Setup tensorflow on ubuntu with GPU support

tensorflow_gpu.sh

# Install build tools
sudo apt-get update
sudo apt-get install -y build-essential git python-pip curl software-properties-common libfreetype6-dev libxft-dev libncurses-dev libopenblas-dev  gfortran python3-matplotlib libblas-dev liblapack-dev libatlas-base-dev python3-dev linux-headers-generic linux-image-extra-virtual unzip python3-numpy swig python3-pandas python-sklearn unzip python3-pip

# Install CUDA 7
wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1410/x86_64/cuda-repo-ubuntu1410_7.0-28_amd64.deb
# wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1504/x86_64/cuda-repo-ubuntu1504_7.5-18_amd64.deb
sudo dpkg -i cuda-repo-ubuntu1504_7.0-28_amd64.deb 
sudo apt-get update
sudo apt-get install -y cuda

# Install cuDNN
# You get the CUDNN_URL by logging into your nivida account and downloading cuDNN
# https://developer.nvidia.com/rdp/cudnn-archive (cudnn 7.0)
export CUDNN_URL="https://www.dropbox.com/s/fmf67v0167sh0m4/cudnn-7.0-linux-x64-v4.0-prod.tar?dl=0"
wget $CUDNN_URL -O cudnn-7.0-linux-x64-v3.0-prod.tgz
tar -zxf cudnn-7.0-linux-x64-v3.0-prod.tgz && rm cudnn-7.0-linux-x64-v3.0-prod.tgz
sudo cp ./cuda/lib64/* /usr/local/cuda/lib64/
sudo cp ./cuda/include/* /usr/local/cuda/include/

# Reboot for CUDA
sudo reboot

sudo add-apt-repository ppa:webupd8team/java -y
sudo apt-get update
sudo apt-get install oracle-java8-installer

mkdir github
pushd github
git clone https://github.com/bazelbuild/bazel.git
pushd bazel
./compile.sh
popd
git clone https://github.com/tensorflow/tensorflow