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@huwan
Created September 14, 2019 02:25
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Install NVIDIA driver and CUDA toolkit (Ubuntu 18.04 + CUDA 10.0)
#! /bin/bash
# from https://www.tensorflow.org/install/gpu
# Add NVIDIA package repositories
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-repo-ubuntu1804_10.0.130-1_amd64.deb
sudo dpkg -i cuda-repo-ubuntu1804_10.0.130-1_amd64.deb
sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub
sudo apt-get update
wget http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_amd64.deb
sudo apt install ./nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_amd64.deb
sudo apt-get update
# Install NVIDIA driver
sudo apt-get install -y --no-install-recommends nvidia-driver-430
# Reboot. Check that GPUs are visible using the command: nvidia-smi
echo "Do you wish to install the CUDA 10.0 toolkit?"
select yn in "Yes" "No"; do
case $yn in
Yes )
echo instlal cuda
# Install development and runtime libraries (~4GB)
sudo apt-get install -y --no-install-recommends \
cuda-10-0 \
libcudnn7=7.6.2.24-1+cuda10.0 \
libcudnn7-dev=7.6.2.24-1+cuda10.0;
break;;
No ) exit;;
esac
done
@zymouse
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zymouse commented Feb 9, 2023

Recommend [ansible playbook] one-click deployment
example:https://github.com/tier4/AutowareArchitectureProposal.proj/tree/v0.9.1/ansible

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