[fbgemm_gpu] Migate pip install workflows to reusable workflows #799
Workflow file for this run
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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. | ||
| # This workflow is used for testing the download and installation of FBGEMM_GPU | ||
| # nightly releases published to PyTorch PyPI. | ||
| name: FBGEMM_GPU PIP Install + Test | ||
| on: | ||
| # PR Trigger (enabled for regression checks and debugging) | ||
| # | ||
| pull_request: | ||
| branches: | ||
| - main | ||
| # Cron Trigger (UTC) | ||
| # | ||
| # Based on the the nightly releases schedule in PyTorch infrastructure, the | ||
| # wheels are published to PyTorch PIP at around 11:30 UTC every day. After | ||
| # publication, it can take up to 30 minutes for the wheels to be published, as | ||
| # the re-indexing job is scheduled to run every 30 minutes. As such, we set | ||
| # the PIP install + test workflow to be kicked off 4 hours after the publish | ||
| # job is kicked off to give ample time for the nightly wheel to be available | ||
| # in PyTorch PIP. | ||
| # | ||
| schedule: | ||
| - cron: '30 15 * * *' | ||
| # Manual Trigger | ||
| # | ||
| workflow_dispatch: | ||
| inputs: | ||
| pytorch-channel-version: | ||
| description: PyTorch Version (e.g. '2.8.0', 'nightly', 'test') | ||
| type: string | ||
| required: true | ||
| default: "nightly" | ||
| fbgemm-channel-version: | ||
| description: FBGEMM-GPU Channel + Version (e.g. '1.3.0', 'nightly', 'test/1.3.0') | ||
| type: string | ||
| required: true | ||
| default: "nightly" | ||
| fbgemm-build-target: | ||
| description: FBGEMM-GPU Build Target | ||
| type: choice | ||
| required: true | ||
| options: [ "default", "genai" ] | ||
| default: "cpu" | ||
| fbgemm-build-variant: | ||
| description: FBGEMM-GPU Variant | ||
| type: choice | ||
| required: true | ||
| options: [ "cpu", "cuda", "rocm" ] | ||
| default: "cpu" | ||
| jobs: | ||
| generate-test-matrix-cuda: | ||
| if: ${{ github.repository_owner == 'pytorch' && (github.event_name == 'schedule' || (github.event_name == 'workflow_dispatch' && github.event.inputs.fbgemm-build-variant == 'cuda')) }} | ||
| uses: ./.github/workflows/_fbgemm_gpu_generate_ci_matrix.yml | ||
| with: | ||
| repo-owner: ${{ github.repository_owner }} | ||
| repo-ref: ${{ (github.event_name == 'schedule' && 'nightly') || github.ref }} | ||
| targets: ${{ github.event.inputs.fbgemm-build-target || 'default,genai' }} | ||
| variant: cuda | ||
| jobtype: test | ||
| test-pypi-install-cuda: | ||
| if: ${{ github.repository_owner == 'pytorch' && (github.event_name == 'schedule' || (github.event_name == 'workflow_dispatch' && github.event.inputs.fbgemm-build-variant == 'cuda')) }} | ||
| needs: generate-test-matrix-cuda | ||
| uses: ./.github/workflows/_fbgemm_gpu_cuda_test.yml | ||
| with: | ||
| matrix: ${{ needs.generate-test-matrix-cuda.outputs.matrix }} | ||
| repo-ref: ${{ (github.event_name == 'schedule' && 'nightly') || github.ref }} | ||
| pytorch-channel-version: ${{ github.event.inputs.pytorch-channel-version || 'nightly' }} | ||
| fbgemm-channel-version: ${{ github.event.inputs.fbgemm-channel-version || 'nightly' }} | ||
| installation-source: pip | ||
|
Check failure on line 78 in .github/workflows/fbgemm_gpu_pip.yml
|
||
| extra-env: >- | ||
| { | ||
| "ENFORCE_CUDA_DEVICE": 1 | ||
| } | ||
| test_pypi_install_cpu: | ||
| if: ${{ github.repository_owner == 'pytorch' && (github.event_name == 'schedule' || (github.event_name == 'workflow_dispatch' && github.event.inputs.fbgemm-build-variant == 'cpu')) }} | ||
| 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: test_install | ||
| BUILD_VARIANT: cpu | ||
| strategy: | ||
| fail-fast: false | ||
| matrix: | ||
| host-machine: [ | ||
| { arch: x86, instance: "linux.4xlarge", timeout: 20 }, | ||
| { arch: arm, instance: "linux.arm64.m7g.4xlarge", timeout: 30 }, | ||
| ] | ||
| python-version: [ "3.9", "3.10", "3.11", "3.12", "3.13" ] | ||
| steps: | ||
| - name: Setup Build Container | ||
| run: yum update -y; yum install -y binutils findutils git pciutils sudo wget which | ||
| - name: Checkout the Repository | ||
| uses: actions/checkout@v4 | ||
| - name: Display System Info | ||
| run: . $PRELUDE; print_system_info; print_ec2_info | ||
| - name: Display GPU Info | ||
| run: . $PRELUDE; print_gpu_info | ||
| - 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 C/C++ Compilers for Updated LIBGCC | ||
| run: . $PRELUDE; install_cxx_compiler $BUILD_ENV ${{ matrix.compiler }} | ||
| - name: Install Build Tools | ||
| run: . $PRELUDE; install_build_tools $BUILD_ENV | ||
| - name: Install PyTorch-CPU | ||
| run: . $PRELUDE; install_pytorch_pip $BUILD_ENV ${{ github.event.inputs.pytorch-channel-version || 'nightly' }} cpu | ||
| - name: Collect PyTorch Environment Info | ||
| if: ${{ success() || failure() }} | ||
| run: if . $PRELUDE && which conda; then collect_pytorch_env_info $BUILD_ENV; fi | ||
| - name: Install FBGEMM_GPU-CPU | ||
| run: . $PRELUDE; install_fbgemm_gpu_pip $BUILD_ENV ${{ github.event.inputs.fbgemm-channel-version || 'nightly' }} cpu | ||
| - name: Test with PyTest | ||
| timeout-minutes: ${{ matrix.host-machine.timeout }} | ||
| run: . $PRELUDE; test_all_fbgemm_gpu_modules $BUILD_ENV | ||
| # test_pypi_install_cuda: | ||
| # if: ${{ github.repository_owner == 'pytorch' && (github.event_name == 'schedule' || (github.event_name == 'workflow_dispatch' && github.event.inputs.fbgemm-build-variant == 'cuda')) }} | ||
| # runs-on: ${{ matrix.host-machine.instance }} | ||
| # defaults: | ||
| # run: | ||
| # shell: bash | ||
| # env: | ||
| # PRELUDE: .github/scripts/setup_env.bash | ||
| # BUILD_ENV: test_install | ||
| # BUILD_VARIANT: cuda | ||
| # BUILD_CUDA_VERSION: ${{ matrix.cuda-version }} | ||
| # ENFORCE_CUDA_DEVICE: 1 | ||
| # strategy: | ||
| # fail-fast: false | ||
| # matrix: | ||
| # host-machine: [ | ||
| # { instance: "linux.g5.4xlarge.nvidia.gpu" }, | ||
| # ] | ||
| # python-version: [ "3.9", "3.10", "3.11", "3.12", "3.13" ] | ||
| # cuda-version: [ "12.6.3", "12.8.1", "12.9.1" ] | ||
| # steps: | ||
| # # Cannot upgrade to actions/checkout@v4 yet because GLIBC on the instance is too old | ||
| # - name: Checkout the Repository | ||
| # uses: actions/checkout@v4 | ||
| # - name: Install NVIDIA Drivers and NVIDIA-Docker Runtime | ||
| # uses: pytorch/test-infra/.github/actions/setup-nvidia@main | ||
| # - name: Display System Info | ||
| # run: . $PRELUDE; print_system_info; print_ec2_info | ||
| # - name: Display GPU Info | ||
| # run: . $PRELUDE; print_gpu_info | ||
| # - 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 C/C++ Compilers for Updated LIBGCC | ||
| # # NOTE: gcc is required for torch dynamo to work properly, as some of | ||
| # # the compilation flags used by torch dynamo are gcc-specific: | ||
| # # | ||
| # # clang-16: error: unknown argument: '-fno-tree-loop-vectorize' | ||
| # run: . $PRELUDE; install_cxx_compiler $BUILD_ENV gcc | ||
| # - name: Install Build Tools | ||
| # run: . $PRELUDE; install_build_tools $BUILD_ENV | ||
| # - name: Install CUDA | ||
| # run: . $PRELUDE; install_cuda $BUILD_ENV ${{ matrix.cuda-version }} | ||
| # - name: Install PyTorch-CUDA | ||
| # run: . $PRELUDE; install_pytorch_pip $BUILD_ENV ${{ github.event.inputs.pytorch-channel-version || 'nightly' }} cuda/${{ matrix.cuda-version }} | ||
| # - name: Collect PyTorch Environment Info | ||
| # if: ${{ success() || failure() }} | ||
| # run: if . $PRELUDE && which conda; then collect_pytorch_env_info $BUILD_ENV; fi | ||
| # - name: Install FBGEMM_GPU-CUDA | ||
| # run: . $PRELUDE; install_fbgemm_gpu_pip $BUILD_ENV ${{ github.event.inputs.fbgemm-channel-version || 'nightly' }} cuda/${{ matrix.cuda-version }} | ||
| # - name: Test with PyTest | ||
| # timeout-minutes: 60 | ||
| # run: . $PRELUDE; test_all_fbgemm_gpu_modules $BUILD_ENV | ||
| test_pypi_install_rocm: | ||
| if: ${{ github.repository_owner == 'pytorch' && (github.event_name == 'schedule' || (github.event_name == 'workflow_dispatch' && github.event.inputs.fbgemm-build-variant == 'rocm')) }} | ||
| runs-on: ${{ matrix.host-machine.instance }} | ||
| container: | ||
| image: "rocm/dev-ubuntu-22.04:${{ matrix.rocm-version }}-complete" | ||
| options: --user root --device=/dev/kfd --device=/dev/dri --ipc=host --shm-size 16G --group-add video --cap-add=SYS_PTRACE --security-opt seccomp=unconfined | ||
| defaults: | ||
| run: | ||
| shell: bash | ||
| env: | ||
| PRELUDE: .github/scripts/setup_env.bash | ||
| BUILD_ENV: test_install | ||
| BUILD_VARIANT: rocm | ||
| ENFORCE_ROCM_DEVICE: 1 | ||
| strategy: | ||
| fail-fast: false | ||
| matrix: | ||
| host-machine: [ | ||
| { arch: x86, instance: "linux.rocm.gpu.2" }, | ||
| ] | ||
| # ROCm machines are limited, so we only test a subset of Python versions | ||
| python-version: [ "3.9", "3.10", "3.11", "3.12", "3.13" ] | ||
| rocm-version: [ "6.3", "6.4" ] | ||
| steps: | ||
| - name: Setup Build Container | ||
| run: | | ||
| apt update -y | ||
| apt install -y git wget | ||
| git config --global --add safe.directory '*' | ||
| - name: Checkout the Repository | ||
| uses: actions/checkout@v4 | ||
| - name: Display System Info | ||
| run: . $PRELUDE; print_system_info | ||
| - name: Display GPU Info | ||
| run: . $PRELUDE; print_gpu_info | ||
| - name: Free Disk Space | ||
| run: . $PRELUDE; free_disk_space | ||
| - 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 ROCm AMD-SMI | ||
| run: . $PRELUDE; install_rocm_amdsmi_ubuntu $BUILD_ENV | ||
| - name: Install Build Tools | ||
| run: . $PRELUDE; install_build_tools $BUILD_ENV | ||
| - name: Install PyTorch-ROCm | ||
| run: . $PRELUDE; install_pytorch_pip $BUILD_ENV ${{ github.event.inputs.pytorch-channel-version || 'nightly' }} rocm/${{ matrix.rocm-version }} | ||
| - name: Collect PyTorch Environment Info | ||
| if: ${{ success() || failure() }} | ||
| run: if . $PRELUDE && which conda; then collect_pytorch_env_info $BUILD_ENV; fi | ||
| - name: Install FBGEMM_GPU-ROCm | ||
| run: . $PRELUDE; install_fbgemm_gpu_pip $BUILD_ENV ${{ github.event.inputs.fbgemm-channel-version || 'nightly' }} rocm/${{ matrix.rocm-version }} | ||
| - name: Test with PyTest | ||
| timeout-minutes: 60 | ||
| run: . $PRELUDE; test_all_fbgemm_gpu_modules $BUILD_ENV | ||
