Remove special include dir #229
Workflow file for this run
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| name: Conda build and test | |
| on: | |
| workflow_dispatch: | |
| schedule: | |
| - cron: "5 2 * * *" | |
| push: | |
| permissions: read-all | |
| env: | |
| BACKEND: XPU | |
| TRITON_DISABLE_LINE_INFO: 1 | |
| GH_TOKEN: ${{ github.token }} | |
| jobs: | |
| integration-tests: | |
| name: Integration tests | |
| runs-on: | |
| - glados | |
| - spr | |
| - runner-0.0.11 | |
| strategy: | |
| matrix: | |
| python: | |
| - "3.9" | |
| # - "3.10" | |
| defaults: | |
| run: | |
| shell: bash -noprofile --norc -eo pipefail -c "source {0}" | |
| steps: | |
| - name: Checkout repository | |
| uses: actions/checkout@v4 | |
| - name: Calculate env | |
| run: | | |
| echo $HOME/miniconda3/bin >>$GITHUB_PATH | |
| echo LD_LIBRARY_PATH=$HOME/miniconda3/envs/triton/lib:$LD_LIBRARY_PATH >>$GITHUB_ENV | |
| - name: Load conda cache | |
| id: conda-cache | |
| uses: ./.github/actions/load | |
| env: | |
| CACHE_NUMBER: 4 | |
| with: | |
| path: $HOME/miniconda3/envs/triton | |
| key: conda-basekit-py${{ 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 | |
| conda env update -f scripts/basekit.yml | |
| ln -snf /usr/include/level_zero $HOME/miniconda3/envs/triton/x86_64-conda-linux-gnu/sysroot/usr/include/level_zero | |
| find /usr -name libze_\* -exec cp -n {} $HOME/miniconda3/envs/triton/lib \; | |
| - 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: '{intel_extension_for_pytorch-*,torch-*}' | |
| - name: Build Triton | |
| run: | | |
| set -x | |
| export DEBUG=1 | |
| cd python | |
| conda run --no-capture-output -n triton pip install --no-build-isolation -e '.[build,tests,tutorials]' | |
| - name: Run core tests | |
| run: | | |
| set -x | |
| # FIXME https://github.com/intel/intel-xpu-backend-for-triton/issues/866 | |
| mv scripts/core-conda-basekit.exclude-list scripts/core.exclude-list | |
| mv scripts/interpreter-conda-basekit.exclude-list scripts/interpreter.exclude-list | |
| # FIXME https://github.com/intel/intel-xpu-backend-for-triton/issues/866 | |
| sed -ie ' | |
| s/\(.*03-matrix-multiplication\)/#\1/ | |
| s/\(.*07-extern-functions\)/#\1/ | |
| s/\(.*08-grouped-gemm\)/#\1/ | |
| s/\(.*09-experimental-block-pointer\)/#\1/ | |
| ' scripts/test-triton.sh | |
| conda create -y -n dpcpp dpcpp_linux-64=2024.1.* | |
| export PATH=$PATH:$HOME/miniconda3/envs/dpcpp/bin | |
| conda run --no-capture-output -n triton bash -v -x scripts/test-triton.sh | |
| - name: Run E2E test | |
| run: | | |
| 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 }} |