# per http://docs.nvidia.com/cuda/cuda-getting-started-guide-for-linux/index.html#redhat-installation
# per http://docs.nvidia.com/cuda/cuda-getting-started-guide-for-linux/index.html#pre-installation-actions
sudo yum install pciutils
# 2.1. Verify You Have a CUDA-Capable GPU
lspci | grep -i nvidia
curl -o cuda-repo-rhel7-7-5-local-7.5-18.x86_64.rpm http://developer.download.nvidia.com/compute/cuda/7.5/Prod/local_installers/cuda-repo-rhel7-7-5-local-7.5-18.x86_64.rpm
sudo rpm -i cuda-repo-rhel7-7-5-local-7.5-18.x86_64.rpm
sudo yum clean all
# per http://www.linuxquestions.org/questions/linux-software-2/installing-dkms-on-rhel-7-0-a-4175510666/: 
sudo yum update
sudo yum install gcc
sudo rpm -Uvh http://dl.fedoraproject.org/pub/epel/7/x86_64/e/epel-release-7-5.noarch.rpm;
sudo yum install dkms kernel-devel-$(uname -r) kernel-headers-$(uname -r);
sudo yum install cuda
sudo yum install nano
# Sect. 3.2.3 says to update xorg.conf. I appended the lines from /etc/X11/xorg.conf.d/99-nvidia.conf to /etc/X11/xorg.conf
# need to reboot to disable the other Noveau driver prior to installing the NVIDIA driver
sudo reboot
curl -o NVIDIA-Linux-x86_64-352.63.run http://us.download.nvidia.com/XFree86/Linux-x86_64/352.63/NVIDIA-Linux-x86_64-352.63.run
chmod 774 NVIDIA-Linux-x86_64-352.63.run
sudo ./NVIDIA-Linux-x86_64-352.63.run --kernel-source-path /lib/modules/3.10.0-327.el7.x86_64/source
# When asked "Would you like to register the kernel module sources with DKMS?" I answered, NO.

# Now check the installation
# Per http://docs.nvidia.com/cuda/cuda-getting-started-guide-for-linux/index.html#post-installation-actions
cat /proc/driver/nvidia/version
# Looks good!
#Step 6.2.1:
mkdir cuda-samples
/usr/local/cuda-7.5/bin/cuda-install-samples-7.5.sh cuda-samples
cd cuda-samples/NVIDIA_CUDA-7.5_Samples/
make
# this is the single slowest step
./bin/x86_64/linux/release/deviceQuery
# Looks good!
./bin/x86_64/linux/release/bandwidthTest
# It passed!
ls /dev/nvidia*
# should see:
#/dev/nvidia0 /dev/nvidiactl /dev/nvidia-uvm

sudo yum update -y
# Per https://docs.docker.com/engine/installation/rhel/
sudo tee /etc/yum.repos.d/docker.repo <<-EOF
[dockerrepo]
name=Docker Repository
baseurl=https://yum.dockerproject.org/repo/main/centos/7
enabled=1
gpgcheck=1
gpgkey=https://yum.dockerproject.org/gpg
EOF
sudo yum install docker-engine
sudo service docker start
sudo usermod -a -G docker ec2-user
# log out then log in
docker info

# creating this link helps the Google TensorFlow demo find the libraries:
sudo ln -s /usr/lib64 /usr/lib/x86_64-linux-gnu
docker pull b.gcr.io/tensorflow/tensorflow:latest-devel-gpu

# need a script found in github, so install github and clone the required repository
sudo yum install git
git clone https://github.com/tensorflow/tensorflow.git

tensorflow/tensorflow/tools/docker/docker_run_gpu.sh b.gcr.io/tensorflow/tensorflow:latest-gpu

python -m tensorflow.models.image.mnist.convolutional