2
votes

My env configuration:

python:3.6 tensorflow-GPU 1.3 CUDA:9.0 VS:2013 torch:0.4.0

run CUDA 9.0 sample:success

but when I run the pytorch code,I get the error info as follows:

File "D:\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 249, in return self._apply(lambda t: t.cuda(device)) RuntimeError: cuda runtime error (35) : CUDA driver version is insufficient for CUDA runtime version at ..\src\THC\THCGeneral.cpp:70

I have tried reinstall CUDA,but the error still exists

1
Can I know your GPU model and version?Siddharth Das

1 Answers

1
votes

It is telling you the GPU driver you have installed cannot cope with the CUDA version you are using. Either update your driver to the latest version or downgrade your CUDA runtime to a version supported by your GPU driver.