No-basekit build and test #52
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| name: No-basekit build and test | |
| on: | |
| workflow_dispatch: | |
| schedule: | |
| - cron: "5 2 * * *" | |
| permissions: read-all | |
| env: | |
| TRITON_DISABLE_LINE_INFO: 1 | |
| jobs: | |
| integration-tests: | |
| name: Integration tests | |
| runs-on: | |
| - max1100 | |
| - rolling | |
| - runner-0.0.19 | |
| strategy: | |
| matrix: | |
| python: ${{ github.ref_name == 'llvm-target' && fromJson('["3.9", "3.10", "3.11"]') || fromJson('["3.9"]') }} | |
| defaults: | |
| run: | |
| shell: bash -noprofile --norc -eo pipefail -c "source {0}" | |
| steps: | |
| - name: Checkout repository | |
| uses: actions/checkout@v4 | |
| - name: Calculate PATH | |
| run: | | |
| echo $HOME/miniforge3/bin >>$GITHUB_PATH | |
| - name: Load conda cache | |
| id: conda-cache | |
| uses: ./.github/actions/load | |
| env: | |
| CACHE_NUMBER: 6 | |
| with: | |
| path: $HOME/miniforge3/envs/triton | |
| key: no-basekit-py${{ matrix.python }}-${{ hashFiles('scripts/triton.yml', 'python/pyproject.toml', 'python/setup.py', '.github/pins/ipex.txt', '.github/pins/pytorch.txt') }}-${{ env.CACHE_NUMBER }} | |
| - name: Update conda env | |
| if: ${{ steps.conda-cache.outputs.status == 'miss' }} | |
| run: | | |
| conda create -n triton --override-channels -c conda-forge python=${{ matrix.python }}.* | |
| conda env update -f scripts/triton.yml | |
| ln -snf /usr/include/level_zero $HOME/miniforge3/envs/triton/x86_64-conda-linux-gnu/sysroot/usr/include/level_zero | |
| find /usr -name libze_\* -exec ln -sf {} $HOME/miniforge3/envs/triton/lib/ \; | |
| find /home/runner/intel/oneapi/mkl/2025.0/lib/ \( -name '*.so' -or -name '*.so.*' \) -exec cp -n {} $HOME/miniforge3/envs/triton/lib \; | |
| find /home/runner/intel/oneapi/compiler/2024.1/lib/ \( -name '*.so' -or -name '*.so.*' \) -exec cp -n {} $HOME/miniforge3/envs/triton/lib \; | |
| - name: Calculate ENV | |
| run: | | |
| python -m venv ./.venv; source ./.venv/bin/activate | |
| echo LD_LIBRARY_PATH=$HOME/miniforge3/envs/triton/lib:$LD_LIBRARY_PATH:$VIRTUAL_ENV/lib >>$GITHUB_ENV | |
| echo CPATH=$CPATH:$VIRTUAL_ENV/include:$VIRTUAL_ENV/include/sycl >>$GITHUB_ENV | |
| - name: Install deps | |
| run: | | |
| python -m venv ./.venv; source ./.venv/bin/activate | |
| wget https://files.pythonhosted.org/packages/cc/1e/d74e608f0c040e4f72dbfcd3b183f39570f054d08de39cc431f153220d90/intel_sycl_rt-2024.1.2-py2.py3-none-manylinux1_x86_64.whl | |
| wheel unpack intel_sycl_rt-2024.1.2-py2.py3-none-manylinux1_x86_64.whl | |
| mkdir -p ./intel_sycl_rt-2024.1.2/intel_sycl_rt-2024.1.2.data/data/include | |
| cp -r /opt/intel/oneapi/compiler/2024.1/include/sycl ./intel_sycl_rt-2024.*/intel_sycl_rt-2024.*.data/data/include/ | |
| wheel pack intel_sycl_rt-2024.1.2 --build headers_patch | |
| mv intel_sycl_rt-2024.1.2-headers_patch-py2.py3-none-manylinux1_x86_64.whl intel_sycl_rt-2024.1.2-py2.py3-none-manylinux1_x86_64.whl | |
| pip install --force-reinstall ./intel_sycl_rt-2024.1.2-py2.py3-none-manylinux1_x86_64.whl | |
| pip install dpcpp_cpp_rt==2024.1.2 | |
| - name: Add conda info to log | |
| run: | | |
| conda info | |
| conda list -n triton | |
| - name: Install latest nightly wheels | |
| uses: ./.github/actions/install-wheels | |
| with: | |
| gh_token: ${{ secrets.GITHUB_TOKEN }} | |
| install_cmd: conda run --no-capture-output -n triton pip install | |
| python_version: ${{ matrix.python }} | |
| wheels_pattern: 'torch-*' | |
| - name: Build Triton | |
| run: | | |
| set -x | |
| python -m venv ./.venv; source ./.venv/bin/activate | |
| export DEBUG=1 | |
| cd python | |
| conda run --no-capture-output -n triton pip install pybind11 | |
| conda run --no-capture-output -n triton pip install --no-build-isolation -e '.[build,tests,tutorials]' | |
| - name: Run tests | |
| run: | | |
| set -x | |
| python -m venv ./.venv; source ./.venv/bin/activate | |
| export TRITON_TEST_REPORTS=true | |
| export TRITON_TEST_REPORTS_DIR=$HOME/reports | |
| # FIXME https://github.com/intel/intel-xpu-backend-for-triton/issues/866 | |
| export TRITON_TEST_SKIPLIST_DIR=scripts/skiplist/no-basekit | |
| conda run --no-capture-output -n triton bash -v -x scripts/test-triton.sh | |
| - name: Run E2E test | |
| run: | | |
| # FIXME https://github.com/intel/intel-xpu-backend-for-triton/issues/1031 | |
| cd ../pytorch || { | |
| PYTORCH_COMMIT_ID=$(<.github/pins/pytorch.txt) | |
| cd .. | |
| git clone --single-branch -b dev/triton-test-3.0 --recurse-submodules https://github.com/Stonepia/pytorch.git | |
| cd pytorch | |
| git branch pin-branch $PYTORCH_COMMIT_ID | |
| git switch pin-branch | |
| } | |
| TRANSFORMERS_VERSION="$(<.ci/docker/ci_commit_pins/huggingface.txt)" | |
| conda run -n triton pip install pyyaml pandas scipy numpy psutil pyre_extensions torchrec transformers==$TRANSFORMERS_VERSION | |
| # Set WORKSPACE for inductor_xpu_test.sh to make sure it creates "inductor_log" outside of pytorch cloned directory | |
| export WORKSPACE=$GITHUB_WORKSPACE | |
| # TODO: Find the fastest Hugging Face model | |
| conda run --no-capture-output -n triton $GITHUB_WORKSPACE/scripts/inductor_xpu_test.sh huggingface float32 inference accuracy xpu 0 static 1 0 AlbertForMaskedLM | |
| # The script above always returns 0, so we need an additional check to see if the accuracy test passed | |
| cat $WORKSPACE/inductor_log/*/*/*.csv | |
| grep AlbertForMaskedLM $WORKSPACE/inductor_log/*/*/*.csv | grep -q ,pass, | |
| - name: Save conda cache | |
| if: ${{ steps.conda-cache.outputs.status == 'miss' }} | |
| uses: ./.github/actions/save | |
| with: | |
| path: ${{ steps.conda-cache.outputs.path }} | |
| dest: ${{ steps.conda-cache.outputs.dest }} |