.travis.yml

language: python
matrix:
  include:
  - env:
    - PYTHON=2.7
    - PYTORCH=0.3.0
  - env:
    - PYTHON=2.7
    - PYTORCH=0.3.1
  - env:
    - PYTHON=2.7
    - PYTORCH=0.4.0
  - env:
    - PYTHON=2.7
    - PYTORCH=0.4.1
  - env:
    - PYTHON=2.7
    - PYTORCH=1.0.0
  - env:
    - PYTHON=3.5
    - PYTORCH=0.3.0
  - env:
    - PYTHON=3.5
    - PYTORCH=0.3.1
  - env:
    - PYTHON=3.5
    - PYTORCH=0.4.0
  - env:
    - PYTHON=3.5
    - PYTORCH=0.4.1
  - env:
    - PYTHON=3.5
    - PYTORCH=1.0.0
  - env:
    - PYTHON=3.6
    - PYTORCH=0.3.0
  - env:
    - PYTHON=3.6
    - PYTORCH=0.3.1
  - env:
    - PYTHON=3.6
    - PYTORCH=0.4.0
  - env:
    - PYTHON=3.6
    - PYTORCH=0.4.1
  - env:
    - PYTHON=3.6
    - PYTORCH=1.0.0
  - env:
    - PYTHON=3.7
    - PYTORCH=0.3.0
  - env:
    - PYTHON=3.7
    - PYTORCH=0.3.1
  - env:
    - PYTHON=3.7
    - PYTORCH=0.4.0
  - env:
    - PYTHON=3.7
    - PYTORCH=0.4.1
  - env:
    - PYTHON=3.7
    - PYTORCH=1.0.0
install:
  - wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh
  - bash miniconda.sh -b -p $HOME/miniconda
  - export PATH=$HOME/miniconda/bin:$PATH

  - conda create -y -q -n pytorch python=$PYTHON
  - source activate pytorch
  - if [[ "$PYTORCH" == "0.3.0" || "$PYTORCH" == "0.3.1" ]]; then
      conda install -y pytorch=$PYTORCH torchvision cuda90 -c pytorch;
    else
      conda install -y pytorch-cpu=$PYTORCH torchvision-cpu -c pytorch;
    fi
  - conda install -y numpy matplotlib tqdm pillow scikit-learn cython pytest
  - pip install torchvision codecov
script:
  - coverage run test/test_network.py
after_success:
  - codecov