Issue on windows WSL 2 Ubuntu docker: nvidia.com/gpu=all is not an absolute path.

[wirytiox]

i am using docker desktop and WSL and i am triying to get this to run, i installed it following the steps in the linux installation guide and i keep getting this error:

sudo docker run --rm -it \
    --device nvidia.com/gpu=all \
    -e CUDA=true \
    docker.io/metal3d/xmrig

docker: nvidia.com/gpu=all is not an absolute path.
See 'docker run --help'.

when i take out the --device nvidia.com/gpu=all i see this message CUDA disabled (/xmrig/libxmrig-cuda.so: cannot open shared object file: No such file or directory) and it keeps repeating

[wirytiox]

i also tried:
wget https://developer.download.nvidia.com/compute/cuda/12.3.2/local_installers/cuda_12.3.2_545.23.08_linux.run
sudo sh cuda_12.3.2_545.23.08_linux.run

also https://docs.nvidia.com/cuda/wsl-user-guide/index.html#getting-started-with-cuda-on-wsl-2

wget https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64/cuda-keyring_1.1-1_all.deb
sudo dpkg -i cuda-keyring_1.1-1_all.deb
sudo apt-get update
sudo apt-get -y install cuda-toolkit-12-3

it seems to instal A LOT of stuff yet still doesn't work

i also tried:

sudo docker run --name miner --rm -it\
    --gpus all \
    -e CUDA=true \
    -e POOL_URL=$POOL_URL \
    -e POOL_USER=$POOL_USER \
    -e POOL_PASS=$POOL_PASS \
    -e DONATE_LEVEL=$DONATE_LEVEL \
    -e OTHERS_OPTS="--tls" \
    -e COIN="XMR" \
    docker.io/metal3d/xmrig

and got:

docker: Error response from daemon: failed to create task for container: failed to create shim task: OCI runtime create failed: runc create failed: unable to start container process: error during container init: error running hook #0: error running hook: exit status 1, stdout: , stderr: Auto-detected mode as 'legacy'
nvidia-container-cli: mount error: file creation failed: /var/lib/docker/overlay2/75428c7181166d422dbf96ebf3c24f1e8bc0c73e36dfa50e7bdb7907b4efc668/merged/usr/lib/x86_64-linux-gnu/libnvidia-ml.so.1: file exists: unknown

i also chated with chatgpt and tried this:

sudo rm -f /etc/systemd/system/nvidia-container-runtime.service.d/*
sudo systemctl daemon-reload
sudo systemctl restart docker

[wirytiox]

i searched this thread and it seems related to the image: NVIDIA/nvidia-container-toolkit#289
not sure if something can be modified but i am still researching
i tried even more stuff, like building the dockerfile without the nvidia stuff:

FROM ubuntu:22.04 as build-cuda-plugin
LABEL maintainer="Patrice Ferlet <metal3d@gmail.com>"

ARG CUDA_PLUGIN_VERSION=6.17.0
RUN set -xe; \
    apt update; \
    apt install -y wget build-essential cmake automake libtool autoconf; \
    apt install -y gcc-9 g++-9; \
    update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-9 100; \
    update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-9 100; \
    wget https://github.com/xmrig/xmrig-cuda/archive/refs/tags/v${CUDA_PLUGIN_VERSION}.tar.gz; \
    tar xf v${CUDA_PLUGIN_VERSION}.tar.gz; \
    mv xmrig-cuda-${CUDA_PLUGIN_VERSION} xmrig-cuda; \
    cd xmrig-cuda; \
    mkdir build; \
    cd build; \
    cmake ..; \
    make -j $(nproc);


FROM ubuntu:22.04 as build-runner
ARG VERSION=6.20.0
LABEL maintainer="Patrice Ferlet <metal3d@gmail.com>"

RUN set -xe; \
    apt update; \
    apt install -y wget build-essential cmake automake libtool autoconf; \
    apt install -y gcc-9 g++-9; \
    update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-9 100; \
    update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-9 100; \
    rm -rf /var/lib/apt/lists/*; \
    wget https://github.com/xmrig/xmrig/archive/refs/tags/v${VERSION}.tar.gz; \
    tar xf v${VERSION}.tar.gz; \
    mv xmrig-${VERSION} /xmrig; \
    cd /xmrig; \
    mkdir build; \
    cd scripts; \
    ./build_deps.sh; \
    cd ../build; \
    cmake .. -DXMRIG_DEPS=scripts/deps; \
    make -j $(nproc);
RUN set -xe; \
    cd /xmrig; \
    cp build/xmrig /xmrig


FROM ubuntu:22.04 as runner
LABEL maintainer="Patrice Ferlet <metal3d@gmail.com>"
LABEL org.opencontainers.image.source="https://github.com/metal3d/docker-xmrig"
LABEL org.opencontainers.image.description="XMRig miner with CUDA support on Docker, Podman, Kubernetes..." 
LABEL org.opencontainers.image.licenses="MIT"
RUN set -xe; \
    mkdir /xmrig; \
    apt update; \
    apt -y install jq; \
    rm -rf /var/lib/apt/lists/*
COPY --from=build-runner /xmrig/xmrig /xmrig/xmrig
COPY --from=build-runner /xmrig/src/config.json /xmrig/config.json
COPY --from=build-cuda-plugin /xmrig-cuda/build/libxmrig-cuda.so /usr/lib64/


ENV POOL_USER="44vjAVKLTFc7jxTv5ij1ifCv2YCFe3bpTgcRyR6uKg84iyFhrCesstmWNUppRCrxCsMorTP8QKxMrD3QfgQ41zsqMgPaXY5" \
    POOL_PASS="" \
    POOL_URL="xmr.metal3d.org:8080" \
    DONATE_LEVEL=5 \
    PRIORITY=0 \
    THREADS=0 \
    PATH="/xmrig:${PATH}" \
    CUDA=false \
    CUDA_BF="" \
    ALGO="" \
    COIN=""

WORKDIR /xmrig
ADD entrypoint.sh /entrypoint.sh
WORKDIR /tmp
EXPOSE 3000
ENTRYPOINT ["/entrypoint.sh"]
CMD ["xmrig"]