E2E performance #107
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| name: E2E performance | |
| on: | |
| workflow_dispatch: | |
| inputs: | |
| install_ipex: | |
| description: Install Intel PyTorch Extension | |
| type: boolean | |
| default: true | |
| suite: | |
| description: Test suite | |
| type: choice | |
| options: | |
| - all | |
| - huggingface | |
| - timm_models | |
| - torchbench | |
| default: all | |
| mode: | |
| description: Inference/Training | |
| type: choice | |
| options: | |
| - all | |
| - inference | |
| - training | |
| default: all | |
| dtype: | |
| description: Data type | |
| type: choice | |
| options: | |
| - all | |
| - amp_bf16 | |
| - amp_fp16 | |
| - bfloat16 | |
| - float16 | |
| - float32 | |
| default: all | |
| models: | |
| description: Run all models or a subset | |
| type: choice | |
| options: | |
| - all | |
| - subset | |
| default: subset | |
| only_one_model: | |
| description: Run only this one model | |
| type: string | |
| default: "" | |
| runner_label: | |
| description: Runner label, keep empty for default | |
| type: string | |
| default: "" | |
| TORCH_COMPILE_DEBUG: | |
| description: TORCH_COMPILE_DEBUG | |
| type: string | |
| default: "" | |
| permissions: read-all | |
| env: | |
| TRITON_DISABLE_LINE_INFO: 1 | |
| USE_AOT_DEVLIST: pvc | |
| PYTHON_VERSION: "3.10" | |
| BENCHMARK_REPO: weishi-deng/benchmark.git | |
| BENCHMARK_BRANCH: main | |
| INSTALL_IPEX: ${{ inputs.install_ipex }} | |
| TORCH_XPU_OPS_COMMIT: 39522db63ce045f52c9d61a286018c266cd00479 | |
| jobs: | |
| setup: | |
| name: Setup | |
| runs-on: | |
| - glados | |
| - spr | |
| - cpu | |
| outputs: | |
| suite: ${{ steps.set-matrix.outputs.suite }} | |
| mode: ${{ steps.set-matrix.outputs.mode }} | |
| dtype: ${{ steps.set-matrix.outputs.dtype }} | |
| models: ${{ steps.set-matrix.outputs.models }} | |
| timeout-minutes: 10 | |
| steps: | |
| - name: Set matrix | |
| id: set-matrix | |
| run: | | |
| if [[ -z "${{ inputs.suite }}" || "${{ inputs.suite }}" == "all" ]]; then | |
| suite='["huggingface", "timm_models", "torchbench"]' | |
| else | |
| suite='["${{ inputs.suite }}"]' | |
| fi | |
| if [[ -z "${{ inputs.mode }}" || "${{ inputs.mode }}" == "all" ]]; then | |
| mode='["inference", "training"]' | |
| else | |
| mode='["${{ inputs.mode }}"]' | |
| fi | |
| if [[ -z "${{ inputs.dtype }}" || "${{ inputs.dtype }}" == "all" ]]; then | |
| dtype='["amp_bf16", "amp_fp16", "bfloat16", "float16", "float32"]' | |
| else | |
| dtype='["${{ inputs.dtype }}"]' | |
| fi | |
| if [[ -z "${{ inputs.models }}" ]]; then | |
| models="subset" | |
| else | |
| models="${{ inputs.models }}" | |
| fi | |
| echo "suite=$suite" >> $GITHUB_OUTPUT | |
| echo "mode=$mode" >> $GITHUB_OUTPUT | |
| echo "dtype=$dtype" >> $GITHUB_OUTPUT | |
| echo "models=$models" >> $GITHUB_OUTPUT | |
| print_inputs: | |
| name: Print inputs | |
| needs: setup | |
| runs-on: Linux | |
| steps: | |
| - name: Print inputs | |
| run: | | |
| echo "${{ toJSON(github.event.inputs) }}" | |
| - name: Print setup outputs | |
| run: | | |
| echo "${{ toJSON(needs.setup.outputs) }}" | |
| build: | |
| name: Test | |
| needs: setup | |
| runs-on: | |
| - ${{ inputs.runner_label || 'max1550' }} | |
| strategy: | |
| matrix: | |
| suite: ${{ fromJson(needs.setup.outputs.suite) }} | |
| mode: ${{ fromJson(needs.setup.outputs.mode) }} | |
| dtype: ${{ fromJson(needs.setup.outputs.dtype) }} | |
| fail-fast: false | |
| timeout-minutes: 720 | |
| defaults: | |
| run: | |
| shell: bash -noprofile --norc -eo pipefail -c "source /home/runner/intel/oneapi/setvars.sh > /dev/null; source {0}" | |
| steps: | |
| - name: Checkout repository | |
| uses: actions/checkout@v4 | |
| - name: Get LLVM commit id | |
| run: | | |
| LLVM_COMMIT_ID=$(<cmake/llvm-hash.txt) | |
| echo "LLVM_COMMIT_ID=$LLVM_COMMIT_ID" >> $GITHUB_ENV | |
| - name: Get benchmark commit id | |
| uses: ./.github/actions/get-commit-id | |
| with: | |
| repository: ${{ env.BENCHMARK_REPO }} | |
| branch: ${{ env.BENCHMARK_BRANCH }} | |
| variable: BENCHMARK_COMMIT_ID | |
| - name: Load pip cache | |
| id: pip-cache | |
| uses: ./.github/actions/load | |
| with: | |
| path: $HOME/.cache/pip | |
| # pip cache per commit id just to minimize network traffic | |
| key: pip-$PYTHON_VERSION-$GITHUB_SHA | |
| - name: Install Python | |
| uses: actions/setup-python@v5 | |
| with: | |
| python-version: ${{ env.PYTHON_VERSION }} | |
| - name: Install Python build dependencies | |
| run: | | |
| pip install wheel | |
| - name: Setup PyTorch | |
| if: ${{ env.INSTALL_IPEX == 'true' }} | |
| uses: ./.github/actions/setup-pytorch | |
| - name: Setup PyTorch without IPEX | |
| if: ${{ env.INSTALL_IPEX == 'false' }} | |
| uses: ./.github/actions/setup-pytorch | |
| with: | |
| repository: pytorch/pytorch | |
| torch_xpu_ops_commit: ${{ env.TORCH_XPU_OPS_COMMIT }} | |
| - name: Install latest nightly wheels including IPEX | |
| if: ${{ env.INSTALL_IPEX == 'true' }} | |
| uses: ./.github/actions/install-wheels | |
| with: | |
| gh_token: ${{ secrets.GITHUB_TOKEN }} | |
| python_version: ${{ env.PYTHON_VERSION }} | |
| - name: Install latest nightly wheels excluding IPEX | |
| if: ${{ env.INSTALL_IPEX == 'false' }} | |
| uses: ./.github/actions/install-wheels | |
| with: | |
| gh_token: ${{ secrets.GITHUB_TOKEN }} | |
| python_version: ${{ env.PYTHON_VERSION }} | |
| wheels_pattern: "!(intel_extension_for_pytorch-*|torch-*).whl" | |
| - name: Setup fake IPEX | |
| if: ${{ env.INSTALL_IPEX == 'false' }} | |
| uses: ./.github/actions/setup-fake-ipex | |
| - name: Identify pinned versions | |
| run: | | |
| cd pytorch | |
| echo "TRANSFORMERS_VERSION=$(<.ci/docker/ci_commit_pins/huggingface.txt)" >> "${GITHUB_ENV}" | |
| echo "TIMM_COMMIT_ID=$(<.ci/docker/ci_commit_pins/timm.txt)" >> "${GITHUB_ENV}" | |
| # TIMM depends on torch and torchvision, so, in general, it needs to be installed before | |
| # installing custom torch and torchvision, but instead we install its dependencies except | |
| # torch and torchvision. | |
| - name: Install TIMM Models | |
| if: ${{ matrix.suite == 'timm_models' }} | |
| run: | | |
| # install timm without dependencies | |
| pip install --no-deps git+https://github.com/huggingface/pytorch-image-models@$TIMM_COMMIT_ID | |
| # install timm dependencies without torch and torchvision | |
| pip install $(curl -sSL https://raw.githubusercontent.com/huggingface/pytorch-image-models/$TIMM_COMMIT_ID/requirements.txt | grep -vE torch) | |
| - name: Generate Triton cache key | |
| id: triton-key | |
| run: | | |
| COMPOSITE_KEY=$(echo $PYTHON_VERSION $LLVM_COMMIT_ID $GITHUB_SHA | sha256sum - | cut -d\ -f1) | |
| echo "key=triton-$COMPOSITE_KEY" >> $GITHUB_OUTPUT | |
| - name: Load Triton wheels from a cache | |
| id: triton-cache | |
| uses: ./.github/actions/load | |
| with: | |
| path: python/dist | |
| key: ${{ steps.triton-key.outputs.key }} | |
| - name: Build Triton wheels | |
| if: ${{ steps.triton-cache.outputs.status == 'miss' }} | |
| run: | | |
| export DEBUG=1 | |
| cd python | |
| python setup.py bdist_wheel | |
| - name: Install Triton | |
| run: | | |
| pip install python/dist/*.whl | |
| - name: Save Triton wheels to a cache | |
| if: ${{ steps.triton-cache.outputs.status == 'miss' }} | |
| uses: ./.github/actions/save | |
| with: | |
| path: ${{ steps.triton-cache.outputs.path }} | |
| dest: ${{ steps.triton-cache.outputs.dest }} | |
| - name: Install python test dependencies | |
| run: | | |
| pip install pyyaml pandas scipy numpy psutil pyre_extensions torchrec | |
| - name: Install transformers package | |
| if: ${{ matrix.suite == 'huggingface' }} | |
| uses: ./.github/actions/install-dependency | |
| with: | |
| package: transformers | |
| repository: huggingface/transformers | |
| ref: ${{ env.TRANSFORMERS_VERSION }} | |
| try-tag-prefix: v | |
| - name: Clone pytorch benchmark | |
| if: ${{ matrix.suite == 'torchbench' }} | |
| uses: actions/checkout@v4 | |
| with: | |
| repository: ${{ env.BENCHMARK_REPO }} | |
| ref: ${{ env.BENCHMARK_BRANCH }} | |
| submodules: recursive | |
| path: benchmark | |
| - name: Install pytorch benchmark | |
| if: ${{ matrix.suite == 'torchbench' }} | |
| run: | | |
| cd benchmark | |
| python install.py | |
| pip install -e . | |
| - name: Run e2e performance benchmarks | |
| env: | |
| HUGGING_FACE_HUB_TOKEN: ${{ secrets.HUGGING_FACE_HUB_TOKEN }} | |
| run: | | |
| export WORKSPACE=$GITHUB_WORKSPACE | |
| if [[ "${{ inputs.TORCH_COMPILE_DEBUG }}" == "1" ]] ; then | |
| export TORCH_COMPILE_DEBUG="1" | |
| # torch will save debug logs to $TORCH_COMPILE_DEBUG_DIR/torch_compile_debug | |
| export TORCH_COMPILE_DEBUG_DIR=$GITHUB_WORKSPACE | |
| fi | |
| cd pytorch | |
| # if "only_one_model" is set, then test this model | |
| # if "models" == "subset", then test the models from .github/models/performance/{suite}.txt | |
| # otherwise test all models | |
| if [[ "${{ inputs.only_one_model }}" ]]; then | |
| $GITHUB_WORKSPACE/scripts/inductor_xpu_test.sh ${{ matrix.suite }} ${{ matrix.dtype }} ${{ matrix.mode }} performance xpu 0 static 1 0 ${{ inputs.only_one_model }} | |
| elif [[ "${{ needs.setup.outputs.models }}" == "subset" ]]; then | |
| while read model; do | |
| $GITHUB_WORKSPACE/scripts/inductor_xpu_test.sh ${{ matrix.suite }} ${{ matrix.dtype }} ${{ matrix.mode }} performance xpu 0 static 1 0 $model | |
| done < $GITHUB_WORKSPACE/.github/models/performance/${{ matrix.suite }}.txt | |
| else | |
| $GITHUB_WORKSPACE/scripts/inductor_xpu_test.sh ${{ matrix.suite }} ${{ matrix.dtype }} ${{ matrix.mode }} performance xpu 0 static 1 0 | |
| fi | |
| - name: Report environment details | |
| run: | | |
| mkdir -p inductor_log | |
| TIMESTAMP=$(date '+%Y%m%d%H%M%S') | |
| echo "TIMESTAMP=$TIMESTAMP" >> "${GITHUB_ENV}" | |
| source ./scripts/capture-hw-details.sh --quiet | |
| cat <<EOF | tee inductor_log/.env | |
| TIMESTAMP=$TIMESTAMP | |
| JOB_NAME=${{ join(matrix.*, '-') }} | |
| GITHUB_RUN_ID=$GITHUB_RUN_ID | |
| GITHUB_RUN_NUMBER=$GITHUB_RUN_NUMBER | |
| GITHUB_RUN_ATTEMPT=$GITHUB_RUN_ATTEMPT | |
| PYTHON_VERSION=$PYTHON_VERSION | |
| PYTORCH_REPO=$PYTORCH_REPO | |
| PYTORCH_COMMIT_ID=$PYTORCH_COMMIT_ID | |
| IPEX_REPO=$IPEX_REPO | |
| IPEX_COMMIT_ID=$IPEX_COMMIT_ID | |
| LLVM_REPO=llvm/llvm-project | |
| LLVM_COMMIT_ID=$LLVM_COMMIT_ID | |
| BENCHMARK_REPO=$BENCHMARK_REPO | |
| BENCHMARK_COMMIT_ID=$BENCHMARK_COMMIT_ID | |
| TRITON_REPO=$GITHUB_REPOSITORY | |
| TRITON_COMMIT_ID=$GITHUB_SHA | |
| TORCHVISION_COMMIT_ID=$TORCHVISION_COMMIT_ID | |
| TORCHTEXT_COMMIT_ID=$TORCHTEXT_COMMIT_ID | |
| TORCHAUDIO_COMMIT_ID=$TORCHAUDIO_COMMIT_ID | |
| TRANSFORMERS_VERSION=$TRANSFORMERS_VERSION | |
| TIMM_COMMIT_ID=$TIMM_COMMIT_ID | |
| LIBIGC1_VERSION=$LIBIGC1_VERSION | |
| LEVEL_ZERO_VERSION=$LEVEL_ZERO_VERSION | |
| GPU_DEVICE=$GPU_DEVICE | |
| AGAMA_VERSION=$AGAMA_VERSION | |
| EOF | |
| - name: Copy reports | |
| run: | | |
| if [[ -d torch_compile_debug ]]; then | |
| cp -rT torch_compile_debug inductor_log | |
| fi | |
| - name: Upload test logs | |
| uses: actions/upload-artifact@v4 | |
| with: | |
| name: logs-${{ join(matrix.*, '-') }} | |
| path: inductor_log | |
| - name: Save pip cache | |
| if: ${{ steps.pip-cache.outputs.status == 'miss' }} | |
| uses: ./.github/actions/save | |
| with: | |
| path: ${{ steps.pip-cache.outputs.path }} | |
| dest: ${{ steps.pip-cache.outputs.dest }} |