Revision 5de19fa36ed2354e58ef99e7d5d880bb0d0612fe authored by Jean Kossaifi on 23 April 2019, 15:12:29 UTC, committed by Jean Kossaifi on 23 April 2019, 15:12:29 UTC
1 parent 99572fe
.travis.yml
language: python
matrix:
include:
- os: linux
python: 3.5
env: BACKEND=numpy
- os: linux
python: 3.6
env: BACKEND=mxnet
- os: linux
python: 3.6
env: BACKEND=pytorch
- os: linux
python: 3.6
env: BACKEND=tensorflow
- os: linux
python: 3.6
env: BACKEND=numpy DEPLOY_DOCS=1
addons:
apt:
packages:
- texlive
- texlive-latex-extra
- dvipng
install:
# Install miniconda
- deactivate
- 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:$PATH"
- hash -r
- conda config --set always_yes yes --set changeps1 no
- conda update -q conda
# Useful for debugging any issues with conda
- conda info -a
# Create and activate a test-environment with numpy and scipy
- conda create -q -n test-environment python=$TRAVIS_PYTHON_VERSION numpy scipy
- source activate test-environment
- pip install coveralls pytest pytest-cov nose
# For NumPy: install sparse for contrib.sparse tests
# For MXNet, additionnal dependencies are required
# For PyTorch, install the cpu version and torchvision
- if [[ "$BACKEND" == "numpy" ]]; then
pip install sparse;
elif [[ "$BACKEND" == "pytorch" ]]; then
conda install pytorch-cpu torchvision-cpu -c pytorch;
elif [[ "$BACKEND" == "tensorflow" ]]; then
conda install tensorflow;
elif [[ "$BACKEND" == "mxnet" ]]; then
sudo apt-get -qq update;
sudo apt-get install -y libatlas-base-dev;
pip install mxnet;
fi
- pip install -e .
script:
- travis_wait make BACKEND=$BACKEND test-coverage
after_success:
- coveralls
- bash deploy_docs.sh
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