i have the nvidia1 device in my docker container, as
work@benchmark:~$ ls -al /dev | grep nvi
crw-rw-rw- 1 root root 195, 1 May 15 00:23 nvidia1
crw-rw-rw- 1 root root 195, 255 May 15 00:23 nvidiactl
crw-rw-rw- 1 root root 234, 0 May 15 00:23 nvidia-uvm
crw-rw-rw- 1 root root 234, 1 May 15 00:23 nvidia-uvm-tools
and i build the nvml example in my container, the example can print the info of gpu
work@benchmark:/usr/local/cuda/nvml/example$ ./example
Found 1 device
Listing devices:
0. Tesla V100-SXM2-32GB
Changing device's compute mode from 'Default' to 'Prohibited'
Need root privileges to do that: Insufficient Permissions
All done.
Press ENTER to continue...
finally, i use the cuda cudaGetDeviceCount api to find the gpu, but it turns out there is any gpus (or no-CUDA-capable device is detected) …
work@benchmark:~$ cat hi.cu
// CUDA Device Query
#include <stdio.h>
int main()
{
// Number of CUDA devices
int devCount = 0;
printf("CUDA Device Query...\n");
cudaError_t err = cudaGetDeviceCount(&devCount);
if (err != cudaSuccess) printf("%s\n", cudaGetErrorString(err));
printf("There are %d CUDA devices.\n", devCount);
return 0;
}
work@benchmark:~$ ./a.out
CUDA Device Query...
no CUDA-capable device is detected
There are 0 CUDA devices.
does any one has ideas to fix my case ?
OS: Ubuntu16.04.3
CUDA: 10.0
Driver Version: 410.104
Nvidia GPU: Tesla V100-SXM2-32GB
and i also try set the CUDA_VISIBLE_DEVICES=1, and the cuda still also not work