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# GPU startup script v0.6.3 | |
# Check if this has been done before. Skip driver installation if so, just run Elpis | |
if [[ -f /etc/startup_installed ]]; | |
then | |
sudo chmod 666 /var/run/docker.sock | |
# Run Elpis (non-interactive so that Elpis starts automatically) | |
docker run -d --rm --name elpis --gpus all -p 80:5001/tcp -p 6006:6006/tcp coedl/elpis:latest | |
exit 0; | |
fi | |
# Otherwise, install all the things.. then run Elpis | |
# Install CUDA | |
sudo apt install linux-headers-$(uname -r) | |
curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-ubuntu2004.pin | |
sudo mv cuda-ubuntu2004.pin /etc/apt/preferences.d/cuda-repository-pin-600 | |
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-keyring_1.0-1_all.deb | |
sudo dpkg -i cuda-keyring_1.0-1_all.deb | |
sudo add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/ /" | |
sudo apt update | |
sudo apt -y install cuda | |
# Install NVIDIA Container Toolkit | |
curl https://get.docker.com | sh \ | |
&& sudo systemctl --now enable docker | |
distribution=$(. /etc/os-release;echo $ID$VERSION_ID) \ | |
&& curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add - \ | |
&& curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list | |
sudo apt-get update | |
sudo apt-get install -y nvidia-docker2 | |
sudo systemctl restart docker | |
sudo usermod -aG docker $USER | |
sudo chown $USER /var/run/docker.sock | |
sudo chmod 666 /var/run/docker.sock | |
# Handy little app to check NVIDIA GPUs stats | |
sudo apt -y install nvtop | |
# Get elpis | |
cd ~ | |
git clone https://github.com/CoEDL/elpis.git | |
# Will make it easier to copy model files etc out of the container | |
mkdir state | |
# Make a file which can be detected on next startup and thus skip doing this every time | |
touch /etc/startup_installed | |
echo "done" | |
# Download and run Elpis (non-interactive so that Elpis starts automatically) | |
docker run -d --rm --name elpis --gpus all -p 80:5001/tcp -p 6006:6006/tcp coedl/elpis:latest |
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