Hi everyone!
So as you can see from my terminal’s output, I have a 390.30 driver, a 9.1 cuda toolkit,
and yet my pytorch package is complaining that my driver is too old.
AFAIK, cudaDriverGetVersion returns 5000, when my actual driver vertsion is 390.30.
The only version of pytorch I can try right now is the one compatible with 9.1- I don’t see cuda 8 or 9.0 still available at Nvidia’s website :P
What should I do in order to fix this?
Here’s my termial output in case this will help you:
P.S. thanks in advnace! :)
yoni@yoni-Lenovo-Z710:~$ nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2017 NVIDIA Corporation
Built on Fri_Nov__3_21:07:56_CDT_2017
Cuda compilation tools, release 9.1, V9.1.85
yoni@yoni-Lenovo-Z710:~$ nvidia-smi
Mon Feb 19 19:03:17 2018
±----------------------------------------------------------------------------+
| NVIDIA-SMI 390.30 Driver Version: 390.30 |
|-------------------------------±---------------------±---------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 GeForce 840M Off | 00000000:01:00.0 Off | N/A |
| N/A 42C P8 N/A / N/A | 294MiB / 2004MiB | 0% Default |
±------------------------------±---------------------±---------------------+
±----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 1607 G /usr/lib/xorg/Xorg 134MiB |
| 0 2820 G compiz 54MiB |
| 0 3347 G …-token=5C0640A411AB5E45B1719A458ACCAC5D 101MiB |
±----------------------------------------------------------------------------+
yoni@yoni-Lenovo-Z710:~$ python3
Python 3.5.2 (default, Nov 23 2017, 16:37:01)
[GCC 5.4.0 20160609] on linux
Type “help”, “copyright”, “credits” or “license” for more information.
import torch
torch.version
‘0.3.1’
torch.randperm(5).cuda()
Traceback (most recent call last):
File “”, line 1, in
File “/usr/local/lib/python3.5/dist-packages/torch/_utils.py”, line 69, in cuda
return new_type(self.size()).copy(self, async)
File “/usr/local/lib/python3.5/dist-packages/torch/cuda/init.py”, line 384, in _lazy_new
_lazy_init()
File “/usr/local/lib/python3.5/dist-packages/torch/cuda/init.py”, line 141, in _lazy_init
_check_driver()
File “/usr/local/lib/python3.5/dist-packages/torch/cuda/init.py”, line 71, in _check_driver
of the CUDA driver.“”".format(str(torch._C._cuda_getDriverVersion())))
AssertionError:
The NVIDIA driver on your system is too old (found version 5000).
Please update your GPU driver by downloading and installing a new
version from the URL: Official Drivers | NVIDIA
Alternatively, go to: http://pytorch.org to install
a PyTorch version that has been compiled with your version
of the CUDA driver.