I build a image with caffe, Cuda8.0, cudnn5, and vnc sever.
By command line way,
docker exec -it container_name bash
I run py-faster-rcnn with caffe. It worked well.
But by VNC way, I use jumpdesktop to connect the same container through VNC. I run the same demo. It reported error.
WARNING: Logging before InitGoogleLogging() is written to STDERR
E1228 06:30:11.450963 3340 common.cpp:104] Cannot create Cublas handle. Cublas won't be available.
E1228 06:30:11.451587 3340 common.cpp:111] Cannot create Curand generator. Curand won't be available.
E1228 06:30:11.451587 3340 common.cpp:111] Cannot create Curand generator. Curand won't be available.
F1228 06:30:11.452177 3340 common.cpp:142] Check failed: error == cudaSuccess (35 vs. 0) CUDA driver version is insufficient for CUDA run\
time version
I build a image with
caffe,Cuda8.0,cudnn5, andvncsever.By command line way,
docker exec -it container_name bashI run
py-faster-rcnnwithcaffe. It worked well.But by
VNCway, I usejumpdesktopto connect the same container throughVNC. I run the same demo. It reported error.