CUDA devcontainer for C/C++ development (with X11 Forwarding)

#cuda-cpp-x11-devcontainer

CUDA devcontainer for C/C++ development (with X11 Forwarding)

Check https://github.com/luisgizirian/cuda-image-builders

**Not a bulletproof implementation**. Errors might appear given your environment.

Make sure 'xauth' is installed in the host to ensure a correct X11 flow.

To install (for debian based systems) run: `sudo apt-get install -y xauth`

If it doesn't work, run this command, `xauth generate :0 . trusted`, and rebuild the container

devcontainer.json

{
	"name": "Jetson Orin Nano CUDA ready for C/C++ (with X11 Forwarding)",
	"dockerFile": "Dockerfile.cuda",
	
	"customizations": {
		"vscode": {
            "extensions": [
				"ms-vscode.cpptools-extension-pack",
				"NVIDIA.nsight-vscode-edition"
			]
		}
	},

	"runArgs": [
		"--net=host",
		"--privileged",
		"--runtime",
		"nvidia"
	]
}

Dockerfile.cuda

FROM nvcr.io/nvidia/l4t-base:35.4.1

VOLUME /tmp/.X11-unix:/tmp/.X11-unix:rw
VOLUME $HOME/.Xauthority:/root/.Xauthority

#
# `sudo` for sudo (util needed for execution)
# `nvidia-cuda-dev` for CUDA developer packages (optionally `nvidia-cuda` for CUDA runtime only)
# `xauth` for X11 forwarding
# `libsfml-dev` for SFML
# `git` for git
# `htop` for htop (optional)
#
RUN apt-get update && apt-get install -y --no-install-recommends \
    sudo nvidia-cuda-dev xauth libsfml-dev git htop \
    && rm -rf /var/lib/apt/lists/* \
    && apt-get clean

#Update libraries
RUN ldconfig 

#
# Setup environment variables
#
ENV CUDA_HOME="/usr/local/cuda"
ENV PATH="/usr/local/cuda/bin:$PATH"
ENV LD_LIBRARY_PATH="/usr/local/cuda/lib64:$LD_LIBRARY_PATH"
ENV XAUTHORITY /root/.Xauthority
ENV DISPLAY="$DISPLAY"