.travis.yml

# Adapted from https://github.com/kangwonlee/travis-yml-conda-posix-nt/blob/master/.travis.yml

language: shell

env:
  global:
    - CONDA_PYTHON=3.8
    - CONDA_BLD_PATH=${HOME}/conda-bld

os:
  - linux
  # - windows
  # - osx


cache:
  # More time is needed for caching due to the sheer size of the conda env.
  timeout: 1000
  directories:
    - ${HOME}/cache

before_cache:
  # adapted from https://github.com/theochem/cgrid/blob/master/.travis.yml
  - echo "Cleaning stuff in miniconda path. (${MINICONDA_PATH})"
  - ls -la ${MINICONDA_PATH}
  - rm -rf ${MINICONDA_PATH}/conda-bld
  - rm -rf ${MINICONDA_PATH}/locks
  - rm -rf ${MINICONDA_PATH}/pkgs
  - rm -rf ${MINICONDA_PATH}/var
  - rm -rf ${MINICONDA_PATH}/envs/*/conda-bld
  - rm -rf ${MINICONDA_PATH}/envs/*/locks
  - rm -rf ${MINICONDA_PATH}/envs/*/pkgs
  - rm -rf ${MINICONDA_PATH}/envs/*/var
  - ls -la ${MINICONDA_PATH}
  - echo "Cleaning test results"
  - rm -rf ${HOME}/cache/tests/*/faces
  - rm -rf ${HOME}/cache/tests/*/conv
  - rm -rf ${HOME}/cache/tests/*/*.json
  - rm -rf ${HOME}/cache/tests/vid/faces_sorted
  - rm -rf ${HOME}/cache/tests/vid/model

before_install:
  # set conda path info
  - |
    if [[ "$TRAVIS_OS_NAME" != "windows" ]]; then
      MINICONDA_PATH=${HOME}/cache/miniconda;
      MINICONDA_SUB_PATH=$MINICONDA_PATH/bin;
    elif [[ "$TRAVIS_OS_NAME" == "windows" ]]; then
      MINICONDA_PATH=${HOME}/cache/miniconda3/;
      MINICONDA_PATH_WIN=`cygpath --windows $MINICONDA_PATH`;
      MINICONDA_SUB_PATH=$MINICONDA_PATH/Scripts;
    fi;
  # obtain miniconda installer
  - |
    if [[ "$TRAVIS_OS_NAME" == "linux" ]]; then
      wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh;
    # Not used at the moment, but in case we want to also run test on osx, we can.
    elif  [[ "$TRAVIS_OS_NAME" == "osx" ]]; then
      wget https://repo.continuum.io/miniconda/Miniconda3-latest-MacOSX-x86_64.sh -O miniconda.sh;
    fi;

install:
  # install miniconda
  # pip and conda will also need OpenSSL for Windows
  - |
    if test -e "$MINICONDA_PATH"; then
      echo "Conda already installed";
    else
      echo "Installing conda";
      if [[ "$TRAVIS_OS_NAME" != "windows" ]]; then
        bash miniconda.sh -b -p $MINICONDA_PATH;
      elif  [[ "$TRAVIS_OS_NAME" == "windows" ]]; then
        choco install openssl.light;
        choco install miniconda3 --params="'/AddToPath:1 /D:$MINICONDA_PATH_WIN'";
      fi;
    fi;
  - export PATH="$MINICONDA_PATH:$MINICONDA_SUB_PATH:$PATH";
  # for conda version 4.4 or later
  - source $MINICONDA_PATH/etc/profile.d/conda.sh;
  - 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
  - echo "Python $CONDA_PYTHON running on $TRAVIS_OS_NAME";
  # Only create the environment if we don't have it already
  - conda env list | grep faceswap || conda create -q --name faceswap python=$CONDA_PYTHON;
  - conda activate faceswap;
  - conda --version ; python --version ; pip --version;
  # We set up for plaidML as we can then use both the plaidML and Tensorflow backends for testing
  - python setup.py --installer --amd;
  - conda install pytest;
  # For debugging purposes
  - df -h

script:
  - rm -f ~/.plaidml;
  - echo "{\"PLAIDML_DEVICE_IDS\":[\"llvm_cpu.0\"],\"PLAIDML_EXPERIMENTAL\":true}" > ~/.plaidml;
  - FACESWAP_BACKEND="amd" KERAS_BACKEND="plaidml.keras.backend" PYTHONPATH=$PWD:$PYTHONPATH py.test -v tests/;
  - rm -f ~/.plaidml;
  - FACESWAP_BACKEND="cpu" KERAS_BACKEND="tensorflow" PYTHONPATH=$PWD:$PYTHONPATH py.test -v tests/;
  - FACESWAP_BACKEND="cpu" KERAS_BACKEND="tensorflow" python _travis/simple_tests.py;