WSL with CUDA support

Windows Subsystem for Linux with CUDA support + TensorFlow Let me save you many hours of pain and just give you the rundown. * You MUST be on Windows 10 21H2. 21H2 cannot currently be updated to (yeah, it's because they are pushing Windows 11) so you need to download it as an ISO + install with USB. * Install the latest "game ready driver" for your card (you don't need a special driver despite the nvidia documentation, I got mine here: https://ift.tt/1OtSyri). * In general you should ignore the nvidia documentation as they make it almost impossible to figure out what combination of cuda & cudnn versions you need. Steps to install: 1. Open CMD as administrator. 2. Run: wsl --install -d ubuntu 3. Open the Ubuntu WSL and enter the following commands: # Install CUDA sudo apt-key adv --fetch-keys https://ift.tt/3tT8BtV sudo sh -c 'echo "deb https://ift.tt/3fKz3Of /" > /etc/apt/sources.list.d/cuda.list' sudo apt-get update sudo apt-get --yes install cuda-toolkit-11-2 cuda-toolkit-11-2 sudo sh -c 'echo "deb https://ift.tt/3rDFS9F /" > /etc/apt/sources.list.d/nvidia-machine-learning.list' sudo apt-get update sudo apt install cuda-11-2 libcudnn8 libcudnn8-dev sudo apt install libnvinfer8 libnvinfer-dev libnvinfer-plugin8 # Verify CUDA installation cd /usr/local/cuda-11.2/samples/4_Finance/BlackScholes sudo make ./BlackScholes # Install TensorFlow pip3 install tensorflow-gpu If you are reading this in the future I have some advice for you: * Look at this page: https://ift.tt/35f68Qj * Use apt-cache search <THING> to see the possible versions, allowing you to guess what you need to install. Good luck.

from Hacker News https://ift.tt/3GRSYGZ