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e2e.yml
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name: E2E
on:
push:
branches:
- main
pull_request:
branches:
- main
concurrency:
group: ${{ github.workflow }}-${{ github.ref == 'refs/heads/main' && github.run_id || github.event.pull_request.number || github.ref }}
cancel-in-progress: true
env:
FLWR_TELEMETRY_ENABLED: 0
ARTIFACT_BUCKET: artifact.flower.ai
jobs:
wheel:
runs-on: ubuntu-22.04
name: Build, test and upload wheel
steps:
- uses: actions/checkout@v4
- name: Bootstrap
uses: ./.github/actions/bootstrap
- name: Install dependencies (mandatory only)
run: python -m poetry install
- name: Build wheel
run: ./dev/build.sh
- name: Test wheel
run: ./dev/test-wheel.sh
- name: Upload wheel
if: ${{ github.repository == 'adap/flower' && !github.event.pull_request.head.repo.fork && github.actor != 'dependabot[bot]' }}
id: upload
env:
AWS_DEFAULT_REGION: ${{ secrets.AWS_DEFAULT_REGION }}
AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }}
AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
run: |
cd ./dist
echo "WHL_PATH=$(ls *.whl)" >> "$GITHUB_OUTPUT"
sha_short=$(git rev-parse --short HEAD)
echo "SHORT_SHA=$sha_short" >> "$GITHUB_OUTPUT"
[ -z "${{ github.head_ref }}" ] && dir="${{ github.ref_name }}" || dir="pr/${{ github.head_ref }}"
echo "DIR=$dir" >> "$GITHUB_OUTPUT"
aws s3 cp --content-disposition "attachment" --cache-control "no-cache" ./ s3://${{ env.ARTIFACT_BUCKET }}/py/$dir/$sha_short --recursive
aws s3 cp --content-disposition "attachment" --cache-control "no-cache" ./ s3://${{ env.ARTIFACT_BUCKET }}/py/$dir/latest --recursive
outputs:
whl_path: ${{ steps.upload.outputs.WHL_PATH }}
short_sha: ${{ steps.upload.outputs.SHORT_SHA }}
dir: ${{ steps.upload.outputs.DIR }}
frameworks:
runs-on: ubuntu-22.04
timeout-minutes: 10
needs: wheel
# Using approach described here:
# https://docs.github.com/en/actions/using-jobs/using-a-matrix-for-your-jobs
strategy:
matrix:
include:
- directory: e2e-bare
e2e: e2e_bare
- directory: e2e-bare-https
e2e: e2e_bare_https
- directory: e2e-bare-auth
e2e: e2e_bare_auth
- directory: e2e-jax
e2e: e2e_jax
- directory: e2e-pytorch
e2e: e2e_pytorch
dataset: |
from torchvision.datasets import CIFAR10
CIFAR10('./data', download=True)
- directory: e2e-tensorflow
e2e: e2e_tensorflow
dataset: |
import tensorflow as tf
tf.keras.datasets.cifar10.load_data()
- directory: e2e-opacus
e2e: e2e_opacus
dataset: |
from torchvision.datasets import CIFAR10
CIFAR10('./data', download=True)
- directory: e2e-pytorch-lightning
e2e: e2e_pytorch_lightning
dataset: |
from torchvision.datasets import MNIST
MNIST('./data', download=True)
- directory: e2e-scikit-learn
e2e: e2e_scikit_learn
dataset: |
import openml
openml.datasets.get_dataset(554)
- directory: e2e-fastai
e2e: e2e_fastai
dataset: |
from fastai.vision.all import untar_data, URLs
untar_data(URLs.MNIST)
- directory: e2e-pandas
e2e: e2e_pandas
dataset: |
from pathlib import Path
from sklearn.datasets import load_iris
Path('data').mkdir(exist_ok=True)
load_iris(as_frame=True)['data'].to_csv('./data/client.csv')
name: Framework / ${{ matrix.directory }}
defaults:
run:
working-directory: e2e/${{ matrix.directory }}
steps:
- uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: 3.8
- name: Install build tools
run: |
python -m pip install -U pip==23.3.1
shell: bash
# Using approach described here for Python location caching:
# https://blog.allenai.org/python-caching-in-github-actions-e9452698e98d
- name: Cache Python location
id: cache-restore-python
uses: actions/cache/restore@v4
with:
path: ${{ env.pythonLocation }}
key: pythonloc-${{ runner.os }}-${{ matrix.directory }}-${{ env.pythonLocation }}-${{ hashFiles(format('./e2e/{0}/pyproject.toml', matrix.directory)) }}
- name: Install dependencies
run: python -m pip install --upgrade .
- name: Install Flower wheel from artifact store
if: ${{ github.repository == 'adap/flower' && !github.event.pull_request.head.repo.fork && github.actor != 'dependabot[bot]' }}
run: |
python -m pip install https://${{ env.ARTIFACT_BUCKET }}/py/${{ needs.wheel.outputs.dir }}/${{ needs.wheel.outputs.short_sha }}/${{ needs.wheel.outputs.whl_path }}
- name: Install e2e components
run: pip install .
- name: Download dataset
if: ${{ matrix.dataset }}
run: python -c "${{ matrix.dataset }}"
- name: Run edge client test
if: ${{ matrix.directory != 'e2e-bare-auth' }}
working-directory: e2e/${{ matrix.directory }}/${{ matrix.e2e }}
run: ./../../test_legacy.sh "${{ matrix.directory }}"
- name: Run virtual client test
if: ${{ matrix.directory != 'e2e-bare-auth' }}
run: python simulation.py
- name: Run simulation engine test
if: ${{ matrix.directory == 'e2e-pytorch' || matrix.directory == 'e2e-tensorflow'}}
run: python simulation_next.py
- name: Run driver test
if: ${{ matrix.directory != 'e2e-bare-auth' }}
run: ./../test_superlink.sh "${{ matrix.directory }}"
- name: Run driver test with REST
if: ${{ matrix.directory == 'e2e-bare' }}
run: ./../test_superlink.sh bare rest
- name: Run driver test with SQLite database
if: ${{ matrix.directory == 'e2e-bare' }}
run: ./../test_superlink.sh bare sqlite
- name: Run driver test with client authentication
if: ${{ matrix.directory == 'e2e-bare-auth' }}
run: ./../test_superlink.sh bare client-auth
- name: Run reconnection test with SQLite database
if: ${{ matrix.directory == 'e2e-bare' }}
run: ./../test_reconnection.sh sqlite
- name: Cache save Python location
id: cache-save-python
uses: actions/cache/save@v4
if: ${{ github.ref_name == 'main' && !steps.cache-restore-python.outputs.cache-hit }}
with:
path: ${{ env.pythonLocation }}
key: pythonloc-${{ runner.os }}-${{ matrix.directory }}-${{ env.pythonLocation }}-${{ hashFiles(format('./e2e/{0}/pyproject.toml', matrix.directory)) }}
strategies:
runs-on: ubuntu-22.04
timeout-minutes: 10
needs: wheel
strategy:
matrix:
strat: ["FedMedian", "FedTrimmedAvg", "QFedAvg", "FaultTolerantFedAvg", "FedAvgM", "FedAdam", "FedAdagrad", "FedYogi"]
name: Strategy / ${{ matrix.strat }}
defaults:
run:
working-directory: e2e/strategies
steps:
- uses: actions/checkout@v4
- name: Bootstrap
uses: ./.github/actions/bootstrap
- name: Install dependencies
run: |
python -m poetry install
- name: Install Flower wheel from artifact store
if: ${{ github.repository == 'adap/flower' && !github.event.pull_request.head.repo.fork && github.actor != 'dependabot[bot]' }}
run: |
python -m pip install https://${{ env.ARTIFACT_BUCKET }}/py/${{ needs.wheel.outputs.dir }}/${{ needs.wheel.outputs.short_sha }}/${{ needs.wheel.outputs.whl_path }}
- name: Cache Datasets
uses: actions/cache@v4
with:
path: "~/.keras"
key: keras-datasets
- name: Download Datasets
run: |
python -c "import tensorflow as tf; tf.keras.datasets.mnist.load_data()"
- name: Test strategies
run: |
python test.py "${{ matrix.strat }}"
templates:
runs-on: ubuntu-22.04
timeout-minutes: 10
needs: wheel
strategy:
matrix:
framework: ["numpy", "pytorch", "tensorflow", "jax", "sklearn"]
name: Template / ${{ matrix.framework }}
steps:
- uses: actions/checkout@v4
- name: Bootstrap
uses: ./.github/actions/bootstrap
- name: Install Flower from repo
if: ${{ github.repository != 'adap/flower' || github.event.pull_request.head.repo.fork || github.actor == 'dependabot[bot]' }}
run: |
python -m pip install .
- name: Install Flower wheel from artifact store
if: ${{ github.repository == 'adap/flower' && !github.event.pull_request.head.repo.fork && github.actor != 'dependabot[bot]' }}
run: |
python -m pip install https://${{ env.ARTIFACT_BUCKET }}/py/${{ needs.wheel.outputs.dir }}/${{ needs.wheel.outputs.short_sha }}/${{ needs.wheel.outputs.whl_path }}
- name: Create project and install it
run: |
flwr new tmp-${{ matrix.framework }} --framework ${{ matrix.framework }} --username gh_ci
cd tmp-${{ matrix.framework }}
pip install .
- name: Run project
run: |
cd tmp-${{ matrix.framework }}
flwr run --run-config num-server-rounds=1 2>&1 | tee flwr_output.log
if grep -q "ERROR" flwr_output.log; then
exit 1
fi