Revision 45e64d9716871073415dab5f647c89d7839a88fe authored by Meraj Hashemizadeh on 25 August 2021, 23:47:27 UTC, committed by Meraj Hashemizadeh on 28 August 2021, 05:25:53 UTC
1 parent dea9ac8
.travis.yml
language: python
matrix:
include:
- os: linux
python: 3.8
env: BACKEND=mxnet
- os: linux
python: 3.8
env: BACKEND=jax
- os: linux
python: 3.8
env: BACKEND=pytorch
- os: linux
python: 3.8
env: BACKEND=tensorflow
- os: linux
python: 3.8
env: BACKEND=numpy DEPLOY_DOCS=1 DEPLOY_PYPI=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 cpuonly -c pytorch;
elif [[ "$BACKEND" == "tensorflow" ]]; then
conda install tensorflow;
elif [[ "$BACKEND" == "mxnet" ]]; then
pip install mxnet;
elif [[ "$BACKEND" == "jax" ]]; then
pip install jax jaxlib;
fi
- pip install -e .
script:
- travis_wait make BACKEND=$BACKEND test-coverage
after_success:
- coveralls
- bash deploy_docs.sh
deploy:
provider: pypi
user: JeanKossaifi
password:
secure: 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
on:
tags: true
branch: master
condition: $DEPLOY_PYPI == 1
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