WSL Ubuntu setup 2011261142

00-status-WSL-Ubuntu-setup-20112611.md

Docker Desktop WSL 2 backend is not supported yet with GPUs. You will have to install Docker as you would traditionally in Linux for WSL 2 and then install NVIDIA Container Toolkit (or nvidia-docker2) for now. nvidia-container-toolkit and nvidia-docker2 in the end are just wrappers. There is a slight variation depending on which version of Docker you use (19.03 vs. 18.09), but if you chose to install nvidia-docker2, then that works across both releases of Docker. I’ll look into making that more clear in the documentation. nvidia-smi does not work because we don’t support NVML in WSL 2 yet - this is part of the Known Limitations in the user-guide. We will be adding support for it in the near future. https://forums.developer.nvidia.com/t/hiccups-setting-up-wsl2-cuda/128641

01-wsl-ubuntu-setup-2011261142.md

Intentions

• AI Linux Platform on Windows using GPU

Observed and issue resolution

What is NVidia-Docker and how do the GPU run on the docker container ?

Source : https://ngc.nvidia.com/catalog/containers/nvidia:pytorch

The two commands bellow makes me realize that Docker 19.03 with WSL 2 and experimental feature probably is already using the NVidia Driver when you run a container.

The ultimate test will be to run a training or inference that uses GPU and see if that works on the container.

docker run --gpus all -it --rm -v local_dir:container_dir nvcr.io/nvidia/pytorch:xx.xx-py3
#If you have Docker 19.02 or earlier, a typical command to launch the container is:
nvidia-docker run -it --rm -v local_dir:container_dir nvcr.io/nvidia/pytorch:xx.xx-py3

CUDA Nvidia

Following install instruction from network WSL

Nvidia-Cuda-download-WSLUbuntu-20-debnetwork

10-wsl-ubuntu-setup-2011261142.sh

# Install Build Essential
sudo apt update
sudo apt install build-essential


# download NVIdia Latest CUDA
wget https://developer.download.nvidia.com/compute/cuda/11.1.1/local_installers/cuda_11.1.1_455.32.00_linux.run
sudo sh cuda_11.1.1_455.32.00_linux.run
##@STCAction Accept and select option then install

99-install-log.md

CUDA

failed using the single file

Using the network setup instead

wget https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64/cuda-wsl-ubuntu.pin
sudo mv cuda-wsl-ubuntu.pin /etc/apt/preferences.d/cuda-repository-pin-600
sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64/7fa2af80.pub
sudo add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64/ /"
sudo apt-get update
sudo apt-get -y install cuda

SUCCEEDED

Running the container

Issue :(

sudo apt-get update && sudo apt-get install -y nvidia-container-toolkit
sudo apt-get install nvidia-container-runtime