Refresh One Notebook #22
Workflow file for this run
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name: Refresh One Notebook | |
on: | |
workflow_dispatch: | |
inputs: | |
notebook: | |
# --- refresh_notebooks_list.py: refresh list of notebooks currently available [START] --- | |
# --- do not edit, auto generated part by `make refresh_notebooks_list` --- | |
description: "Notebook file name only in: \n | |
- Cifar10 \n | |
- CifarInFhe \n | |
- CifarInFheWithSmallerAccumulators \n | |
- CifarQuantizationAwareTraining \n | |
- ClassifierComparison \n | |
- ClientServer \n | |
- ConvolutionalNeuralNetwork \n | |
- CreditScoring \n | |
- DecisionTreeClassifier \n | |
- DecisionTreeRegressor \n | |
- Deployment \n | |
- ExperimentPrivacyTreePaper \n | |
- FromImageNetToCifar \n | |
- FullyConnectedNeuralNetwork \n | |
- FullyConnectedNeuralNetworkOnMNIST \n | |
- GLMComparison \n | |
- HealthCarePrediction \n | |
- KaggleTitanic \n | |
- KNearestNeighbors \n | |
- LinearRegression \n | |
- LinearSVR \n | |
- LogisticRegression \n | |
- LogisticRegressionTraining \n | |
- PerrorImpactOnFMNIST \n | |
- PoissonRegression \n | |
- QGPT2Evaluate \n | |
- QuantFrameworkExample \n | |
- QuantizationAwareTraining \n | |
- RegressorComparison \n | |
- SentimentClassification \n | |
- SVMClassifier \n | |
- XGBClassifier \n | |
- XGBRegressor \n | |
" | |
# --- refresh_notebooks_list.py: refresh list of notebooks currently available [END] --- | |
required: true | |
concurrency: | |
group: "${{ github.ref }}-${{ github.event_name }}-${{ github.workflow }}-${{ github.event.inputs.notebook }}" | |
cancel-in-progress: false | |
env: | |
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }} | |
# --- refresh_notebooks_list.py: refresh list of notebook paths currently available [START] --- | |
# --- do not edit, auto generated part by `make refresh_notebooks_list` --- | |
Cifar10: "use_case_examples/cifar/cifar_brevitas_with_model_splitting/Cifar10.ipynb" | |
CifarInFhe: "use_case_examples/cifar/cifar_brevitas_finetuning/CifarInFhe.ipynb" | |
CifarInFheWithSmallerAccumulators: "use_case_examples/cifar/cifar_brevitas_finetuning/CifarInFheWithSmallerAccumulators.ipynb" | |
CifarQuantizationAwareTraining: "use_case_examples/cifar/cifar_brevitas_finetuning/CifarQuantizationAwareTraining.ipynb" | |
ClassifierComparison: "docs/advanced_examples/ClassifierComparison.ipynb" | |
ClientServer: "docs/advanced_examples/ClientServer.ipynb" | |
ConvolutionalNeuralNetwork: "docs/advanced_examples/ConvolutionalNeuralNetwork.ipynb" | |
CreditScoring: "use_case_examples/credit_scoring/CreditScoring.ipynb" | |
DecisionTreeClassifier: "docs/advanced_examples/DecisionTreeClassifier.ipynb" | |
DecisionTreeRegressor: "docs/advanced_examples/DecisionTreeRegressor.ipynb" | |
Deployment: "docs/advanced_examples/Deployment.ipynb" | |
ExperimentPrivacyTreePaper: "docs/advanced_examples/ExperimentPrivacyTreePaper.ipynb" | |
FromImageNetToCifar: "use_case_examples/cifar/cifar_brevitas_finetuning/FromImageNetToCifar.ipynb" | |
FullyConnectedNeuralNetwork: "docs/advanced_examples/FullyConnectedNeuralNetwork.ipynb" | |
FullyConnectedNeuralNetworkOnMNIST: "docs/advanced_examples/FullyConnectedNeuralNetworkOnMNIST.ipynb" | |
GLMComparison: "docs/advanced_examples/GLMComparison.ipynb" | |
HealthCarePrediction: "use_case_examples/disease_prediction/HealthCarePrediction.ipynb" | |
KaggleTitanic: "use_case_examples/titanic/KaggleTitanic.ipynb" | |
KNearestNeighbors: "docs/advanced_examples/KNearestNeighbors.ipynb" | |
LinearRegression: "docs/advanced_examples/LinearRegression.ipynb" | |
LinearSVR: "docs/advanced_examples/LinearSVR.ipynb" | |
LogisticRegression: "docs/advanced_examples/LogisticRegression.ipynb" | |
LogisticRegressionTraining: "docs/advanced_examples/LogisticRegressionTraining.ipynb" | |
PerrorImpactOnFMNIST: "use_case_examples/cifar/cifar_brevitas_finetuning/PerrorImpactOnFMNIST.ipynb" | |
PoissonRegression: "docs/advanced_examples/PoissonRegression.ipynb" | |
QGPT2Evaluate: "use_case_examples/llm/QGPT2Evaluate.ipynb" | |
QuantFrameworkExample: "use_case_examples/llm/QuantFrameworkExample.ipynb" | |
QuantizationAwareTraining: "docs/advanced_examples/QuantizationAwareTraining.ipynb" | |
RegressorComparison: "docs/advanced_examples/RegressorComparison.ipynb" | |
SentimentClassification: "use_case_examples/sentiment_analysis_with_transformer/SentimentClassification.ipynb" | |
SVMClassifier: "docs/advanced_examples/SVMClassifier.ipynb" | |
XGBClassifier: "docs/advanced_examples/XGBClassifier.ipynb" | |
XGBRegressor: "docs/advanced_examples/XGBRegressor.ipynb" | |
# --- refresh_notebooks_list.py: refresh list of notebook paths currently available [END] --- | |
jobs: | |
start-runner-linux: | |
name: Start EC2 runner | |
runs-on: ubuntu-20.04 | |
outputs: | |
label-38: ${{ steps.start-ec2-runner-38.outputs.label }} | |
ec2-instance-id-38: ${{ steps.start-ec2-runner-38.outputs.ec2-instance-id || '' }} | |
steps: | |
- name: Checkout Code | |
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 | |
- name: Configure AWS credentials | |
uses: aws-actions/configure-aws-credentials@010d0da01d0b5a38af31e9c3470dbfdabdecca3a | |
with: | |
aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }} | |
aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }} | |
aws-region: ${{ secrets.AWS_REGION }} | |
- name: Start EC2 runner python 38 | |
id: start-ec2-runner-38 | |
uses: machulav/ec2-github-runner@2c4d1dcf2c54673ed3bfd194c4b6919ed396a209 | |
with: | |
mode: start | |
github-token: ${{ secrets.EC2_RUNNER_BOT_TOKEN }} | |
ec2-image-id: ${{ secrets.AWS_EC2_AMI }} | |
ec2-instance-type: "m6i.metal" | |
subnet-id: ${{ secrets.AWS_EC2_SUBNET_ID }} | |
security-group-id: ${{ secrets.AWS_EC2_SECURITY_GROUP_ID }} | |
refresh-one-notebook: | |
needs: [start-runner-linux] | |
runs-on: ${{ needs.start-runner-linux.outputs.label-38 }} | |
# Run in a clean container | |
container: | |
image: ubuntu:20.04 | |
defaults: | |
run: | |
shell: bash | |
env: | |
PIP_INDEX_URL: ${{ secrets.PIP_INDEX_URL }} | |
PIP_EXTRA_INDEX_URL: ${{ secrets.PIP_EXTRA_INDEX_URL }} | |
NOTEBOOK_NAME: ${{ github.event.inputs.notebook }} | |
KAGGLE_USERNAME: ${{ secrets.KAGGLE_USERNAME }} | |
KAGGLE_KEY: ${{ secrets.KAGGLE_KEY }} | |
steps: | |
- name: Add masks | |
run: | | |
echo "::add-mask::${{ secrets.INTERNAL_PYPI_URL_FOR_MASK }}" | |
echo "::add-mask::${{ secrets.INTERNAL_REPO_URL_FOR_MASK }}" | |
# Replace default archive.ubuntu.com from docker image with fr mirror | |
# original archive showed performance issues and is farther away | |
- name: Docker container related setup and git installation | |
run: | | |
TZ=Europe/Paris | |
echo "TZ=${TZ}" >> "$GITHUB_ENV" | |
ln -snf /usr/share/zoneinfo/${TZ} /etc/localtime && echo ${TZ} > /etc/timezone | |
sed -i 's|^deb http://archive|deb http://fr.archive|g' /etc/apt/sources.list | |
apt update && apt install git git-lfs -y | |
- name: Checkout Code | |
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 | |
with: | |
token: ${{ secrets.BOT_TOKEN }} | |
lfs: true | |
- name: 'Set up Python 3.8' | |
uses: actions/setup-python@0a5c61591373683505ea898e09a3ea4f39ef2b9c | |
with: | |
python-version: '3.8' | |
- name: Install dependencies | |
run: | | |
./script/make_utils/setup_os_deps.sh | |
make setup_env | |
- name: Download Sentiment classification data-sets | |
if: ${{ env.NOTEBOOK_NAME == 'SentimentClassification' }} | |
run: | | |
source .venv/bin/activate | |
cd ./use_case_examples/encrypted_sentiment_analysis && ./download_data.sh | |
- name: Download Titanic data-sets | |
if: ${{ env.NOTEBOOK_NAME == 'KaggleTitanic' }} | |
run: | | |
source .venv/bin/activate | |
cd ./use_case_examples/titanic && ./download_data.sh | |
- name: Refresh ${{ github.event.inputs.notebook }} | |
run: | | |
make jupyter_execute_one NOTEBOOK="${{ env[env.NOTEBOOK_NAME] }}" | |
# Pull the latest changes if there are some | |
- name: Pull latest changes | |
run: | | |
git pull -X theirs | |
# If the target branch is main or a release branch, a Pull Request is opened for everyone to | |
# review. | |
- name: Open PR | |
if: ${{ github.ref_name == 'main' || startsWith(github.ref_name , 'release/') }} | |
uses: peter-evans/create-pull-request@284f54f989303d2699d373481a0cfa13ad5a6666 | |
with: | |
token: ${{ secrets.BOT_TOKEN }} | |
commit-message: "chore: refresh ${{ github.event.inputs.notebook }} notebook" | |
branch: "refresh-${{ github.event.inputs.notebook }}-notebook-for-${{ github.ref_name }}" | |
base: "${{ github.ref_name }}" | |
title: "Refresh ${{ github.event.inputs.notebook }} notebook for ${{ github.ref_name }}" | |
body: "Automatic PR with notebook refresh of ${{ github.event.inputs.notebook }} \ | |
for ${{ github.ref_name }}." | |
add-paths: | | |
docs/**/*.ipynb | |
use_case_examples/**/*.ipynb | |
# If the target branch is another branch, the current branch is automatically merged into it | |
- name: Push changes into the current branch | |
if: ${{ github.ref_name != 'main' && !(startsWith(github.ref_name , 'release/')) }} | |
uses: stefanzweifel/git-auto-commit-action@v5 | |
with: | |
commit_message: "chore: refresh ${{ github.event.inputs.notebook }} notebook" | |
add_options: '-u' | |
stop-runner-linux: | |
name: Stop EC2 runner | |
needs: [refresh-one-notebook, start-runner-linux] | |
runs-on: ubuntu-20.04 | |
if: ${{ always() && (needs.start-runner-linux.result != 'skipped') }} | |
steps: | |
- name: Configure AWS credentials | |
uses: aws-actions/configure-aws-credentials@010d0da01d0b5a38af31e9c3470dbfdabdecca3a | |
with: | |
aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }} | |
aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }} | |
aws-region: ${{ secrets.AWS_REGION }} | |
- name: Stop EC2 runner python 38 | |
uses: machulav/ec2-github-runner@2c4d1dcf2c54673ed3bfd194c4b6919ed396a209 | |
if: ${{ always() && needs.start-runner-linux.outputs.ec2-instance-id-38 }} | |
with: | |
github-token: ${{ secrets.EC2_RUNNER_BOT_TOKEN }} | |
label: ${{ needs.start-runner-linux.outputs.label-38 }} | |
ec2-instance-id: ${{ needs.start-runner-linux.outputs.ec2-instance-id-38 }} | |
mode: stop | |
send-report: | |
if: ${{ github.ref_name == 'main' || startsWith(github.ref_name , 'release/') }} | |
needs: | |
[ | |
start-runner-linux, | |
refresh-one-notebook, | |
stop-runner-linux, | |
] | |
# If the target branch is main or a release branch, a slack notification is sent | |
name: Send Slack notification | |
runs-on: ubuntu-20.04 | |
steps: | |
- uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 | |
- name: Prepare whole job status | |
if: ${{ always() }} | |
continue-on-error: true | |
env: | |
NEEDS_JSON: ${{ toJSON(needs) }} | |
run: | | |
echo "${NEEDS_JSON}" > /tmp/needs_context.json | |
JOB_STATUS=$(python3 ./script/actions_utils/actions_combine_status.py \ | |
--needs_context_json /tmp/needs_context.json) | |
echo "JOB_STATUS=${JOB_STATUS}" >> "$GITHUB_ENV" | |
- name: Slack Notification | |
continue-on-error: true | |
uses: rtCamp/action-slack-notify@b24d75fe0e728a4bf9fc42ee217caa686d141ee8 | |
env: | |
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }} | |
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png | |
SLACK_COLOR: ${{ env.JOB_STATUS || 'failure' }} | |
SLACK_MESSAGE: "Refreshing ${{ github.event.inputs.notebook }} for ${{ github.ref_name }} | |
finished with status ${{ env.JOB_STATUS || 'failure' }} (${{ env.ACTION_RUN_URL }})\n\ | |
- start-runner-linux: ${{ needs.start-runner-linux.result || 'Did not run.'}}\n\n\ | |
- refresh-one-notebook: ${{ needs.refresh-one-notebook.result || 'Did not run.' }}\n\n\ | |
- stop-runner-linux: ${{ needs.stop-runner-linux.result || 'Did not run.'}}" | |
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }} | |
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }} |