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setup.sh
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#! /bin/bash
# set the DEBIAN_FRONTEND variable to 'noninteractive'
# refer this link for more information
# https://askubuntu.com/questions/972516/debian-frontend-environment-variable
DEBIAN_FRONTEND=noninteractive
cd
sudo rm /etc/apt/apt.conf.d/*.*
sudo apt update
# create a folder to store files
mkdir setup
cd setup
# Download anaconda shell file
wget https://repo.continuum.io/archive/Anaconda3-5.0.1-Linux-x86_64.sh
# Run the downloaded file
bash Anaconda3-5.0.1-Linux-x86_64.sh -b
cd
# Add the anaconda path to bashrc file
echo 'export PATH=~/anaconda3/bin:$PATH' >> ~/.bashrc
export PATH=~/anaconda3/bin:$PATH
# Restart terminal
source ~/.bashrc
sudo apt install unzip -y
# # Install jupyter notebook
# sudo apt -y upgrade --force-yes
sudo apt -y autoremove
jupyter notebook --generate-config
echo "c.NotebookApp.ip = '0.0.0.0'" >> ~/.jupyter/jupyter_notebook_config.py
echo "c.NotebookApp.open_browser = False" >> ~/.jupyter/jupyter_notebook_config.py
sudo ufw allow 8888/tcp
sudo apt -y install qtdeclarative5-dev qml-module-qtquick-controls
sudo add-apt-repository ppa:graphics-drivers/ppa -y
sudo apt update
pip install ipywidgets
jupyter nbextension enable --py widgetsnbextension --sys-prefix
# Install Nvidia graphic driver compatatible with tensorflow-gpu library
# Refer to the below link for more information
# https://www.tensorflow.org/install/gpu
sudo add-apt-repository ppa:graphics-drivers/ppa
sudo apt update
sudo apt install nvidia-390
sudo nvidia-smi
cd
cd setup
wget https://developer.nvidia.com/compute/cuda/9.0/Prod/local_installers/cuda-repo-ubuntu1604-9-0-local_9.0.176-1_amd64-deb
sudo dpkg -i cuda-repo-ubuntu1604-9-0-local_9.0.176-1_amd64-deb
sudo apt-key add /var/cuda-repo-9-0-local/7fa2af80.pub
sudo apt-get update
sudo apt-get install cuda
# Add PATH variable and LD_LIBRARY_PATH variable in .bashrc file
echo 'export PATH=/usr/local/cuda-9.0/bin${PATH:+:$PATH}}' >> ~/.bashrc
echo 'export LD_LIBRARY_PATH=/usr/local/cuda-9.0/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}' >> ~/.bashrc
wget https://developer.nvidia.com/compute/cuda/9.0/Prod/patches/1/cuda-repo-ubuntu1604-9-0-local-cublas-performance-update_1.0-1_amd64-deb
sudo dpkg -i cuda-repo-ubuntu1604-9-0-local-cublas-performance-update_1.0-1_amd64-deb
wget https://developer.nvidia.com/compute/cuda/9.0/Prod/patches/2/cuda-repo-ubuntu1604-9-0-local-cublas-performance-update-2_1.0-1_amd64-deb
sudo dpkg -i cuda-repo-ubuntu1604-9-0-local-cublas-performance-update-2_1.0-1_amd64-deb
# ============================================ we have to install CudNN package here =====================================
clear
echo "Go to this link := https://developer.nvidia.com/rdp/cudnn-archive"
echo "Click on Download cuDNN v7.1.4 (May 16, 2018), for CUDA 9.0"
echo "Than Copy Download link of cuDNN v7.1.4 Library for Linux"
# ========================================================================================================================
read -p "Enter the download link for CudNN 7.1.4 here: " path
# Go back to home directory
DEBIAN_FRONTEND=readline
cd
sudo rm /etc/apt/apt.conf.d/*.*
cd setup
wget $path
# rename the downloaded file
mv cudnn* cudnn.tgz
tar -xzvf ~/setup/cudnn.tgz
sudo cp cuda/include/cudnn.h /usr/local/cuda/include
sudo cp cuda/lib64/libcudnn* /usr/local/cuda/lib64
sudo chmod a+r /usr/local/cuda/include/cudnn.h /usr/local/cuda/lib64/libcudnn*
conda create -n env python=3.6 pip
source activate env
pip install --upgrade tensorflow-gpu==1.12.0
sudo reboot