Upstreaming MLPerf punet changes, server/harness support. #1206
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| name: Test Turbine Models | |
| on: | |
| workflow_dispatch: | |
| pull_request: | |
| push: | |
| branches: | |
| - main | |
| concurrency: | |
| # A PR number if a pull request and otherwise the commit hash. This cancels | |
| # queued and in-progress runs for the same PR (presubmit) or commit | |
| # (postsubmit). The workflow name is prepended to avoid conflicts between | |
| # different workflows. | |
| group: ${{ github.workflow }}-${{ github.event.number || github.sha }} | |
| cancel-in-progress: true | |
| jobs: | |
| test-turbine-models: | |
| strategy: | |
| matrix: | |
| version: [3.11] | |
| os: [nodai-amdgpu-mi250-x86-64] | |
| runs-on: ${{matrix.os}} | |
| env: | |
| E2E_VENV_DIR: ${{ github.workspace }}/test-suite_venv | |
| HF_TOKEN: ${{ secrets.HF_TOKEN }} | |
| AZ_PRIVATE_CONNECTION: ${{ secrets.ONNXPRIVATESTORAGE_AZ_PRIVATE_CONNECTION }} | |
| ROCR_VISIBLE_DEVICES: ${{ matrix.visible-device }} | |
| TORCH_HOME: /groups/aig_sharks/test-suite-ci-cache | |
| HF_HOME: /groups/aig_sharks/test-suite-ci-cache | |
| TURBINE_TANK_CACHE_DIR: /groups/aig_sharks/test-suite-ci-cache | |
| steps: | |
| # We are using a persistent Gentoo runner here, and this python action is not supported for the arch | |
| # - name: "Setting up Python" | |
| # uses: actions/setup-python@75f3110429a8c05be0e1bf360334e4cced2b63fa # v2.3.3 | |
| # with: | |
| # python-version: ${{matrix.version}} | |
| - name: "Checkout This Repo" | |
| uses: actions/checkout@v4 | |
| - name: "Checkout iree-turbine" | |
| uses: actions/checkout@v4 | |
| with: | |
| repository: iree-org/iree-turbine | |
| # TODO: Let the ref be passed as a parameter to run integration tests. | |
| path: iree-turbine | |
| - name: Sync source deps | |
| # build IREE from source with -DIREE_BUILD_TRACY=ON if getting tracy profile | |
| run: | | |
| python3.11 -m venv turbine_venv | |
| source turbine_venv/bin/activate | |
| python3.11 -m pip install --upgrade pip | |
| # Note: We install in three steps in order to satisfy requirements | |
| # from non default locations first. Installing the PyTorch CPU | |
| # wheels saves multiple minutes and a lot of bandwidth on runner setup. | |
| pip install --pre torch==2.4.1+cpu torchvision --index-url https://download.pytorch.org/whl/cpu | |
| pip install --pre --upgrade -r ${{ github.workspace }}/iree-turbine/requirements.txt | |
| pip install --no-compile --pre -e ${{ github.workspace }}/iree-turbine[testing] | |
| pip install --upgrade --pre --no-cache-dir iree-compiler iree-runtime -f https://iree.dev/pip-release-links.html | |
| pip install --no-compile --pre --upgrade -e models -r models/requirements.txt | |
| - name: Show current free memory | |
| run: | | |
| free -mh | |
| - name: Run stateless_llama tests | |
| run: | | |
| source turbine_venv/bin/activate | |
| pytest -v models/turbine_models/tests/stateless_llama_test.py | |
| - name: Run sd tests | |
| run: | | |
| source turbine_venv/bin/activate | |
| pytest -v models/turbine_models/tests/sd_test.py | |
| pytest -v models/turbine_models/tests/sdxl_test.py --device cpu --rt_device local-task --iree_target_triple x86_64-linux-gnu --num_inference_steps 2 -x | |
| pytest -v models/turbine_models/tests/sdxl_test.py --device rocm --rt_device hip --iree_target_triple gfx90a --precision fp16 --attn_spec default -x | |
| pytest -v models/turbine_models/tests/sdxl_test.py --device rocm --rt_device hip --iree_target_triple gfx90a --precision fp16 --clip_spec None --unet_spec None --vae_spec None --batch_size 2 -x | |
| pytest -v models/turbine_models/tests/sd3_test.py --device cpu --rt_device local-task --iree_target_triple x86_64-linux-gnu --num_inference_steps 2 -x | |