CUDA错误，显示CUDA driver version is insufficient for CUDA runtime
Created by: lambert-lan
1）GPU：Tesla V100 , CUDA版本：9.0.176, CUDNN版本：7.3.1 2) Paddlepaddle版本：1.6.0 3）系统环境：CentOS 7.3、Python版本: 3.6.8
docker内离线安装paddle成功后 运行python程序
import paddle.fluid W0622 14:37:39.086642 36544 init.cc:132] Compiled with WITH_GPU, but no GPU found in runtime. paddle.fluid.install_check.run_check() Running Verify Fluid Program ... WARNING:root:You are using GPU version Paddle Fluid, But Your CUDA Device is not set properly Original Error is 0 std::string paddle::platform::GetTraceBackString<char const*>(char const*&&, char const*, int) 1 paddle::platform::EnforceNotMet::EnforceNotMet(std::__exception_ptr::exception_ptr, char const*, int) 2 paddle::platform::GetCUDADeviceCount() PaddleCheckError: cudaGetDeviceCount failed in paddle::platform::GetCUDADeviceCountImpl, error code : 35, Please see detail in https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__TYPES.html#group__CUDART__TYPES_1g3f51e3575c2178246db0a94a430e0038: CUDA driver version is insufficient for CUDA runtime version at [/paddle/paddle/fluid/platform/gpu_info.cc:67]
***注： 同环境下运行tensorflow和torch检查GPU均无问题
麻烦指教，谢谢