Hi，I met some difficulties and tried all night without success.
My host OS:Ubuntu 18.04 GPU:NVIDIA 2070 Super CUDA_Version:10.2(host os) Driver_Version:440.100
I entered the command:
python scripts/run-flownet.py models/FlowNet2/FlowNet2_weights.caffemodel.h5 models/FlowNet2/FlowNet2_deploy.prototxt.template
Images/image_left/0001.png Images/image_left/0002.png
Images/image_left/01.flo
Then,the error as follows:
WARNING: Logging before InitGoogleLogging() is written to STDERR
F0626 15:00:13.070574 21 common.cpp:160] Check failed: error == cudaSuccess (35 vs. 0) CUDA driver version is insufficient for CUDA runtime version
Check failure stack trace:
Aborted (core dumped)
It seems that I have a problem with the driver version or CUDA version?But I do not know how to solve it,Please give me some advice,Thank you!
Hi，I met some difficulties and tried all night without success. My host OS:Ubuntu 18.04 GPU:NVIDIA 2070 Super CUDA_Version:10.2(host os) Driver_Version:440.100
I entered the command: python scripts/run-flownet.py models/FlowNet2/FlowNet2_weights.caffemodel.h5 models/FlowNet2/FlowNet2_deploy.prototxt.template
Images/image_left/0001.png Images/image_left/0002.png Images/image_left/01.flo
Then,the error as follows: WARNING: Logging before InitGoogleLogging() is written to STDERR F0626 15:00:13.070574 21 common.cpp:160] Check failed: error == cudaSuccess (35 vs. 0) CUDA driver version is insufficient for CUDA runtime version Check failure stack trace: Aborted (core dumped)
It seems that I have a problem with the driver version or CUDA version?But I do not know how to solve it,Please give me some advice,Thank you!