Add Gemma 2 to model builder #2335
Workflow file for this run
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| name: "Linux CPU x64 Build" | |
| on: | |
| workflow_dispatch: | |
| push: | |
| branches: | |
| - main | |
| - rel-* | |
| pull_request: | |
| concurrency: | |
| group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }} | |
| cancel-in-progress: true | |
| env: | |
| ORT_NIGHTLY_REST_API: "https://feeds.dev.azure.com/aiinfra/PublicPackages/_apis/packaging/Feeds/ORT-Nightly/packages?packageNameQuery=Microsoft.ML.OnnxRuntime&api-version=6.0-preview.1" | |
| ORT_PACKAGE_NAME: "Microsoft.ML.OnnxRuntime" | |
| ORT_NIGHTLY_SOURCE: "https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/ORT-Nightly/nuget/v3/index.json" | |
| DOTNET_INSTALL_DIR: "${{ github.workspace }}/dotnet" | |
| jobs: | |
| linux_cpu_x64: | |
| runs-on: [ "self-hosted", "1ES.Pool=onnxruntime-genai-Ubuntu2204-AMD-CPU" ] | |
| steps: | |
| - name: Checkout OnnxRuntime GenAI repo | |
| uses: actions/checkout@v4 | |
| with: | |
| submodules: true | |
| - name: Install jq | |
| run: | | |
| sudo apt-get install jq | |
| - uses: actions/setup-dotnet@v4 | |
| with: | |
| dotnet-version: '8.0.x' | |
| - name: Get the Latest OnnxRuntime Nightly Version | |
| run: | | |
| ORT_NIGHTLY_VERSION=$(curl -s "${{ env.ORT_NIGHTLY_REST_API }}" | jq -r '.value[0].versions[0].normalizedVersion') | |
| echo "$ORT_NIGHTLY_VERSION" | |
| echo "ORT_NIGHTLY_VERSION=$ORT_NIGHTLY_VERSION" >> $GITHUB_ENV | |
| - name: Download OnnxRuntime Nightly | |
| run: | | |
| dotnet new console | |
| dotnet add package ${{ env.ORT_PACKAGE_NAME }} --version ${{ env.ORT_NIGHTLY_VERSION }} --source ${{ env.ORT_NIGHTLY_SOURCE }} --package-directory . | |
| dotnet build | |
| continue-on-error: true | |
| - name: list files | |
| shell: bash | |
| run: | | |
| ls -l | |
| ls -R ${{ env.ORT_PACKAGE_NAME }} | |
| continue-on-error: true | |
| # TODO: Find out why do we need to to have libonnxruntime.so.$ort_version | |
| - name: Extract OnnxRuntime library and header files | |
| run: | | |
| set -e -x | |
| mkdir -p ort/lib | |
| mv microsoft.ml.onnxruntime/${{ env.ORT_NIGHTLY_VERSION }}/build/native/include ort/ | |
| mv microsoft.ml.onnxruntime/${{ env.ORT_NIGHTLY_VERSION }}/runtimes/linux-x64/native/* ort/lib/ | |
| ort_version=$(echo ${{ env.ORT_NIGHTLY_VERSION }} | cut -d- -f1-1) | |
| cp ort/lib/libonnxruntime.so ort/lib/libonnxruntime.so.$ort_version | |
| - name: Build with CMake and GCC | |
| run: | | |
| set -e -x | |
| rm -rf build | |
| cmake --preset linux_gcc_cpu_release | |
| cmake --build --preset linux_gcc_cpu_release | |
| - name: Install the python wheel and test dependencies | |
| run: | | |
| python3 -m pip install build/cpu/wheel/onnxruntime_genai*.whl | |
| python3 -m pip install -r test/python/requirements-nightly-cpu.txt --user | |
| - name: Get HuggingFace Token | |
| run: | | |
| az login --identity --username 63b63039-6328-442f-954b-5a64d124e5b4 | |
| HF_TOKEN=$(az keyvault secret show --vault-name anubissvcsecret --name ANUBIS-HUGGINGFACE-TOKEN --query value) | |
| echo "::add-mask::$HF_TOKEN" | |
| echo "HF_TOKEN=$HF_TOKEN" >> $GITHUB_ENV | |
| # This will also download all the test models to the test/test_models directory | |
| # These models are used by the python tests as well as C#, C++ and others. | |
| - name: Run the python tests | |
| run: | | |
| python3 test/python/test_onnxruntime_genai.py --cwd test/python --test_models test/test_models | |
| - name: Verify Build Artifacts | |
| if: always() | |
| continue-on-error: true | |
| run: | | |
| ls -l ${{ github.workspace }}/build/cpu | |
| - name: Run tests | |
| run: | | |
| set -e -x | |
| ./build/cpu/test/unit_tests |