language: python dist: xenial matrix: include: - python: "3.6" env: IMAGE_BACKEND=Pillow-SIMD - python: "3.6" before_install: - sudo apt-get update - 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:$PATH" - hash -r - conda config --set always_yes yes --set changeps1 no # Useful for debugging any issues with conda - conda info -a - conda create -q -n test-environment python=$TRAVIS_PYTHON_VERSION pytorch scipy -c pytorch-nightly - source activate test-environment - | if [[ "$IMAGE_BACKEND" == "Pillow-SIMD" ]]; then pip uninstall -y pillow && CC="cc -march=native" pip install --force-reinstall pillow-simd fi - pip install future - pip install pytest pytest-cov codecov - pip install typing - | if [[ $TRAVIS_PYTHON_VERSION == 3.6 ]]; then pip install -q --user -i https://test.pypi.org/simple/ ort-nightly==1.0.0.dev1123 fi - conda install av -c conda-forge install: # Using pip instead of setup.py ensures we install a non-compressed version of the package # (as opposed to an egg), which is necessary to collect coverage. # We still get the benefit of testing an installed version over the # test version to iron out installation file-inclusion bugs but can # also collect coverage. - pip install . # Move to home dir, otherwise we'll end up with the path to the # package in $PWD rather than the installed v - | cd $HOME export TV_INSTALL_PATH="$(python -c 'import os; import torchvision; print(os.path.dirname(os.path.abspath(torchvision.__file__)))')" echo "$TV_INSTALL_PATH" cd - script: - pytest --cov-config .coveragerc --cov torchvision --cov $TV_INSTALL_PATH -k 'not TestVideoReader and not TestVideoTransforms' test - pytest test/test_hub.py after_success: # Necessary to run coverage combine to rewrite paths from # /travis/env/path/site-packages/torchvision to actual path - coverage combine .coverage - coverage report - codecov