Hi ,everyone,
My machine is ubuntu16.04
I got 2 Tesla P100 ,
Firstly,I install nvidia-driver 418, the result is happy, I got
±----------------------------------------------------------------------------+
| NVIDIA-SMI 418.56 Driver Version: 418.56 |
|-------------------------------±---------------------±---------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+==|
| 0 Tesla P100-PCIE… Off | 00000000:00:04.0 Off | 0 |
| N/A 38C P0 26W / 250W | 82MiB / 16280MiB | 0% Default |
±------------------------------±---------------------±---------------------+
| 1 Tesla P100-PCIE… Off | 00000000:00:05.0 Off | 0 |
| N/A 38C P0 28W / 250W | 0MiB / 16280MiB | 0% Default |
±------------------------------±---------------------±---------------------+
±----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|===================================================|
| 0 1678 G /usr/lib/xorg/Xorg 82MiB |
±----------------------------------------------------------------------------+
Then I install cuda9.2(The reason why I didn’t choose cuda10.0 is that I want to use pytorch0.4 but it doesn’t support cuda10.0).
I got this:
nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2018 NVIDIA Corporation
Built on Tue_Jun_12_23:07:04_CDT_2018
Cuda compilation tools, release 9.2, V9.2.148
But when I check ,
cd /usr/local/cuda-9.2/samples/1_Utilities/deviceQuery
sudo make
./deviceQuery
it gave me CUDA driver version is insufficient for CUDA runtime version.
I installed nvidia-driver by
sudo apt-get install nvidia-418
And I installed cuda by download the cuda_9.2.148_396.37_linux and use sudo sh cuda_9.2.148_396.37_linux,(without installing the driver and I have set the relevant PATH).
Can anyone help me ?
(After I installed the driver418, I installed the cuda9.0 firstly,but it didn’t work because the same reason.Then I uninstalled it and tried the cuda9.2,)
Beg your help!