Step by step instructions for installing CUDA Toolkit 10.0 CentOS 7 Server machine for running Deep Learning projects

CUDA_Toolkit_10.0_installation_on_CentOS_7.sh

#!/bin/bash
## This gist contains step by step instructions to install cuda v10.1 and cudnn 7.6 in CentOS 7
### steps ####
# verify the system has a cuda-capable gpu
# download and install the nvidia cuda toolkit and cudnn
# setup environmental variables
# verify the installation
###

### to verify your gpu is cuda enable check
lspci | grep -i nvidia

### gcc compiler is required for development using the cuda toolkit. to verify the version of gcc install enter
gcc --version

# First download the latest Nvidia CUDA from official repository
wget https://developer.download.nvidia.com/compute/cuda/repos/rhel7/x86_64/cuda-repo-rhel7-10.0.130-1.x86_64.rpm

# install the packages
sudo rpm -i cuda-repo-rhel7-10.0.130-1.x86_64.rpm

# install cuda
sudo yum install cuda

# setup your paths
echo 'export PATH=/usr/local/cuda-10.0/bin:$PATH' >> ~/.bashrc
echo 'export LD_LIBRARY_PATH=/usr/local/cuda-10.0/lib64:$LD_LIBRARY_PATH' >> ~/.bashrc
source ~/.bashrc
sudo ldconfig

# install cuDNN v7.5
# in order to download cuDNN you have to be regeistered here https://developer.nvidia.com/developer-program/signup
# then download cuDNN v7.5 form https://developer.nvidia.com/cudnn

CUDNN_TAR_FILE="cudnn-10.0-linux-x64-v7.5.0.56"
wget https://developer.nvidia.com/compute/machine-learning/cudnn/secure/v7.5.0.56/prod/10.0_20190219/cudnn-10.0-linux-x64-v7.5.0.56.tgz
tar -xzvf ${CUDNN_TAR_FILE}


# copy the following files into the cuda toolkit directory.
sudo cp -P cuda/include/cudnn.h /usr/local/cuda-10.0/include
sudo cp -P cuda/lib64/libcudnn* /usr/local/cuda-10.0/lib64/
sudo chmod a+r /usr/local/cuda-10.0/lib64/libcudnn*

# Finally, to verify the installation, check
nvidia-smi
nvcc -V

# install Tensorflow (an open source machine learning framework)
# I choose version 1.13.1 because it is stable and compatible with CUDA 10.0 Toolkit and cuDNN 7.5

sudo pip3 install --user tensorflow-gpu==1.13.1