CUDA driver version is insufficient for CUDA runtime version

前端 未结 8 1177
抹茶落季
抹茶落季 2020-12-05 13:48

I got the message:

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

8条回答
  •  星月不相逢
    2020-12-05 14:27

    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

提交回复
热议问题