I have been trying to use a specific pretrained machine learning model for captioning pictures. I have been using https://github.com/unnonouno/densecap .
It comes with a Dockerfile setting up a whole cuda/torch/cudnn environement.
Predictions on a new picture are made by running the run_model.lua script. It does work when running it on the CPU by passing -gpu -1 but not when removing the arguement and running it on the GPU. I get the following error in that case:
THCudaCheck FAIL file=/tmp/luarocks_cutorch-scm-1-8398/cutorch/lib/THC/THCGeneral.c line=70 error=35 : CUDA driver version is insufficient for CUDA runtime version
/root/torch/install/bin/luajit:
/root/torch/install/share/lua/5.1/trepl/init.lua:389: loop or previous error loading module 'cutorch'
stack traceback:
[C]: in function 'error'
/root/torch/install/share/lua/5.1/trepl/init.lua:389: in function 'require'
./densecap/utils.lua:26: in function 'setup_gpus'
run_model.lua:145: in main chunk
[C]: in function 'dofile'
/root/torch/install/lib/luarocks/rocks/trepl/scm-1/bin/th:150: in main chunk
[C]: at 0x00406670
I have tried different things such as reinstalling cudnn by runnign luarocks install cudnn or downgrading from cudnn5 to cudnn4 without any success.
The issue appears to be with your CUDA driver:
CUDA driver version is insufficient for CUDA runtime version
Take a look at similar discussions here.
No need to change your cuDNN version. You just need to rectify your CUDA driver/toolkit compatibility.