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CI Legacy

CI Legacy #5783

Workflow file for this run

name: CI Legacy
on:
# Run on manual trigger
workflow_dispatch:
# Run on pull requests
pull_request:
paths-ignore:
- '*.md'
# Run on merge queue
merge_group:
# Run when pushing to main or dev branches
push:
branches:
- main
- dev*
# Run scheduled CI flow daily
schedule:
- cron: '0 8 * * 0'
jobs:
test:
runs-on: ubuntu-22.04
strategy:
fail-fast: false
matrix:
module: [attacks_1, attacks_2, estimators, defences, metrics, art]
include:
- name: legacy (TensorFlow 2.20.0 Keras 3.11.2 PyTorch 2.7.0 scikit-learn 1.6.1 Python 3.10)
framework: legacy
python: '3.10'
tensorflow: 2.20.0
keras: 3.11.2
torch: 2.8.0
torchvision: 0.23.0
torchaudio: 2.8.0
scikit-learn: 1.6.1
name: Run ${{ matrix.module }} ${{ matrix.name }} Tests
steps:
- name: Checkout Repo
uses: actions/checkout@v5
- name: Setup Python
uses: actions/setup-python@v6
with:
python-version: ${{ matrix.python }}
- name: Free up space
run: |
sudo rm -rf /usr/share/dotnet /opt/ghc /usr/local/lib/android
sudo apt-get clean
- name: Install Dependencies
run: |
sudo apt-get update
sudo apt-get -y -q install ffmpeg libavcodec-extra
pip install -q -r <(sed '/^tensorflow/d;/^keras/d;/^torch/d;/^torchvision/d;/^torchaudio/d' requirements_test.txt)
pip install tensorflow==${{ matrix.tensorflow }}
pip install keras==${{ matrix.keras }}
pip install scikit-learn==${{ matrix.scikit-learn }}
pip install torch==${{ matrix.torch }} --index-url https://download.pytorch.org/whl/cpu
pip install torchvision==${{ matrix.torchvision }} --index-url https://download.pytorch.org/whl/cpu
pip install torchaudio==${{ matrix.torchaudio }} --index-url https://download.pytorch.org/whl/cpu
pip list
- name: Cache CIFAR-10 dataset
uses: actions/cache@v4
with:
path: ~/.art/data/cifar-10-batches-py
key: cifar10-dataset-cache-v1
- name: Cache MNIST dataset
uses: actions/cache@v4
with:
path: ~/.art/data/mnist.npz
key: mnist-dataset-cache-v1
- name: Download and extract CIFAR-10 if not cached
run: |
mkdir -p ~/.art/data
if [ ! -d ~/.art/data/cifar-10-batches-py ]; then
echo "Downloading CIFAR-10 dataset..."
if curl -L -f -o cifar-10-python.tar.gz https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz; then
echo "Downloaded from www.cs.toronto.edu"
else
echo "Primary download failed, trying Dropbox mirror..."
curl -L -o cifar-10-python.tar.gz "https://www.dropbox.com/scl/fi/6mhiq4rtfszqrosasp8a9/cifar-10-batches-py.tar.gz?rlkey=g6v114un4je233j52tu5tdsbe&st=gxo2e50q&dl=1"
fi
tar -xzf cifar-10-python.tar.gz -C ~/.art/data/
else
echo "CIFAR-10 already cached."
fi
- name: Download MNIST if not cached
run: |
mkdir -p ~/.art/data
if [ ! -f ~/.art/data/mnist.npz ]; then
echo "Downloading MNIST dataset..."
curl -L -o ~/.art/data/mnist.npz https://s3.amazonaws.com/img-datasets/mnist.npz
else
echo "MNIST already cached."
fi
- name: Run ${{ matrix.name }} ${{ matrix.module }} Tests
run: ./run_tests.sh ${{ matrix.framework }} ${{ matrix.module }}
- name: Upload coverage to Codecov
uses: codecov/codecov-action@v5
with:
token: ${{ secrets.CODECOV_TOKEN }}
fail_ci_if_error: true