nvidia-smi reporting a different cuda version. This does not move my installation forward however. I know the runtime version is in compliance with the tensorflow version, but tensorflow can't see the gpu still.

    – bhomass
    Aug 1 at 23:31







1




1





What is the output of nvcc -V? As far as I know the nvidia-smi reports that even if you don't have CUDA installed at all.

– Terrance
Jul 26 at 23:45





What is the output of nvcc -V? As far as I know the nvidia-smi reports that even if you don't have CUDA installed at all.

– Terrance
Jul 26 at 23:45













nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2018 NVIDIA Corporation Built on Sat_Aug_25_21:08:01_CDT_2018 Cuda compilation tools, release 10.0, V10.0.130. not sure I agree if you are saying to ignore what nvidia-smi shows. One evidence is that tensorflow 1.13.1 still can not detect the GPU.

– bhomass
Jul 27 at 9:27






nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2018 NVIDIA Corporation Built on Sat_Aug_25_21:08:01_CDT_2018 Cuda compilation tools, release 10.0, V10.0.130. not sure I agree if you are saying to ignore what nvidia-smi shows. One evidence is that tensorflow 1.13.1 still can not detect the GPU.

– bhomass
Jul 27 at 9:27














I am running CUDA 10.1 and my nvidia-smi reads CUDA 10.2. If I uninstall and not have CUDA installed it still reads CUDA 10.2. This will probably help: stackoverflow.com/questions/53422407/…

– Terrance
Jul 27 at 14:06





I am running CUDA 10.1 and my nvidia-smi reads CUDA 10.2. If I uninstall and not have CUDA installed it still reads CUDA 10.2. This will probably help: stackoverflow.com/questions/53422407/…

– Terrance
Jul 27 at 14:06













ok, I see there is the possibility of nvidia-smi reporting a different cuda version. This does not move my installation forward however. I know the runtime version is in compliance with the tensorflow version, but tensorflow can't see the gpu still.

– bhomass
Aug 1 at 23:31





ok, I see there is the possibility of nvidia-smi reporting a different cuda version. This does not move my installation forward however. I know the runtime version is in compliance with the tensorflow version, but tensorflow can't see the gpu still.

– bhomass
Aug 1 at 23:31










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