CUDA driver version is insufficient for CUDA runtime version

Question

I got the message:

\"cutilCheckMsg() CUTIL CUDA error :
kernel launch failure : CUDA driver
version is insufficient for CUDA
runtime

Answer 1

This is what has worked for me :

1. Installing TensorFlow version 1.14, installing keras
2. Install CUDA 10.0 from https://developer.nvidia.com/cuda-10.0-download-archive?target_os=Windows&target_arch=x86_64&target_version=10&target_type=exenetwork for windows
3. Download the compatible CuDNN i.e 7.4.2 from https://developer.nvidia.com/rdp/cudnn-archive
4. set the following in the path variable cudnn-10.0-windows10-x64-v7.4.2.24\cuda\bin cudnn-10.0-windows10-x64-v7.4.2.24\cuda\include cudnn-10.0-windows10-x64-v7.4.2.24\cuda\lib\x64
5. Restart the Pc

Answer 2

Maybe it is related to the TBB lib: Error OpenCV with CUDA using TBB for multiple GPUs

Try rebuilding it making sure you passed the following parameters to CMake (assuming you already installed "tbb" and "tbb-devel" packages:

-D WITH_TBB=YES -D TBB_INCLUDE_DIRS=/usr/include/tbb