- GCC-8, G++-8 for building CUDA 10.2 related applications
- build-essential package (g++-9, gcc-9, make, dpkg-dev, libc6-dev)
Pull the docker container
docker pull ghcr.io/kalanaratnayake/jetson-minimal:r32.7.1
Build the docker container
docker buildx build --load --platform linux/arm64 -f minimal-images/r3271.Dockerfile -t jetson-minimal:r32.7.1 .
Start the docker container
docker run --rm -it --runtime nvidia --network host --gpus all -e DISPLAY ghcr.io/kalanaratnayake/jetson-minimal:r32.7.1 bash
Run the following commands inside the docker container to test the nvcc and other jetson nano specific functionality
/usr/local/cuda-10.2/bin/cuda-install-samples-10.2.sh .
cd /NVIDIA_CUDA-10.2_Samples/1_Utilities/deviceQuery
make clean
make HOST_COMPILER=/usr/bin/g++-8
./deviceQuery