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[fbgemm_gpu] Add GenAI-only variant release workflow
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| # Copyright (c) Meta Platforms, Inc. and affiliates. | ||
| # All rights reserved. | ||
| # This source code is licensed under the BSD-style license found in the | ||
| # LICENSE file in the root directory of this source tree. | ||
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| # This workflow is used for building and publishing FBGEMM_GPU-GenAI release | ||
| # builds against PyTorch-CUDA Release to public PyPI. | ||
| name: FBGEMM_GPU-GenAI Release Build | ||
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| on: | ||
| # PR Trigger (enabled for regression checks and debugging) | ||
| # | ||
| pull_request: | ||
| branches: | ||
| - ^v([0-9]+)\.([0-9]+)\.([0-9]+)-release | ||
|
|
||
| # Push Trigger (enable to catch errors coming out of multiple merges) | ||
| # | ||
| push: | ||
| branches: | ||
| - ^v([0-9]+)\.([0-9]+)\.([0-9]+)-release | ||
|
|
||
| # Manual Trigger | ||
| # | ||
| workflow_dispatch: | ||
| inputs: | ||
| pytorch_channel: | ||
| description: Package Channel to Use for PyTorch Installation | ||
| type: choice | ||
| required: false | ||
| options: [ "nightly", "test", "release" ] | ||
| default: "test" | ||
| cuda_version: | ||
| description: CUDA Version to Use for Building Artifact | ||
| type: choice | ||
| required: false | ||
| options: [ "11.8.0", "12.1.1", "12.4.1" ] | ||
| default: "12.1.1" | ||
| publish_to_pypi: | ||
| description: Publish Artifact to PyPI | ||
| type: boolean | ||
| required: false | ||
| default: false | ||
|
|
||
| concurrency: | ||
| # Cancel previous runs in the PR if a new commit is pushed | ||
| group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} | ||
| cancel-in-progress: true | ||
|
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||
| jobs: | ||
| # Build on CPU hosts and upload to GHA | ||
| build_artifact: | ||
| runs-on: ${{ matrix.host-machine.instance }} | ||
| container: | ||
| image: amazonlinux:2023 | ||
| options: --user root | ||
| defaults: | ||
| run: | ||
| shell: bash | ||
| env: | ||
| PRELUDE: .github/scripts/setup_env.bash | ||
| BUILD_ENV: build_binary | ||
| BUILD_VARIANT: genai | ||
| continue-on-error: true | ||
| strategy: | ||
| # Don't fast-fail all the other builds if one of the them fails | ||
| fail-fast: false | ||
| matrix: | ||
| host-machine: [ | ||
| { arch: x86, instance: "linux.24xlarge" }, | ||
| ] | ||
| python-version: [ "3.8", "3.9", "3.10", "3.11", "3.12" ] | ||
| cuda-version: [ "11.8.0", "12.1.1", "12.4.1" ] | ||
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||
| steps: | ||
| - name: Setup Build Container | ||
| run: yum update -y; yum install -y binutils findutils git pciutils sudo tar wget which | ||
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||
| - name: Checkout the Repository | ||
| uses: actions/checkout@v4 | ||
|
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||
| - name: Display System Info | ||
| run: . $PRELUDE; print_system_info | ||
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||
| - name: Display GPU Info | ||
| run: . $PRELUDE; print_gpu_info | ||
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||
| - name: Setup Miniconda | ||
| run: . $PRELUDE; setup_miniconda $HOME/miniconda | ||
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| - name: Create Conda Environment | ||
| run: . $PRELUDE; create_conda_environment $BUILD_ENV ${{ matrix.python-version }} | ||
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| - name: Install C/C++ Compilers | ||
| run: . $PRELUDE; install_cxx_compiler $BUILD_ENV | ||
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| - name: Install Build Tools | ||
| run: . $PRELUDE; install_build_tools $BUILD_ENV | ||
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| - name: Install CUDA | ||
| run: . $PRELUDE; install_cuda $BUILD_ENV ${{ matrix.cuda-version }} | ||
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| - name: Install PyTorch Test | ||
| run: . $PRELUDE; install_pytorch_pip $BUILD_ENV ${{ github.event.inputs.pytorch_channel }} cuda/${{ matrix.cuda-version }} | ||
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| - name: Collect PyTorch Environment Info | ||
| if: ${{ success() || failure() }} | ||
| run: if . $PRELUDE && which conda; then collect_pytorch_env_info $BUILD_ENV; fi | ||
|
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| - name: Install cuDNN | ||
| run: . $PRELUDE; install_cudnn $BUILD_ENV "$(pwd)/build_only/cudnn" ${{ matrix.cuda-version }} | ||
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| - name: Prepare FBGEMM_GPU Build | ||
| run: . $PRELUDE; cd fbgemm_gpu; prepare_fbgemm_gpu_build $BUILD_ENV | ||
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| - name: Build FBGEMM_GPU | ||
| run: . $PRELUDE; cd fbgemm_gpu; build_fbgemm_gpu_package $BUILD_ENV release genai | ||
|
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| - name: Upload Built Wheel as GHA Artifact | ||
| uses: actions/upload-artifact@v3 | ||
| with: | ||
| name: fbgemm_gpu_release_genai_${{ matrix.host-machine.arch }}_${{ matrix.python-version }}_cu${{ matrix.cuda-version }}.whl | ||
| path: fbgemm_gpu/dist/*.whl | ||
| if-no-files-found: error | ||
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| # Download the built artifact from GHA, test on GPU, and push to PyPI | ||
| test_and_publish_artifact: | ||
| runs-on: ${{ matrix.host-machine.instance }} | ||
| defaults: | ||
| run: | ||
| shell: bash | ||
| env: | ||
| PRELUDE: .github/scripts/setup_env.bash | ||
| BUILD_ENV: build_binary | ||
| BUILD_VARIANT: genai | ||
| ENFORCE_CUDA_DEVICE: 1 | ||
| strategy: | ||
| fail-fast: false | ||
| matrix: | ||
| host-machine: [ | ||
| { arch: x86, instance: "linux.g5.4xlarge.nvidia.gpu" }, | ||
| ] | ||
| python-version: [ "3.8", "3.9", "3.10", "3.11", "3.12" ] | ||
| cuda-version: [ "11.8.0", "12.1.1", "12.4.1" ] | ||
| needs: build_artifact | ||
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| steps: | ||
| - name: Checkout the Repository | ||
| uses: actions/checkout@v3 | ||
|
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||
| - name: Download Wheel Artifact from GHA | ||
| uses: actions/download-artifact@v3 | ||
| with: | ||
| name: fbgemm_gpu_release_genai_${{ matrix.host-machine.arch }}_${{ matrix.python-version }}_cu${{ matrix.cuda-version }}.whl | ||
|
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| - name: Install NVIDIA Drivers and NVIDIA-Docker Runtime | ||
| uses: pytorch/test-infra/.github/actions/setup-nvidia@main | ||
|
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| - name: Display System Info | ||
| run: . $PRELUDE; print_system_info; print_ec2_info | ||
|
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||
| - name: Display GPU Info | ||
| run: . $PRELUDE; print_gpu_info | ||
|
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||
| - name: Setup Miniconda | ||
| run: . $PRELUDE; setup_miniconda $HOME/miniconda | ||
|
|
||
| - name: Create Conda Environment | ||
| run: . $PRELUDE; create_conda_environment $BUILD_ENV ${{ matrix.python-version }} | ||
|
|
||
| - name: Install CUDA | ||
| run: . $PRELUDE; install_cuda $BUILD_ENV ${{ matrix.cuda-version }} | ||
|
|
||
| - name: Install PyTorch Test | ||
| run: . $PRELUDE; install_pytorch_pip $BUILD_ENV ${{ github.event.inputs.pytorch_channel }} cuda/${{ matrix.cuda-version }} | ||
|
|
||
| - name: Collect PyTorch Environment Info | ||
| if: ${{ success() || failure() }} | ||
| run: if . $PRELUDE && which conda; then collect_pytorch_env_info $BUILD_ENV; fi | ||
|
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||
| - name: Prepare FBGEMM_GPU Build | ||
| run: . $PRELUDE; cd fbgemm_gpu; prepare_fbgemm_gpu_build $BUILD_ENV | ||
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| - name: Install FBGEMM_GPU | ||
| run: . $PRELUDE; install_fbgemm_gpu_wheel $BUILD_ENV *.whl | ||
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| - name: Test with PyTest | ||
| timeout-minutes: 20 | ||
| run: . $PRELUDE; test_all_fbgemm_gpu_modules $BUILD_ENV | ||
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| - name: Push Wheel to PyPI | ||
| if: ${{ github.event_name == 'workflow_dispatch' && github.event.inputs.publish_to_pypi == 'true' && matrix.cuda-version == github.event.inputs.cuda_version }} | ||
| env: | ||
| PYPI_TOKEN: ${{ secrets.PYPI_TOKEN }} | ||
| run: . $PRELUDE; publish_to_pypi $BUILD_ENV "$PYPI_TOKEN" *.whl |