Refine skip list in test_ops_xpu.py
#3999
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| name: pull | |
| on: | |
| pull_request: | |
| types: | |
| - opened | |
| - synchronize | |
| - reopened | |
| - converted_to_draft | |
| - ready_for_review | |
| branches: | |
| - main | |
| - release/* | |
| concurrency: | |
| group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.sha }} | |
| cancel-in-progress: true | |
| permissions: read-all | |
| jobs: | |
| preci-ut: | |
| # Don't run on forked repos and draft PRs | |
| if: ${{ (github.repository_owner == 'intel') && (github.event.pull_request.draft == false) }} | |
| uses: ./.github/workflows/_linux_ut.yml | |
| with: | |
| ut: op_regression,op_regression_dev1,op_extended,op_ut | |
| runner: linux.idc.xpu | |
| preci-ut-abi-0: | |
| # Don't run on forked repos and draft PRs | |
| if: ${{ (github.repository_owner == 'intel') && (github.event.pull_request.draft == false) }} | |
| uses: ./.github/workflows/_linux_ut.yml | |
| with: | |
| abi: 0 | |
| ut: op_extended | |
| runner: linux.idc.xpu | |
| Inductor-XPU-E2E-CI-Tests: | |
| runs-on: pvc_e2e | |
| # Don't run on forked repos and draft PRs | |
| if: ${{ (github.repository_owner == 'intel') && (github.event.pull_request.draft == false) }} | |
| timeout-minutes: 900 | |
| steps: | |
| - name: Checkout torch-xpu-ops | |
| uses: actions/checkout@v4 | |
| - name: Prepare Conda ENV | |
| run: | | |
| which conda && conda clean -ay | |
| conda remove --all -y -n e2e_ci || rm -rf $(dirname ${CONDA_EXE})/../envs/e2e_ci | |
| conda create -n e2e_ci python=3.10 cmake ninja -y | |
| source activate e2e_ci | |
| pip install mkl-static mkl-include | |
| pip install pandas scipy tqdm | |
| - name: Prepare Stock Pytorch | |
| run: | | |
| pwd | |
| cd ../ && rm -rf pytorch | |
| source activate e2e_ci | |
| git clone -b main https://github.com/pytorch/pytorch pytorch | |
| cd pytorch | |
| # apply PRs for stock pytorch | |
| pip install requests | |
| # https://github.com/mengfei25/pytorch/pull/18 internal use only for subset model list | |
| python ../torch-xpu-ops/.github/scripts/apply_torch_pr.py -e https://github.com/mengfei25/pytorch/pull/18 | |
| git status && git show -s | |
| git submodule sync && git submodule update --init --recursive | |
| rm -rf third_party/torch-xpu-ops && cp -r ../torch-xpu-ops third_party/ | |
| # Workaround for torch-xpu-ops ci test | |
| sed -i "s/checkout --quiet \${TORCH_XPU_OPS_COMMIT}/log -n 1/g" caffe2/CMakeLists.txt | |
| - name: Triton Installation | |
| run: | | |
| source activate e2e_ci | |
| cd ../pytorch | |
| TRITON_REPO="https://github.com/intel/intel-xpu-backend-for-triton" | |
| TRITON_PINNED_COMMIT=$(cat .ci/docker/ci_commit_pins/triton-xpu.txt) | |
| echo ${TRITON_REPO}@${TRITON_PINNED_COMMIT} | |
| pip install --force-reinstall "git+${TRITON_REPO}@${TRITON_PINNED_COMMIT}#subdirectory=python" | |
| - name: Build Pytorch XPU | |
| run: | | |
| source activate e2e_ci | |
| source .github/scripts/env.sh | |
| cd ../pytorch | |
| pip install -r requirements.txt | |
| export CMAKE_PREFIX_PATH=${CMAKE_PREFIX_PATH}:${CONDA_PREFIX:-"$(dirname $(which conda))/../"} | |
| python setup.py bdist_wheel | |
| pip install --force-reinstall dist/*.whl | |
| - name: Identify pinned versions | |
| run: | | |
| cd ../pytorch | |
| echo "TRITON_COMMIT_ID=$(<.ci/docker/ci_commit_pins/triton-xpu.txt)" >> "${GITHUB_ENV}" | |
| echo "TORCHVISION_COMMIT_ID=$(<.github/ci_commit_pins/vision.txt)" >> "${GITHUB_ENV}" | |
| echo "TORCHBENCH_COMMIT_ID=$(<third_party/torch-xpu-ops/.github/ci_commit_pins/torchbench.txt)" >> "${GITHUB_ENV}" | |
| echo "TORCHAUDIO_COMMIT_ID=$(<.github/ci_commit_pins/audio.txt)" >> "${GITHUB_ENV}" | |
| echo "TRANSFORMERS_VERSION=$(<.ci/docker/ci_commit_pins/huggingface.txt)" >> "${GITHUB_ENV}" | |
| echo "TIMM_COMMIT_ID=$(<.ci/docker/ci_commit_pins/timm.txt)" >> "${GITHUB_ENV}" | |
| - name: Torch Config | |
| run: | | |
| echo "$GITHUB_ENV" | |
| rm -rf ../pytorch/inductor_log | |
| rm -rf /tmp/torchinductor_* | |
| cd .. | |
| source activate e2e_ci | |
| python -c "import triton; print(triton.__version__)" | |
| python pytorch/torch/utils/collect_env.py | |
| - name: Huggingface BF16 Training Accuracy Test | |
| uses: ./.github/actions/inductor-xpu-e2e-test | |
| with: | |
| suite: huggingface | |
| dt: bfloat16 | |
| mode: training | |
| scenario: accuracy | |
| env_prepare: true | |
| hf_token: ${{ secrets.HUGGING_FACE_HUB_TOKEN }} | |
| - name: Huggingface FP16 Training Accuracy Test | |
| uses: ./.github/actions/inductor-xpu-e2e-test | |
| with: | |
| suite: huggingface | |
| dt: float16 | |
| mode: training | |
| scenario: accuracy | |
| hf_token: ${{ secrets.HUGGING_FACE_HUB_TOKEN }} | |
| - name: Timm_models BF16 Training Accuracy Test | |
| uses: ./.github/actions/inductor-xpu-e2e-test | |
| with: | |
| suite: timm_models | |
| dt: bfloat16 | |
| mode: training | |
| scenario: accuracy | |
| env_prepare: true | |
| hf_token: ${{ secrets.HUGGING_FACE_HUB_TOKEN }} | |
| - name: Torchbench BF16 Training Accuracy Test | |
| uses: ./.github/actions/inductor-xpu-e2e-test | |
| with: | |
| suite: torchbench | |
| dt: bfloat16 | |
| mode: training | |
| scenario: accuracy | |
| env_prepare: true | |
| hf_token: ${{ secrets.HUGGING_FACE_HUB_TOKEN }} | |
| - name: Summarize archieve files | |
| if: ${{ ! cancelled() }} | |
| run: | | |
| rm -rf ${{ github.workspace }}/upload_files | |
| cp -r ${{ github.workspace }}/../pytorch/inductor_log ${{ github.workspace }}/upload_files | |
| failed_case=$(grep "Real failed: models: *[1-9]" ${{ github.workspace }}/upload_files/summary_accuracy.log |wc -l || true) | |
| if [ ${failed_case} -ne 0 ];then | |
| grep -E "Real failed: models: [1-9]|Summary for" ${{ github.workspace }}/summary_accuracy.log | |
| exit 1 | |
| fi | |
| - name: Upload Inductor XPU E2E Data | |
| if: ${{ ! cancelled() }} | |
| uses: actions/upload-artifact@v4 | |
| with: | |
| name: Inductor-XPU-E2E-Data-${{ github.event.pull_request.number || github.sha }} | |
| path: ${{ github.workspace }}/upload_files |