HI，

在AISTUDIO高级算力版本， NVIDA-SMI 可以看到GPU ON， 但 nvidia-smi -q 却常常看不到 CUDA: 10.1[若有的话在 driver version 下面]， 有时偶尔有一两次才看到，就算在每天22：00之后也是这样

但只要看不到CUDA: 10.1  paddlepaddle 就无法运行在GPU 上， 相关信息下：， 请看看是什么问题，谢谢

(paddleenv) aistudio@jupyter-203853-674408:~/work/Parakeet/examples/clarinet$ bash train.sh
W0805 22:11:37.658751 1877 init.cc:134] Compiled with WITH_GPU, but no GPU found in runtime.
Traceback (most recent call last):
File "train.py", line 73, in
place = fluid.CUDAPlace(args.device)
paddle.fluid.core_avx.EnforceNotMet:

--------------------------------------------
C++ Call Stacks (More useful to developers):
--------------------------------------------
0 std::string paddle::platform::GetTraceBackString(char const*&&, char const*, int)
1 paddle::platform::EnforceNotMet::EnforceNotMet(std::__exception_ptr::exception_ptr, char const*, int)
2 paddle::platform::GetCUDADeviceCount()

----------------------
Error Message Summary:
----------------------
ExternalError: Cuda error(35), CUDA driver version is insufficient for CUDA runtime version.
[Advise: This indicates that the installed NVIDIA CUDA driver is older than the CUDA runtime library. This is not a supported configuration.Users should install an updated NVIDIA display driver to allow the application to run.] at (/paddle/paddle/fluid/platform/gpu_info.cc:65)