CentOS dev env

bootstrap.sh

sudo yum -y install yum-utils
sudo yum -y groupinstall development
sudo yum install -y zlib-devel bzip2-devel openssl-devel ncurses-devel sqlite-devel readline-devel tk-devel gdbm-devel db4-devel libpcap-devel xz-devel expat-devel
sudo yum install -y wget

# Python 3 IUS
sudo yum -y install https://centos7.iuscommunity.org/ius-release.rpm
sudo yum -y install python36u
sudo yum -y install python36u-pip
sudo yum -y install python36u-devel

# Python virtual enving
mkdir ~/environments && cd $_
python3.6 -m venv research
source ~/environments/research/bin/activate

# CUDA and CuDNN
lspci -nnk | grep -i nvidia    # Confirm we've got the iron ;)
export CUDA_HOME=/usr/local/cuda
export NVIDIA_HOME=/usr/local/nvidia
export PATH=${CUDA_HOME}/bin:${PATH}
export LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${LD_LIBRARY_PATH}

NVIDIA_GPGKEY_SUM=bd841d59a27a406e513db7d405550894188a4c1cd96bf8aa4f82f1b39e0b5c1c

curl -fsSL http://developer.download.nvidia.com/compute/cuda/repos/GPGKEY \
 | sed '/^Version/d' > /etc/pki/rpm-gpg/RPM-GPG-KEY-NVIDIA
echo "$NVIDIA_GPGKEY_SUM /etc/pki/rpm-gpg/RPM-GPG-KEY-NVIDIA" | sha256sum -c --strict -

cp cuda.repo /etc/yum.repos.d/cuda.repo
CUDA_VERSION=7.0
CUDA_PKG_VERSION=7-0-7.0-28

sudo yum install -y \
    cuda-nvrtc-$CUDA_PKG_VERSION \
    cuda-cusolver-$CUDA_PKG_VERSION \
    cuda-cublas-$CUDA_PKG_VERSION \
    cuda-cufft-$CUDA_PKG_VERSION \
    cuda-curand-$CUDA_PKG_VERSION \
    cuda-cusparse-$CUDA_PKG_VERSION \
    cuda-npp-$CUDA_PKG_VERSION \
    cuda-cudart-$CUDA_PKG_VERSION
ln -s cuda-$CUDA_VERSION /usr/local/cuda

echo "/usr/local/cuda/lib" >> /etc/ld.so.conf.d/cuda.conf
echo "/usr/local/cuda/lib64" >> /etc/ld.so.conf.d/cuda.conf
ldconfig

### devel

sudo yum install -y \
    cuda-core-$CUDA_PKG_VERSION \
    cuda-misc-headers-$CUDA_PKG_VERSION \
    cuda-command-line-tools-$CUDA_PKG_VERSION \
    cuda-license-$CUDA_PKG_VERSION \
    cuda-cublas-dev-$CUDA_PKG_VERSION \
    cuda-cufft-dev-$CUDA_PKG_VERSION \
    cuda-curand-dev-$CUDA_PKG_VERSION \
    cuda-cusparse-dev-$CUDA_PKG_VERSION \
    cuda-npp-dev-$CUDA_PKG_VERSION \
    cuda-cudart-dev-$CUDA_PKG_VERSION \
    cuda-driver-dev-$CUDA_PKG_VERSION

### cuDNN

CUDNN_VERSION=2
CUDNN_DOWNLOAD_SUM=4b02cb6bf9dfa57f63bfff33e532f53e2c5a12f9f1a1b46e980e626a55f380aa

curl -fsSL http://developer.download.nvidia.com/compute/redist/cudnn/v2/cudnn-6.5-linux-x64-v2.tgz -O
echo "$CUDNN_DOWNLOAD_SUM cudnn-6.5-linux-x64-v2.tgz" | sha256sum -c --strict -
tar -xzf cudnn-6.5-linux-x64-v2.tgz
cp -a cudnn-6.5-linux-x64-v2/cudnn.h /usr/local/cuda/include/
cp -a cudnn-6.5-linux-x64-v2/libcudnn* /usr/local/cuda/lib64/
rm -rf cudnn-6.5-linux-x64-v2*
ldconfig


# Install Tensorflow and other stuff
sudo yum -y install epel-release
sudo yum -y install gcc gcc-c++ python-pip python-devel atlas atlas-devel gcc-gfortran openssl-devel libffi-devel
pip3.6 install --upgrade virtualenv
pip3.6 install --upgrade numpy scipy wheel sklearn pandas tensorflow matplotlib keras hyperas 
pip3.6 install --upgrade jupyter 

cuda.env

export CUDA_HOME=/usr/local/cuda
export NVIDIA_HOME=/usr/local/nvidia
 
export PATH=${CUDA_HOME}/bin:${PATH}
export LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${LD_LIBRARY_PATH}

cuda.repo

[cuda]
name=cuda
baseurl=http://developer.download.nvidia.com/compute/cuda/repos/rhel7/x86_64
enabled=1
gpgcheck=1
gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-NVIDIA