-
Notifications
You must be signed in to change notification settings - Fork 155
277 lines (252 loc) · 12.4 KB
/
refresh-one-notebook.yaml
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
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
- CifarInFhe \n
- CifarInFheWithSmallerAccumulators \n
- CifarQuantizationAwareTraining \n
- ClassifierComparison \n
- ClientServer \n
- ConvolutionalNeuralNetwork \n
- CreditScoring \n
- DecisionTreeClassifier \n
- DecisionTreeRegressor \n
- Deployment \n
- EncryptedPandas \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
- WhitePaperExperiments \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` ---
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"
EncryptedPandas: "docs/advanced_examples/EncryptedPandas.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"
WhitePaperExperiments: "use_case_examples/white_paper_experiment/WhitePaperExperiments.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@9bb56186c3b09b4f86b1c65136769dd318469633
- name: Configure AWS credentials
uses: aws-actions/configure-aws-credentials@e3dd6a429d7300a6a4c196c26e071d42e0343502
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@fcfb31a5760dad1314a64a0e172b78ec6fc8a17e
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@9bb56186c3b09b4f86b1c65136769dd318469633
with:
token: ${{ secrets.BOT_TOKEN }}
lfs: true
- name: 'Set up Python 3.8'
uses: actions/setup-python@82c7e631bb3cdc910f68e0081d67478d79c6982d
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@6d6857d36972b65feb161a90e484f2984215f83e
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@e3dd6a429d7300a6a4c196c26e071d42e0343502
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@fcfb31a5760dad1314a64a0e172b78ec6fc8a17e
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@9bb56186c3b09b4f86b1c65136769dd318469633
- 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@4e5fb42d249be6a45a298f3c9543b111b02f7907
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 }}