https://github.com/tensorly/tensorly
Tip revision: db1eb97a113d2dfe213e4053969f0aeef2884a9e authored by Aaron Meyer on 25 September 2022, 18:01:17 UTC
Merge pull request #450 from tensorly/fix-docs
Merge pull request #450 from tensorly/fix-docs
Tip revision: db1eb97
test.yml
name: Test TensorLy
on: [push, pull_request]
jobs:
build:
runs-on: ubuntu-latest
strategy:
fail-fast: false
matrix:
BACKEND: ['numpy', 'pytorch', 'mxnet']
python-version: ['3.11']
include:
- BACKEND: 'numpy'
python-version: '3.8'
- BACKEND: 'numpy'
python-version: '3.9'
TENSORLY_TENALG_BACKEND: ['einsum']
- BACKEND: 'jax'
python-version: '3.11'
TENSORLY_TENALG_BACKEND: ['einsum']
- BACKEND: 'tensorflow'
python-version: '3.11'
TENSORLY_TENALG_BACKEND: ['einsum']
steps:
- uses: actions/checkout@v3
- name: Set up Python
uses: actions/setup-python@v4
with:
python-version: ${{ matrix.python-version }}
cache: "pip"
cache-dependency-path: |
requirements.txt
- name: Install dependencies and backend ${{matrix.BACKEND}}
run: |
python -m pip install --upgrade pip
python -m pip install -r requirements.txt
python -m pip install -r doc/requirements_doc.txt
echo "Installing dependencies for BACKEND=${{matrix.BACKEND}}"
if [[ "${{matrix.BACKEND}}" == "numpy" ]]; then
echo "Installing sparse";
pip install sparse;
elif [[ "${{matrix.BACKEND}}" == "pytorch" ]]; then
echo "Installing PyTorch";
pip install torch torchvision;
elif [[ "${{matrix.BACKEND}}" == "tensorflow" ]]; then
echo "Installing TensorFlow";
pip install tensorflow;
elif [[ "${{matrix.BACKEND}}" == "mxnet" ]]; then
echo "Installing MXNet";
sudo apt install gfortran;
echo "Reverting to older version of numpy 1.23.1 until MXNet fixed bool issue"
python -m pip uninstall numpy -y;
python -m pip install numpy==1.23.1;
pip install mxnet;
elif [[ "${{matrix.BACKEND}}" == "jax" ]]; then
echo "Installing JAX";
pip install jax jaxlib;
fi
- name: Install package
run: |
python -m pip install -e .
- name: Test with backend ${{matrix.BACKEND}} pytest and coverage
run: |
TENSORLY_BACKEND=${{matrix.BACKEND}} pytest -vv --cov tensorly --cov-report xml --durations=10 tensorly
- name: Check coverage with CodeCov
uses: codecov/codecov-action@v3
with:
file: ./coverage.xml
verbose: true