how to install libgpuarray and make theano to perform 64bit, double precision, float64 calculations on (cuda capable) GPU

theano_install.sh

# the followings are expected to be installed
# 
# virtualenv, git
# OpenBlas: https://github.com/xianyi/OpenBLAS
# cuda: https://developer.nvidia.com/cuda-downloads

ARGV=("$@")

function check_command
{
    $@
    if [[ $? -ne 0 ]]
    then
        exit 1
    fi
}

MY_PREFIX="$HOME/.local"
if [ ! -e $MY_PREFIX ]
then 
    mkdir $MY_PREFIX
fi
if [ ! -e $MY_PREFIX/lib ]
then 
    mkdir $MY_PREFIX/lib
fi
if [ ! -e $MY_PREFIX/include ]
then 
    mkdir $MY_PREFIX/include
fi

# also put these into ~/.bashrc
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$MY_PREFIX/lib
export CPATH=$CPATH:$MY_PREFIX/include
export LIBRARY_PATH=$LIBRARY_PATH:$MY_PREFIX/lib

envname=theano
if [ $1 ]
then
  envname=$1
fi

### virtualenv ###
if [ ! -e $envname/bin/activate ]
then 
    check_command virtualenv ${ARGV[@]:1} $envname
fi
check_command source $envname/bin/activate

check_command pip install -U pip
check_command pip install -U mako
check_command pip install -U nvidia-ml-py cython six nose nose_parameterized numpy scipy psutil jupyter notebook ipython

### gpuarray ###
if [ ! -e libgpuarray ]
then
    check_command git clone https://github.com/Theano/libgpuarray
fi
cd libgpuarray
    check_command git pull origin master

    if [ ! -e Build ]
    then
        mkdir Build
    fi
    cd Build
        check_command cmake .. -DCMAKE_INSTALL_PREFIX=$MY_PREFIX -DCMAKE_BUILD_TYPE=Release
        check_command make
        check_command make install
        cd ..

    check_command python setup.py build_ext -L $MY_PREFIX/lib -I $MY_PREFIX/include
    check_command python setup.py install
    cd ..

### cnmem ###
# cnmem is included since Theano version 0.8
# for the default backend: lib.cnmem=0.5
# for the new backend use it with: gpuarray.preallocate=XY

### Theano ###
pip install -U theano