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Move CIs to use docker builds #1316

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merged 3 commits into from
Sep 3, 2022
Merged

Move CIs to use docker builds #1316

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6f85281
Move CIs to use docker builds
powderluv Aug 30, 2022
07e8706
update names
powderluv Sep 1, 2022
a2b11b0
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powderluv Sep 2, 2022
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117 changes: 6 additions & 111 deletions .github/workflows/buildAndTest.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -17,8 +17,8 @@ concurrency:


# Provisioned Jobs:
# ubuntu - x86_64 - llvm in-tree - pytorch binary - build+test # most used dev flow and fastest signal
# ubuntu - x86_64 - llvm out-of-tree - pytorch source - build+test # most elaborate build
# ubuntu/docker - x86_64 - llvm in-tree - pytorch binary - build+test # most used dev flow and fastest signal
# ubuntu/docker - x86_64 - llvm out-of-tree - pytorch source - build+test # most elaborate build
# macos - arm64 - llvm in-tree - pytorch binary - build only # cross compile, can't test arm64
jobs:
build-test:
Expand Down Expand Up @@ -57,60 +57,11 @@ jobs:
with:
cache-suffix: ${{ matrix.os-arch }}-${{ matrix.llvm-build }}-${{ matrix.torch-binary }}

- name: Configure os-arch='ubuntu-x86_64' llvm-build='in-tree' torch-binary='${{ matrix.torch-binary }}'
# Fastest build, most used dev flow
if: ${{ matrix.os-arch == 'ubuntu-x86_64' && matrix.llvm-build == 'in-tree' }}
run: |
cmake -GNinja -Bbuild \
-DCMAKE_BUILD_TYPE=Release \
-DCMAKE_C_COMPILER=clang \
-DCMAKE_CXX_COMPILER=clang++ \
-DCMAKE_C_COMPILER_LAUNCHER=ccache \
-DCMAKE_CXX_COMPILER_LAUNCHER=ccache \
-DCMAKE_LINKER=lld \
-DLLVM_ENABLE_ASSERTIONS=ON \
-DLLVM_ENABLE_PROJECTS=mlir \
-DLLVM_EXTERNAL_PROJECTS="torch-mlir;torch-mlir-dialects" \
-DLLVM_EXTERNAL_TORCH_MLIR_SOURCE_DIR="$GITHUB_WORKSPACE" \
-DLLVM_EXTERNAL_TORCH_MLIR_DIALECTS_SOURCE_DIR="${GITHUB_WORKSPACE}/externals/llvm-external-projects/torch-mlir-dialects" \
-DLLVM_TARGETS_TO_BUILD=host \
-DMLIR_ENABLE_BINDINGS_PYTHON=ON \
-DTORCH_MLIR_USE_INSTALLED_PYTORCH="${{ matrix.torch-binary }}" \
-DPython3_EXECUTABLE="$(which python)" \
$GITHUB_WORKSPACE/externals/llvm-project/llvm

- name: Configure os-arch='ubuntu-x86_64' llvm-build='out-of-tree' torch-binary='${{ matrix.torch-binary }}'
# Most elaborate build, but cached
if: ${{ matrix.os-arch == 'ubuntu-x86_64' && matrix.llvm-build == 'out-of-tree' }}
- name: Build and Test os-arch='ubuntu-x86_64' llvm-build='${{ matrix.llvm-build }}' torch-binary='${{ matrix.torch-binary }}'
if: ${{ matrix.os-arch == 'ubuntu-x86_64' }}
run: |
cmake -GNinja -Bllvm-build \
-DCMAKE_BUILD_TYPE=Release \
-DCMAKE_C_COMPILER=clang \
-DCMAKE_CXX_COMPILER=clang++ \
-DCMAKE_C_COMPILER_LAUNCHER=ccache \
-DCMAKE_CXX_COMPILER_LAUNCHER=ccache \
-DCMAKE_LINKER=lld \
-DLLVM_ENABLE_ASSERTIONS=ON \
-DLLVM_ENABLE_PROJECTS=mlir \
-DLLVM_TARGETS_TO_BUILD=host \
-DMLIR_ENABLE_BINDINGS_PYTHON=ON \
-DPython3_EXECUTABLE="$(which python)" \
$GITHUB_WORKSPACE/externals/llvm-project/llvm
cmake --build llvm-build

cmake -GNinja -Bbuild \
-DCMAKE_C_COMPILER=clang \
-DCMAKE_CXX_COMPILER=clang++ \
-DCMAKE_C_COMPILER_LAUNCHER=ccache \
-DCMAKE_CXX_COMPILER_LAUNCHER=ccache \
-DCMAKE_LINKER=lld \
-DLLVM_DIR="$GITHUB_WORKSPACE/llvm-build/lib/cmake/llvm/" \
-DMLIR_DIR="$GITHUB_WORKSPACE/llvm-build/lib/cmake/mlir/" \
-DMLIR_ENABLE_BINDINGS_PYTHON=OFF \
-DTORCH_MLIR_USE_INSTALLED_PYTORCH="${{ matrix.torch-binary }}" \
-DPython3_EXECUTABLE="$(which python)" \
$GITHUB_WORKSPACE

cd $GITHUB_WORKSPACE
TM_PACKAGES="${{ matrix.llvm-build }}" TM_USE_PYTORCH_BINARY="${{ matrix.torch-binary }}" ./build_tools/python_deploy/build_linux_packages.sh
- name: Configure os-arch='macos-arm64' llvm-build='in-tree' torch-binary='${{ matrix.torch-binary }}'
# cross compile, can't test arm64
if: ${{ matrix.os-arch == 'macos-arm64' && matrix.llvm-build == 'in-tree' }}
Expand Down Expand Up @@ -139,63 +90,7 @@ jobs:
-DMACOSX_DEPLOYMENT_TARGET=12.0 \
-DPython3_EXECUTABLE="$(which python)" \
$GITHUB_WORKSPACE/externals/llvm-project/llvm

- name: Build torch-mlir
if: ${{ matrix.os-arch == 'ubuntu-x86_64' }}
run: |
cmake --build build

- name: Build torch-mlir (cross-compile)
if: ${{ matrix.os-arch == 'macos-arm64' }}
run: |
cmake --build build_arm64

- name: Run torch-mlir unit tests
if: ${{ matrix.os-arch == 'ubuntu-x86_64' }}
run: |
cmake --build build --target check-torch-mlir-all

- name: Ensure generated files are up to date
if: ${{ matrix.os-arch == 'ubuntu-x86_64' && matrix.llvm-build == 'in-tree' }}
run: |
./build_tools/update_torch_ods.sh
./build_tools/update_shape_lib.sh
if ! git diff --quiet; then
echo "#######################################################"
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echo "Generated files are not up to date (see diff below)"
echo ">>> Please run ./build_tools/update_torch_ods.sh and ./build_tools/update_shape_lib.sh <<<"
echo "#######################################################"
git diff --color=always
exit 1
fi

- name: Run refbackend e2e integration tests
if: ${{ matrix.os-arch == 'ubuntu-x86_64' && matrix.llvm-build == 'in-tree' }}
run: |
export PYTHONPATH="$GITHUB_WORKSPACE/build/tools/torch-mlir/python_packages/torch_mlir"
python -m e2e_testing.main --config=refbackend -v

- name: Run eager_mode e2e integration tests
if: ${{ matrix.os-arch == 'ubuntu-x86_64' && matrix.llvm-build == 'in-tree' }}
run: |
export PYTHONPATH="$GITHUB_WORKSPACE/build/tools/torch-mlir/python_packages/torch_mlir"
python -m e2e_testing.main --config=eager_mode -v

- name: Run mhlo e2e integration tests
if: ${{ matrix.os-arch == 'ubuntu-x86_64' && matrix.llvm-build == 'in-tree' }}
run: |
export PYTHONPATH="$GITHUB_WORKSPACE/build/tools/torch-mlir/python_packages/torch_mlir"
python -m e2e_testing.main --config=mhlo -v

- name: Run tosa e2e integration tests
if: ${{ matrix.os-arch == 'ubuntu-x86_64' && matrix.llvm-build == 'in-tree' }}
run: |
export PYTHONPATH="$GITHUB_WORKSPACE/build/tools/torch-mlir/python_packages/torch_mlir"
python -m e2e_testing.main --config=tosa -v

- name: Run lazy_tensor_core e2e integration tests
if: ${{ matrix.os-arch == 'ubuntu-x86_64' && matrix.llvm-build == 'in-tree' }}
run: |
export PYTHONPATH="$GITHUB_WORKSPACE/build/tools/torch-mlir/python_packages/torch_mlir"
echo "LTC tests disabled temporarily. https://github.com/llvm/torch-mlir/pull/1292"
# python -m e2e_testing.main --config=lazy_tensor_core -v