When using Docker on 6.0.10, an error occurred：code=801(cudaErrorNotSupported) "cudaGetDeviceCount(&device_count)"

Autonomous Vehicles DRIVE AGX Orin DRIVE AGX Orin General
1

Please provide the following info (tick the boxes after creating this topic):
Software Version
[√] DRIVE OS 6.0.10.0
DRIVE OS 6.0.8.1
DRIVE OS 6.0.6
DRIVE OS 6.0.5
DRIVE OS 6.0.4 (rev. 1)
DRIVE OS 6.0.4 SDK
other

Target Operating System
[√] Linux
QNX
other

Hardware Platform
DRIVE AGX Orin Developer Kit (940-63710-0010-300)
DRIVE AGX Orin Developer Kit (940-63710-0010-200)
[√] DRIVE AGX Orin Developer Kit (940-63710-0010-100)
DRIVE AGX Orin Developer Kit (940-63710-0010-D00)
DRIVE AGX Orin Developer Kit (940-63710-0010-C00)
DRIVE AGX Orin Developer Kit (not sure its number)
other

SDK Manager Version
2.1.0
[√] other

Host Machine Version
native Ubuntu Linux 20.04 Host installed with SDK Manager
[√] native Ubuntu Linux 20.04 Host installed with DRIVE OS Docker Containers
native Ubuntu Linux 18.04 Host installed with DRIVE OS Docker Containers
other

Issue Description
I executed the following command on 6.0.10 OS, but occurred an error. Any pointers why I see this issue with cuda?

Error String
CUDA error at …/…/common/inc/helper_cuda.h:781 code=801(cudaErrorNotSupported)
Logs

nvidia@tegra-ubuntu:/usr/local/cuda-11.4/samples/0_Simple/matrixMul$ sudo make 
>>> GCC Version is greater or equal to 4.7.0 <<<
/usr/local/cuda-11.4/bin/nvcc -ccbin g++ -I../../common/inc  -m64    --threads 0 --std=c++11 -gencode arch=compute_53,code=sm_53 -gencode arch=compute_61,code=sm_61 -gencode arch=compute_62,code=sm_62 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_72,code=sm_72 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -gencode arch=compute_87,code=sm_87 -gencode arch=compute_87,code=compute_87 -o matrixMul.o -c matrixMul.cu
/usr/local/cuda-11.4/bin/nvcc -ccbin g++   -m64      -gencode arch=compute_53,code=sm_53 -gencode arch=compute_61,code=sm_61 -gencode arch=compute_62,code=sm_62 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_72,code=sm_72 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -gencode arch=compute_87,code=sm_87 -gencode arch=compute_87,code=compute_87 -o matrixMul matrixMul.o 

nvidia@tegra-ubuntu:/usr/local/cuda-11.4/samples/0_Simple/matrixMul$ sudo docker run --runtime nvidia --network host --gpus all -v $(pwd):$(pwd) -w $(pwd) ubuntu:20.04 ./matrixMul
CUDA error at ../../common/inc/helper_cuda.h:781 code=801(cudaErrorNotSupported) "cudaGetDeviceCount(&device_count)" 
[Matrix Multiply Using CUDA] - Starting
3

Dear @AlanWang ,
I updated the topic content to separate Error string and Logs.
Please add–privileged flag to used command

nvidia@tegra-ubuntu:/usr/local/cuda-11.4/samples/0_Simple/matrixMul$ sudo docker run --rm --privileged --network host --runtime nvidia --gpus all -v $(pwd):$(pwd) -w $(pwd) ubuntu:20.04 ./matrixMul
[sudo] password for nvidia:
[Matrix Multiply Using CUDA] - Starting...
GPU Device 0: "Ampere" with compute capability 8.7

MatrixA(320,320), MatrixB(640,320)
Computing result using CUDA Kernel...
done
Performance= 618.30 GFlop/s, Time= 0.212 msec, Size= 131072000 Ops, WorkgroupSize= 1024 threads/block
Checking computed result for correctness: Result = PASS

NOTE: The CUDA Samples are not meant for performancemeasurements. Results may vary when GPU Boost is enabled.
1 Like
4

Thank you, it worked well.