# run on wsl2 with tensorflow GPU suport
docker run --name dl-tf --gpus all -it \
-v /tmp/.X11-unix:/tmp/.X11-unix -v /mnt/wslg:/mnt/wslg \
-v $PWD:/workspaces/deep-learning -w /workspaces/deep-learning \
-v $HOME/.deep-learning:/home/devel/.deep-learning \
-e PYTHONPATH=. -e DISPLAY -e WAYLAND_DISPLAY -e XDG_RUNTIME_DIR -e PULSE_SERVER \
jianshao/tf-gpu:2.15.0
# run on wsl2 with pytorch GPU suport
docker run --name dl-pt --gpus all -it \
-v /tmp/.X11-unix:/tmp/.X11-unix -v /mnt/wslg:/mnt/wslg \
-v $PWD:/workspaces/deep-learning -w /workspaces/deep-learning \
-v $HOME/.deep-learning:/home/devel/.deep-learning \
-e PYTHONPATH=. -e DISPLAY -e WAYLAND_DISPLAY -e XDG_RUNTIME_DIR -e PULSE_SERVER \
jianshao/pt-gpu:cuda12.1 /bin/bash
jianshaow/deep-learning
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