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Tfhers ml example

Tfhers ml example #158

name: concrete-ml test
on:
workflow_dispatch:
pull_request:
paths:
- .github/workflows/concrete_ml_test.yml
- frontends/concrete-python/**
push:
branches:
- 'main'
- 'release/*'
env:
DOCKER_IMAGE: ghcr.io/zama-ai/concrete-compiler
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
concurrency:
group: concrete_ml_test_${{ github.ref }}
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
jobs:
setup-instance:
runs-on: ubuntu-latest
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7 # v1.3.0
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: aws
profile: cpu-test
build-and-run-tests:
strategy:
matrix:
python-version: ["3.8"]
needs: setup-instance
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
steps:
- name: Checkout
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
with:
submodules: recursive
- name: Set release version
run: echo "__version__ = \"$(date +"%Y.%m.%d")\"" >| frontends/concrete-python/version.txt
- name: Expose release version from Python
run: cp frontends/concrete-python/version.txt frontends/concrete-python/concrete/fhe/version.py
- name: Create build directory
run: mkdir build
- name: Build wheel
uses: addnab/docker-run-action@4f65fabd2431ebc8d299f8e5a018d79a769ae185 # v3
id: build-compiler-bindings
with:
registry: ghcr.io
image: ${{ env.DOCKER_IMAGE }}
username: ${{ secrets.GHCR_LOGIN }}
password: ${{ secrets.GHCR_PASSWORD }}
options: >-
-v ${{ github.workspace }}:/concrete
-v ${{ github.workspace }}/build:/build
shell: bash
run: |
set -e
rm -rf /build/*
export PYTHON=${{ format('python{0}', matrix.python-version) }}
echo "Using $PYTHON"
cd /concrete/frontends/concrete-python
make PYTHON=$PYTHON venv
source .venv/bin/activate
cd /concrete/compilers/concrete-compiler/compiler
make BUILD_DIR=/build CCACHE=ON DATAFLOW_EXECUTION_ENABLED=ON Python3_EXECUTABLE=$(which python) python-bindings
echo "Debug: ccache statistics (after the build):"
ccache -s
cd /concrete/frontends/concrete-python
export COMPILER_BUILD_DIRECTORY="/build"
make whl
deactivate
- name: Setup Python
uses: actions/setup-python@0b93645e9fea7318ecaed2b359559ac225c90a2b # v5.3.0
with:
python-version: ${{ matrix.python-version }}
- name: ML Tests
run: |
export HOME="/home/ubuntu"
CONCRETE_PYTHON_WHEEL="$(pwd)/frontends/concrete-python/dist/*manylinux*.whl"
apt update
apt install git git-lfs -y
pip install poetry==1.7.1
./ci/scripts/test_cml.sh --use-wheel "${CONCRETE_PYTHON_WHEEL}" --verbose
- name: Slack Notification
if: ${{ failure() && github.ref == 'refs/heads/main' }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "build-and-run-tests finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, build-and-run-tests ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7 # v1.3.0
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
label: ${{ needs.setup-instance.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"