.travis.yml

language: python
dist: trusty
python: "2.7"
sudo: true

# env: CUDA=7.5-18 THEANO_FLAGS=device=gpu,floatX=float32

# before_install:
    # Install CUDA toolkit
    # - echo "Installing CUDA library"
    # - travis_retry wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1404/x86_64/cuda-repo-ubuntu1404_${CUDA}_amd64.deb
    # - travis_retry sudo dpkg -i cuda-repo-ubuntu1404_${CUDA}_amd64.deb
    # - travis_retry sudo apt-get update -qq
    # - export CUDA_APT=${CUDA%-*}
    # - export CUDA_APT=${CUDA_APT/./-}
#  - travis_retry sudo apt-get install -y cuda-${CUDA_APT}
    # - travis_retry sudo apt-get install -y nvidia-settings cuda-drivers cuda-core-${CUDA_APT} cuda-cudart-dev-${CUDA_APT}
    # - travis_retry sudo apt-get clean
    # - export CUDA_HOME=/usr/local/cuda-${CUDA%%-*}
    # - export LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${LD_LIBRARY_PATH}
    # - export PATH=${CUDA_HOME}/bin:${PATH}

install:
    - sudo apt-get update
    - wget https://repo.continuum.io/miniconda/Miniconda2-latest-Linux-x86_64.sh -O miniconda.sh
    - bash miniconda.sh -b -p $HOME/miniconda
    - export PATH="$HOME/miniconda/bin:$PATH"
    - hash -r
    - conda config --set always_yes yes --set changeps1 no
    - conda update -q conda

    # Useful for debugging any issues with conda
    - conda info -a

    - conda create -q -n test-environment python=$TRAVIS_PYTHON_VERSION
    - source activate test-environment
    - conda install pytorch torchvision -c soumith -y
    - pip install -r python/requirements.txt
# - nvcc --version

script: "nosetests -a \\!slow python/spinn/tests"