.travis.yml

language: python

sudo: enabled

python:
  - 3.6
  - 3.7

os:
  - linux

env:
  - FORCE_CUDA=1 CUDA=9.2.148-1 CUDA_SHORT=9.2 UBUNTU_VERSION=ubuntu1604 CUBLAS=cuda-cublas-dev-9-2 TORCH=1.4.0+cu92
  - FORCE_CUDA=1 CUDA=10.0.130-1 CUDA_SHORT=10.0 UBUNTU_VERSION=ubuntu1804 CUBLAS=cuda-cublas-dev-10-0 TORCH=1.4.0+cu100
  - FORCE_CUDA=1 CUDA=10.1.105-1 CUDA_SHORT=10.1 UBUNTU_VERSION=ubuntu1804 CUBLAS=libcublas-dev TORCH=1.4.0

before_install:
  - INSTALLER=cuda-repo-${UBUNTU_VERSION}_${CUDA}_amd64.deb
  - wget http://developer.download.nvidia.com/compute/cuda/repos/${UBUNTU_VERSION}/x86_64/${INSTALLER}
  - sudo dpkg -i ${INSTALLER}
  - wget https://developer.download.nvidia.com/compute/cuda/repos/${UBUNTU_VERSION}/x86_64/7fa2af80.pub
  - sudo apt-key add 7fa2af80.pub
  - sudo apt update -qq
  - sudo apt install -y cuda-core-${CUDA_SHORT/./-} cuda-cudart-dev-${CUDA_SHORT/./-} ${CUBLAS} cuda-cusparse-dev-${CUDA_SHORT/./-}
  - sudo apt clean
  - CUDA_HOME=/usr/local/cuda-${CUDA_SHORT}
  - LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${LD_LIBRARY_PATH}
  - PATH=${CUDA_HOME}/bin:${PATH}

install:
  - pip install numpy
  - pip install torch==${TORCH} -f https://download.pytorch.org/whl/torch_stable.html
  - pip install flake8

script:
  - python -c "import torch; print(torch.__version__)"
  - flake8 .
  - python setup.py install
  - python setup.py test
notifications:
  email: false