Augment IRON API #6897
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| name: Build and Test with AIE tools on Ryzen AI | |
| on: | |
| push: | |
| branches: | |
| - main | |
| - test-ryzen-ai | |
| pull_request: | |
| merge_group: | |
| # Allows you to run this workflow manually from the Actions tab by | |
| # selecting CI and then "Run workflow" menu on the right branch | |
| # and clicking on "launch_tmate_terminal_for_debug". | |
| # Unfortunately this works only for the default branch. | |
| # So you can either | |
| # - change the default branch of the PR on the GitHub repository owning the PR | |
| # and launching in Actions tab; | |
| # - or edit directly the step below which runs tmate and push to the | |
| # PR, ignoring the manual workflow launch. | |
| workflow_dispatch: | |
| launch_tmate_terminal_for_debug: | |
| type: boolean | |
| description: 'Run the build with tmate debugging enabled (https://github.com/marketplace/actions/debugging-with-tmate)' | |
| required: false | |
| default: false | |
| defaults: | |
| run: | |
| shell: bash | |
| 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). | |
| group: ci-build-test-ryzenai-${{ github.event.number || github.sha }}-${{ github.event_name }} | |
| cancel-in-progress: true | |
| env: | |
| DEBIAN_FRONTEND: noninteractive | |
| XILINXD_LICENSE_FILE: /opt/xilinx/Xilinx.lic | |
| VITIS: /opt/ryzen_ai-1.3.0/vitis_aie_essentials | |
| CMAKE_ARGS: | | |
| -DCMAKE_CXX_COMPILER_LAUNCHER=ccache \ | |
| -DCMAKE_C_COMPILER_LAUNCHER=ccache \ | |
| -DCMAKE_EXE_LINKER_FLAGS_INIT="-fuse-ld=lld" \ | |
| -DCMAKE_MODULE_LINKER_FLAGS_INIT="-fuse-ld=lld" \ | |
| -DCMAKE_SHARED_LINKER_FLAGS_INIT="-fuse-ld=lld" \ | |
| -DXRT_ROOT=/opt/xilinx/xrt \ | |
| -DAIE_VITIS_COMPONENTS=AIE2;AIE2P \ | |
| -DAIE_ENABLE_PYTHON_PASSES=OFF \ | |
| -DAIE_ENABLE_XRT_PYTHON_BINDINGS=ON \ | |
| -DAIE_INCLUDE_INTEGRATION_TESTS=OFF | |
| LIT_OPTS: -sv --time-tests --timeout 600 --show-unsupported --show-excluded | |
| jobs: | |
| build-tests: | |
| name: Run Tests on Ryzen AI | |
| runs-on: ${{ matrix.runner_type }} | |
| strategy: | |
| fail-fast: false | |
| matrix: | |
| runner_type: [ amd7940hs, amdhx370 ] | |
| steps: | |
| - uses: actions/checkout@v4 | |
| with: | |
| submodules: "true" | |
| # Launch an ssh session via a proxy server if there is a need | |
| # for debug. This seems to live for 35 min max | |
| # https://github.com/mxschmitt/action-tmate | |
| - name: Setup tmate session | |
| uses: mxschmitt/action-tmate@v3 | |
| # To run this, launch it manually on the default branch and | |
| # click on "launch_tmate_terminal_for_debug" | |
| if: github.event_name == 'workflow_dispatch' | |
| && inputs.launch_tmate_terminal_for_debug | |
| - name: Run commands | |
| run: | | |
| pip cache purge | |
| source /opt/xilinx/xrt/setup.sh | |
| python -m venv aie-venv | |
| source aie-venv/bin/activate | |
| pip install -r python/requirements.txt | |
| HOST_MLIR_PYTHON_PACKAGE_PREFIX=aie pip install -r python/requirements_extras.txt | |
| pip install -r python/requirements_ml.txt | |
| pip install jupyter | |
| sed -i.bak 's/OUTPUT_TIMEOUT = 10/OUTPUT_TIMEOUT = 100/g' \ | |
| $(python -c 'import site; print(site.getsitepackages()[0])')/jupyter_client/runapp.py | |
| VERSION=$(utils/clone-llvm.sh --get-wheel-version) | |
| pip -q download mlir==$VERSION \ | |
| -f https://github.com/Xilinx/mlir-aie/releases/expanded_assets/mlir-distro | |
| unzip -q mlir-*.whl | |
| # I have no clue why but the system clock on GHA containers is like 12 hours ahead. | |
| # That means wheels have file with time stamps in the future which makes ninja loop | |
| # forever when configuring. Set the time to some arbitrary stamp in the past just to be safe. | |
| find mlir -exec touch -a -m -t 201108231405.14 {} \; | |
| mkdir build | |
| pushd build | |
| # -j here to reduce the number of parallel chess jobs. | |
| # -j6 for 32GB RAM, -j12 for 64GB RAM | |
| if [ x"${{ matrix.runner_type }}" == x"amdhx370" ]; then | |
| LIT_OPTS="-j6 $LIT_OPTS" | |
| else | |
| LIT_OPTS="-j12 $LIT_OPTS" | |
| fi | |
| export PATH=$VITIS/bin:$VITIS/aietools/bin:$PATH | |
| cmake .. -G Ninja \ | |
| -DPython3_EXECUTABLE=$(which python) \ | |
| -DLLVM_EXTERNAL_LIT=$(which lit) \ | |
| -DCMAKE_INSTALL_PREFIX=$PWD/../mlir_aie \ | |
| -DCMAKE_MODULE_PATH=$PWD/../cmake/modulesXilinx \ | |
| -DMLIR_DIR=$PWD/../mlir/lib/cmake/mlir \ | |
| $CMAKE_ARGS | |
| ninja install | |
| ninja check-aie | |
| popd | |
| build-quick-setup: | |
| name: Run Examples on Ryzen AI | |
| runs-on: ${{ matrix.runner_type }} | |
| strategy: | |
| fail-fast: false | |
| matrix: | |
| runner_type: [ amd7940hs ] | |
| steps: | |
| - uses: actions/checkout@v4 | |
| with: | |
| submodules: "true" | |
| # Launch an ssh session via a proxy server if there is a need | |
| # for debug. This seems to live for 35 min max | |
| # https://github.com/mxschmitt/action-tmate | |
| - name: Setup tmate session | |
| uses: mxschmitt/action-tmate@v3 | |
| # To run this, launch it manually on the default branch and | |
| # click on "launch_tmate_terminal_for_debug" | |
| if: github.event_name == 'workflow_dispatch' | |
| && inputs.launch_tmate_terminal_for_debug | |
| - name: Run commands | |
| run: | | |
| pip cache purge | |
| source /opt/xilinx/xrt/setup.sh | |
| export PATH=$VITIS/bin:$VITIS/aietools/bin:$PATH | |
| source utils/quick_setup.sh | |
| # quick_setup changes directory to programming_examples, so we need to return to mlir-aie | |
| cd .. | |
| # I have no clue why but the system clock on GHA containers is like 12 hours ahead. | |
| # That means wheels have file with time stamps in the future which makes ninja loop | |
| # forever when configuring. Set the time to some arbitrary stamp in the past just to be safe. | |
| find my_install/mlir -exec touch -a -m -t 201108231405.14 {} \; | |
| ./utils/build-mlir-aie-from-wheels.sh ./my_install/mlir build install ./my_install/llvm-aie | |
| # build is created by the build-mlir-aie-from-wheels.sh script | |
| pushd build | |
| # -j here to reduce the number of parallel chess jobs. | |
| # -j6 for 32GB RAM, -j12 for 64GB RAM | |
| if [ x"${{ matrix.runner_type }}" == x"amdhx370" ]; then | |
| LIT_OPTS="-j6 $LIT_OPTS" | |
| else | |
| LIT_OPTS="-j12 $LIT_OPTS" | |
| fi | |
| ninja install | |
| ninja check-reference-designs | |
| ninja check-programming-guide | |
| popd |