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.travis.yml
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.travis.yml
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language: python
dist: xenial
matrix:
include:
- env: LINT_CHECK
python: "2.7"
install: pip install flake8
script: flake8
after_success: []
- python: "2.7"
env: IMAGE_BACKEND=Pillow-SIMD
- python: "2.7"
- 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:$PATH"
- hash -r
- conda config --set always_yes yes --set changeps1 no
- conda update -q conda
# Useful for debugging any issues with conda
- conda info -a
- conda create -q -n test-environment python=$TRAVIS_PYTHON_VERSION pytorch scipy -c pytorch
- 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 mock
- 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 test
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