some changes..
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973bb7937d
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42
setup01.sh
42
setup01.sh
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#!/bin/bash
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if [ "$EUID" -ne 0 ]
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then echo "Please run as root"
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exit
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fi
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#----------- Notes ------------------
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#check for NVIDIA device:
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#apt-get -y install pciutils
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#lspci | grep VGA
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#check if driver works with device:
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#nvidia-smi
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#------------------------------------
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#Install drivers
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#based on https://docs.nvidia.com/cuda/cuda-installation-guide-linux/
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#and https://www.tensorflow.org/install/gpu
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#Versions required: https://www.tensorflow.org/install/source#gpu
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#------------------------------------
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apt-get update
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apt-get install linux-headers-$(uname -r)
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if [ "$EUID" -ne 0 ]
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then echo "Please run as root"
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exit
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fi
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#Set CUDA network repository to have priority
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#wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-ubuntu1804.pin
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#mv cuda-ubuntu1804.pin /etc/apt/preferences.d/cuda-repository-pin-600
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#Install the CUDA repository public GPG key
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distribution=$(. /etc/os-release;echo $ID$VERSION_ID | sed -e 's/\.//g')
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apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/$distribution/x86_64/7fa2af80.pub
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add-apt-repository contrib
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architecture="x86_64"
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#Install drivers
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apt-get update
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apt-get install -y linux-headers-$(uname -r) software-properties-common
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#Setup the CUDA network repository
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add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/$distribution/x86_64/ /"
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add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/$distribution/$architecture/ /"
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#Install the CUDA repository public GPG key
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apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/$distribution/$architecture/7fa2af80.pub
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add-apt-repository contrib
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#Installs all CUDA Toolkit and Driver packages. Handles upgrading to the next version of the cuda package when it's released.
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#Use the --no-install-recommends option for a lean driver install without any dependencies on X packages
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apt-get update
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apt-get install --no-install-recommends cuda-11-2
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apt-get install -y --no-install-recommends cuda-11-2
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#apt-get install --no-install-recommends libcudnn8=8.1.0.44-1+cuda11.2 libcudnn8-dev=8.1.0.44-1+cuda11.2
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wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/libcudnn8_8.1.1.33-1+cuda11.2_amd64.deb
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wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/libcudnn8-dev_8.1.1.33-1+cuda11.2_amd64.deb
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#Latest available version from ubuntu1804 repo:
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wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/libcudnn8_8.1.1.33-1+cuda11.2_amd64.deb
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wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/libcudnn8-dev_8.1.1.33-1+cuda11.2_amd64.deb
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apt install ./libcudnn8_8.1.1.33-1+cuda11.2_amd64.deb
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apt install ./libcudnn8-dev_8.1.1.33-1+cuda11.2_amd64.deb
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#reboot system
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#systemctl reboot
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echo "Please reboot system"
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41
setup02.sh
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setup02.sh
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exit
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fi
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apt-get update
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#apt-get install -y --no-install-recommends libnvinfer7=7.1.3-1+cuda11.0 \
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# libnvinfer-dev=7.1.3-1+cuda11.0 \
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# libnvinfer-plugin7=7.1.3-1+cuda11.0
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apt-get install -y --no-install-recommends libnvinfer7=7.1.3-1+cuda11.0 \
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libnvinfer-dev=7.1.3-1+cuda11.0 \
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libnvinfer-plugin7=7.1.3-1+cuda11.0
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apt-get install sudo
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apt-get install ipmitool && modprobe ipmi_devintf
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apt-get install python3-pip nodejs npm git
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python3 -m pip install jupyterhub
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npm install -g configurable-http-proxy
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python3 -m pip install jupyterlab notebook tensorflow jupyterlab-git
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python3 -m pip install tqdm pickle pandas ipywidgets pillow matplotlib
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python3 -m pip install scipy scikit-learn
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mkdir /etc/jupyterhub/
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cp jupyterhub_config.py /etc/jupyterhub/jupyterhub_config.py
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cp jupyterhub.service /etc/systemd/system/jupyterhub.service
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systemctl enable jupyterhub
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apt-get update && \
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apt-get install -y ipmitool && modprobe ipmi_devintf && \
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apt-get install -y python3-pip nodejs npm git && \
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python3 -m pip install jupyterhub && \
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npm install -g configurable-http-proxy && \
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python3 -m pip install jupyterlab notebook tensorflow jupyterlab-git && \
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python3 -m pip install tqdm pickle pandas ipywidgets pillow matplotlib && \
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python3 -m pip install scipy scikit-learn && \
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mkdir /etc/jupyterhub/ && \
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cp jupyterhub_config.py /etc/jupyterhub/jupyterhub_config.py && \
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cp jupyterhub.service /etc/systemd/system/jupyterhub.service && \
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systemctl enable jupyterhub && \
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systemctl start jupyterhub
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#Add sudo users with: usermod -aG sudo USER
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#check nvidia drivers
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nvidia-smi
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echo "Add sudo users with: usermod -aG sudo USER"
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