Python interface for inference (part 2) #2363
Workflow file for this run
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| name: "build" | |
| on: | |
| pull_request: | |
| paths: | |
| - "include/**" | |
| - "inference/**" | |
| - "cmake/**" | |
| - "config/**" | |
| - "deps/**" | |
| - "python/**" | |
| - "src/**" | |
| - ".github/workflows/helpers/install_dependencies.sh" | |
| - ".github/workflows/build.yml" | |
| push: | |
| branches: | |
| - "master" | |
| paths: | |
| - "include/**" | |
| - "inference/**" | |
| - "cmake/**" | |
| - "config/**" | |
| - "deps/**" | |
| - "python/**" | |
| - "src/**" | |
| - ".github/workflows/helpers/install_dependencies.sh" | |
| - ".github/workflows/build.yml" | |
| workflow_dispatch: | |
| concurrency: | |
| group: build-${{ github.head_ref || github.run_id }} | |
| cancel-in-progress: true | |
| jobs: | |
| cmake-build: | |
| name: Build FlexFlow with CMake | |
| runs-on: ubuntu-20.04 | |
| defaults: | |
| run: | |
| shell: bash -l {0} # required to use an activated conda environment | |
| strategy: | |
| matrix: | |
| gpu_backend: ["cuda", "hip_rocm"] | |
| fail-fast: false | |
| steps: | |
| - name: Checkout Git Repository | |
| uses: actions/checkout@v3 | |
| with: | |
| submodules: recursive | |
| - name: Free additional space on runner | |
| run: .github/workflows/helpers/free_space_on_runner.sh | |
| - name: Install CUDA | |
| uses: Jimver/cuda-toolkit@v0.2.11 | |
| id: cuda-toolkit | |
| with: | |
| cuda: "11.8.0" | |
| # Disable caching of the CUDA binaries, since it does not give us any significant performance improvement | |
| use-github-cache: "false" | |
| - name: Install system dependencies | |
| run: FF_GPU_BACKEND=${{ matrix.gpu_backend }} .github/workflows/helpers/install_dependencies.sh | |
| - name: Install conda and FlexFlow dependencies | |
| uses: conda-incubator/setup-miniconda@v2 | |
| with: | |
| activate-environment: flexflow | |
| environment-file: conda/environment.yml | |
| auto-activate-base: false | |
| - name: Build FlexFlow | |
| run: | | |
| export CUDNN_DIR="$CUDA_PATH" | |
| export CUDA_DIR="$CUDA_PATH" | |
| export FF_HOME=$(pwd) | |
| export FF_GPU_BACKEND=${{ matrix.gpu_backend }} | |
| export FF_CUDA_ARCH=70 | |
| cores_available=$(nproc --all) | |
| n_build_cores=$(( cores_available -1 )) | |
| if (( $n_build_cores < 1 )) ; then n_build_cores=1 ; fi | |
| mkdir build | |
| cd build | |
| if [[ "${FF_GPU_BACKEND}" == "cuda" ]]; then | |
| export FF_BUILD_ALL_EXAMPLES=ON | |
| export FF_BUILD_ALL_INFERENCE_EXAMPLES=ON | |
| export FF_BUILD_UNIT_TESTS=ON | |
| else | |
| export FF_BUILD_ALL_EXAMPLES=OFF | |
| export FF_BUILD_ALL_INFERENCE_EXAMPLES=OFF | |
| export FF_BUILD_UNIT_TESTS=OFF | |
| fi | |
| ../config/config.linux | |
| make -j $n_build_cores | |
| - name: Install FlexFlow | |
| run: | | |
| export CUDNN_DIR="$CUDA_PATH" | |
| export CUDA_DIR="$CUDA_PATH" | |
| export FF_HOME=$(pwd) | |
| export FF_GPU_BACKEND=${{ matrix.gpu_backend }} | |
| export FF_CUDA_ARCH=70 | |
| cd build | |
| if [[ "${FF_GPU_BACKEND}" == "cuda" ]]; then | |
| export FF_BUILD_ALL_EXAMPLES=ON | |
| export FF_BUILD_ALL_INFERENCE_EXAMPLES=ON | |
| export FF_BUILD_UNIT_TESTS=ON | |
| else | |
| export FF_BUILD_ALL_EXAMPLES=OFF | |
| export FF_BUILD_ALL_INFERENCE_EXAMPLES=OFF | |
| export FF_BUILD_UNIT_TESTS=OFF | |
| fi | |
| ../config/config.linux | |
| sudo make install | |
| sudo ldconfig | |
| - name: Check availability of Python flexflow.core module | |
| if: ${{ matrix.gpu_backend == 'cuda' }} | |
| run: | | |
| export LD_LIBRARY_PATH="$CUDA_PATH/lib64/stubs:$LD_LIBRARY_PATH" | |
| sudo ln -s "$CUDA_PATH/lib64/stubs/libcuda.so" "$CUDA_PATH/lib64/stubs/libcuda.so.1" | |
| export CPU_ONLY_TEST=1 | |
| python -c "import flexflow.core; exit()" | |
| - name: Run C++ unit tests | |
| if: ${{ matrix.gpu_backend == 'cuda' }} | |
| run: | | |
| export CUDNN_DIR="$CUDA_PATH" | |
| export CUDA_DIR="$CUDA_PATH" | |
| export LD_LIBRARY_PATH="$CUDA_PATH/lib64/stubs:$LD_LIBRARY_PATH" | |
| export FF_HOME=$(pwd) | |
| cd build | |
| ./tests/unit/unit-test | |
| makefile-build: | |
| name: Build FlexFlow with the Makefile | |
| runs-on: ubuntu-20.04 | |
| defaults: | |
| run: | |
| shell: bash -l {0} # required to use an activated conda environment | |
| steps: | |
| - name: Checkout Git Repository | |
| uses: actions/checkout@v3 | |
| with: | |
| submodules: recursive | |
| - name: Free additional space on runner | |
| run: .github/workflows/helpers/free_space_on_runner.sh | |
| - name: Install CUDA | |
| uses: Jimver/cuda-toolkit@v0.2.11 | |
| id: cuda-toolkit | |
| with: | |
| cuda: "11.8.0" | |
| use-github-cache: "false" | |
| - name: Install system dependencies | |
| run: .github/workflows/helpers/install_dependencies.sh | |
| - name: Install conda and FlexFlow dependencies | |
| uses: conda-incubator/setup-miniconda@v2 | |
| with: | |
| activate-environment: flexflow | |
| environment-file: conda/environment.yml | |
| auto-activate-base: false | |
| - name: Build FlexFlow | |
| run: | | |
| export CUDNN_DIR="$CUDA_PATH" | |
| export CUDA_DIR="$CUDA_PATH" | |
| export LD_LIBRARY_PATH="$CUDA_PATH/lib64/stubs:$LD_LIBRARY_PATH" | |
| sudo ln -s "$CUDA_PATH/lib64/stubs/libcuda.so" "$CUDA_PATH/lib64/stubs/libcuda.so.1" | |
| export FF_HOME=$(pwd) | |
| cores_available=$(nproc --all) | |
| n_build_cores=$(( cores_available -1 )) | |
| if (( $n_build_cores < 1 )) ; then n_build_cores=1 ; fi | |
| cd python | |
| make -j $n_build_cores | |
| export CPU_ONLY_TEST=1 | |
| python -c 'import flexflow.core' |