.travis.yml

language: scala

cache:
  directories:
    - $HOME/.ivy2/cache
    - $HOME/.sbt

jobs:
  include:
    - os: osx
      osx_image: xcode9.4
      env: INSTALLER=pip
      before_install: source ci/travis-before-install-osx.sh
      install:
        - PYTHON_CONFIGURE_OPTS="--enable-shared" pyenv install 3.7.1
        - pyenv global 3.7.1

        # For some unclear reason, `pyenv global` isn't enough on Travis OS X VM to make certain pyenv's Python commands visible in the PATH.
        - PATH="$(pyenv root)/shims:$PATH"
        - export PATH

        - source ci/travis-install-pip.sh

    - os: osx
      osx_image: xcode9.4
      env: INSTALLER=conda
      before_install: source ci/travis-before-install-osx.sh
      install:
        - conda_os=MacOSX
        # TF 2.2.0 is not available on conda for OS X yet
        - conda_tf_version=2.0.0
        - source ci/travis-install-conda.sh

    - os: linux
      dist: xenial
      env: INSTALLER=pip
      before_install: source ci/travis-before-install-xenial.sh
      install:
        # Update the list of available Pythons.
        # On Travis Xenial VM, the pre-bundled repo just happens to end right before 3.7.0 (3.7.0a1 is the latest available version).
        - cd /opt/pyenv/
        - git pull origin master
        - cd -

        # Python 3.7.1 is already installed on Travis Xenial VM, but isn't compiled with --enable-shared.
        - pyenv uninstall --force 3.7.1
        - CONFIGURE_OPTS="--enable-shared" pyenv install 3.7.1
        - pyenv global 3.7.1

        - source ci/travis-install-pip.sh

    - os: linux
      dist: xenial
      env: INSTALLER=conda
      before_install: source ci/travis-before-install-xenial.sh
      install:
        - conda_os=Linux
        - conda_tf_version=2.2.0
        - source ci/travis-install-conda.sh

script:
  # -batch is necessary to make sure sbt doesn't stall waiting for user input in case of certain failures
  - echo '-batch' >> .sbtopts
  - sbt scalafmtCheck
  - sbt compile

  # Prevent TensorFlow from an attempt to access GPU
  - export CUDA_VISIBLE_DEVICES=-1

  # We're keeping the number of epochs and training data size deliberately low -
  # the CI runs of the examples serve rather as smoke tests to spot linking/Python invocation errors.
  - export EPOCH_COUNT=40
  - sbt 'project scalaPyTensorFlowExamplesCrossJVM'    'run GradientDescentOptimizerExample'
  - sbt 'project dottyTensorFlowExamples'              'run GradientDescentOptimizerExample'
  - export EPOCH_COUNT=1 TRAINING_SET_SIZE=1000
  - sbt 'project scalaPyTensorFlowExamplesCrossNative' 'run MnistExample'
  - sbt 'project scalaPyTensorFlowExamplesCrossJVM'    'run MnistExample'

after_success:
  - 'if [ "$TRAVIS_PULL_REQUEST" = "false" ] && [ "$TRAVIS_BRANCH" = "master" ]; then bash ./publish.sh; fi'
  - 'if [ "$TRAVIS_PULL_REQUEST" = "false" ] && [ -n "$TRAVIS_TAG" ];            then bash ./publish.sh; fi'