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gpu_server_setup
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some changes..

This commit is contained in:
Nicolas 2022-03-13 22:23:12 +01:00
parent 973bb7937d
commit 27683ede62
2 changed files with 39 additions and 46 deletions
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44
setup01.sh
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@ -1,52 +1,48 @@
#!/bin/bash
if [ "$EUID" -ne 0 ]
then echo "Please run as root"
exit
fi
#----------- Notes ------------------
#check for NVIDIA device:
#apt-get -y install pciutils
#lspci | grep VGA
#check if driver works with device:
#nvidia-smi
#------------------------------------
#Install drivers
#based on https://docs.nvidia.com/cuda/cuda-installation-guide-linux/
#and https://www.tensorflow.org/install/gpu
#Versions required: https://www.tensorflow.org/install/source#gpu
#------------------------------------
apt-get update
apt-get install linux-headers-$(uname -r)
if [ "$EUID" -ne 0 ]
then echo "Please run as root"
exit
fi
#Set CUDA network repository to have priority
#wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-ubuntu1804.pin
#mv cuda-ubuntu1804.pin /etc/apt/preferences.d/cuda-repository-pin-600
#Install the CUDA repository public GPG key
distribution=$(. /etc/os-release;echo $ID$VERSION_ID | sed -e 's/\.//g')
apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/$distribution/x86_64/7fa2af80.pub
add-apt-repository contrib
architecture="x86_64"
#Install drivers
apt-get update
apt-get install -y linux-headers-$(uname -r) software-properties-common
#Setup the CUDA network repository
add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/$distribution/x86_64/ /"
add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/$distribution/$architecture/ /"
#Install the CUDA repository public GPG key
apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/$distribution/$architecture/7fa2af80.pub
add-apt-repository contrib
#Installs all CUDA Toolkit and Driver packages. Handles upgrading to the next version of the cuda package when it's released.
#Use the --no-install-recommends option for a lean driver install without any dependencies on X packages
apt-get update
apt-get install --no-install-recommends cuda-11-2
#apt-get install --no-install-recommendslibcudnn8=8.1.0.44-1+cuda11.2 libcudnn8-dev=8.1.0.44-1+cuda11.2
apt-get install -y --no-install-recommends cuda-11-2
#apt-get install --no-install-recommends libcudnn8=8.1.0.44-1+cuda11.2 libcudnn8-dev=8.1.0.44-1+cuda11.2
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/libcudnn8_8.1.1.33-1+cuda11.2_amd64.deb
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/libcudnn8-dev_8.1.1.33-1+cuda11.2_amd64.deb
#Latest available version from ubuntu1804 repo:
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/libcudnn8_8.1.1.33-1+cuda11.2_amd64.deb
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/libcudnn8-dev_8.1.1.33-1+cuda11.2_amd64.deb
apt install ./libcudnn8_8.1.1.33-1+cuda11.2_amd64.deb
apt install ./libcudnn8-dev_8.1.1.33-1+cuda11.2_amd64.deb
#reboot system
#systemctl reboot
echo "Please reboot system"

41
setup02.sh
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@ -5,28 +5,25 @@ if [ "$EUID" -ne 0 ]
exit
fi
apt-get update
#apt-get install -y --no-install-recommends libnvinfer7=7.1.3-1+cuda11.0 \
# libnvinfer-dev=7.1.3-1+cuda11.0 \
# libnvinfer-plugin7=7.1.3-1+cuda11.0
apt-get install -y --no-install-recommends libnvinfer7=7.1.3-1+cuda11.0 \
libnvinfer-dev=7.1.3-1+cuda11.0 \
libnvinfer-plugin7=7.1.3-1+cuda11.0
apt-get update && \
apt-get install -y ipmitool && modprobe ipmi_devintf && \
apt-get install -y python3-pip nodejs npm git && \
python3 -m pip install jupyterhub && \
npm install -g configurable-http-proxy && \
python3 -m pip install jupyterlab notebook tensorflow jupyterlab-git && \
python3 -m pip install tqdm pickle pandas ipywidgets pillow matplotlib && \
python3 -m pip install scipy scikit-learn && \
mkdir /etc/jupyterhub/ && \
cp jupyterhub_config.py /etc/jupyterhub/jupyterhub_config.py && \
cp jupyterhub.service /etc/systemd/system/jupyterhub.service && \
systemctl enable jupyterhub && \
systemctl start jupyterhub
#check nvidia drivers
nvidia-smi
apt-get install sudo
apt-get install ipmitool && modprobe ipmi_devintf
apt-get install python3-pip nodejs npm git
python3 -m pip install jupyterhub
npm install -g configurable-http-proxy
python3 -m pip install jupyterlab notebook tensorflow jupyterlab-git
python3 -m pip install tqdm pickle pandas ipywidgets pillow matplotlib
python3 -m pip install scipy scikit-learn
mkdir /etc/jupyterhub/
cp jupyterhub_config.py /etc/jupyterhub/jupyterhub_config.py
cp jupyterhub.service /etc/systemd/system/jupyterhub.service
systemctl enable jupyterhub
systemctl start jupyterhub
#Add sudo users with: usermod -aG sudo USER
echo "Add sudo users with: usermod -aG sudo USER"