wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1404/x86_64/cuda-repo-ubuntu1404_8.0.44-1_amd64.deb
sudo dpkg -i cuda-repo-ubuntu1404_8.0.44-1_amd64.deb
sudo apt-get update
sudo apt-get install cuda

export CUDA_HOME=/usr/local/cuda
export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH
export LD_LIBRARY_PATH=/usr/local/lib:$LD_LIBRARY_PATH

source {path_to_your_intel_root/name_of_parallel_tool_box}/bin/psxevars.sh

docker build -t "graphnn:test" .

docker run --runtime=nvidia graphnn:test bash

cp make_common.example make_common
modify configurations in make_common file
make -j8

cd examples/mnist
make
./run.sh

cd examples/graph_classification
make
./local_run.sh
The 5 datasets under the data/ folder are commonly used in graph kernel.