SLSA for ML models example #4
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name: SLSA for ML models example | |
on: | |
workflow_dispatch: | |
inputs: | |
model_type: | |
description: Name of the model (implies framework) | |
required: true | |
type: choice | |
options: | |
- tensorflow_model.keras | |
- tensorflow_hdf5_model.h5 | |
- tensorflow_hdf5.weights.h5 | |
- pytorch_model.pth | |
- pytorch_full_model.pth | |
- pytorch_jitted_model.pt | |
permissions: read-all | |
defaults: | |
run: | |
shell: bash | |
jobs: | |
train: | |
name: Train model and save as ${{ github.event.inputs.model_type }} | |
runs-on: ubuntu-latest | |
outputs: | |
hash: ${{ steps.hash.outputs.hash }} | |
steps: | |
- uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4.1.1 | |
- uses: actions/setup-python@0a5c61591373683505ea898e09a3ea4f39ef2b9c # v5.0.0 | |
with: | |
python-version: 3.11 | |
cache: pip | |
cache-dependency-path: slsa_for_models/install/requirements_${{ runner.os }}.txt | |
- name: Install dependencies | |
run: | | |
set -euo pipefail | |
bash .github/workflows/scripts/venv_setup.sh | |
python -m pip install --require-hashes -r slsa_for_models/install/requirements_${{ runner.os }}.txt | |
- name: Build model | |
env: | |
MODEL_TYPE: ${{ github.event.inputs.model_type }} | |
run: | | |
set -euo pipefail | |
bash .github/workflows/scripts/venv_activate.sh | |
python slsa_for_models/main.py "$MODEL_TYPE" | |
- uses: actions/upload-artifact@c7d193f32edcb7bfad88892161225aeda64e9392 # v4.0.0 | |
with: | |
path: ${{ github.event.inputs.model_type }} | |
name: ${{ github.event.inputs.model_type }} | |
if-no-files-found: error | |
- id: hash | |
env: | |
MODEL: ${{ github.event.inputs.model_type }} | |
run: | | |
set -euo pipefail | |
sha256sum "$MODEL" > checksum | |
echo "hash=$(cat checksum | base64 -w0)" >> "${GITHUB_OUTPUT}" | |
provenance: | |
needs: [train] | |
permissions: | |
actions: read | |
id-token: write | |
contents: write | |
uses: slsa-framework/slsa-github-generator/.github/workflows/generator_generic_slsa3.yml@v1.9.0 | |
with: | |
base64-subjects: "${{ needs.train.outputs.hash }}" | |
upload-assets: true # NOTE: This does nothing unless 'upload-tag-name' parameter is also set to an existing tag |