Count shard state in HBM usage #4938
Workflow file for this run
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| # 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 FBGEMM_GPU-CPU CI as well as nightly builds of | |
| # FBGEMM_GPU-CPU against PyTorch-CPU Nightly. | |
| name: FBGEMM_GPU-CPU CI | |
| on: | |
| # PR Trigger (enabled for regression checks and debugging) | |
| # | |
| pull_request: | |
| branches: | |
| - main | |
| # Push Trigger (enable to catch errors coming out of multiple merges) | |
| # | |
| push: | |
| branches: | |
| - main | |
| # Cron Trigger (UTC) | |
| # | |
| # Based on the Conda page for PyTorch-nightly, the CPU nightly releases appear | |
| # around 00:30 PST every day | |
| # | |
| schedule: | |
| - cron: '45 12 * * *' | |
| # Manual Trigger | |
| # | |
| workflow_dispatch: | |
| inputs: | |
| 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 | |
| # https://stackoverflow.com/questions/66335225/how-to-cancel-previous-runs-in-the-pr-when-you-push-new-commitsupdate-the-curre | |
| group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} | |
| cancel-in-progress: true | |
| jobs: | |
| # Build on CPU hosts, run tests, 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: cpu | |
| 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.4xlarge" }, | |
| { arch: arm, instance: "linux.arm64.2xlarge" }, | |
| ] | |
| python-version: [ "3.9", "3.10", "3.11", "3.12" ] | |
| compiler: [ "gcc", "clang" ] | |
| 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 | |
| - 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 | |
| run: . $PRELUDE; install_cxx_compiler $BUILD_ENV ${{ matrix.compiler }} | |
| - name: Install Build Tools | |
| run: . $PRELUDE; install_build_tools $BUILD_ENV | |
| - name: Install PyTorch-CPU Nightly | |
| run: . $PRELUDE; install_pytorch_pip $BUILD_ENV nightly cpu | |
| - name: Collect PyTorch Environment Info | |
| if: ${{ success() || failure() }} | |
| run: if . $PRELUDE && which conda; then collect_pytorch_env_info $BUILD_ENV; fi | |
| - name: Prepare FBGEMM_GPU Build | |
| run: . $PRELUDE; cd fbgemm_gpu; prepare_fbgemm_gpu_build $BUILD_ENV | |
| - name: Build FBGEMM_GPU Wheel | |
| run: . $PRELUDE; cd fbgemm_gpu; build_fbgemm_gpu_package $BUILD_ENV nightly cpu | |
| - name: Upload Built Wheel as GHA Artifact | |
| uses: actions/upload-artifact@v4 | |
| with: | |
| name: fbgemm_gpu_nightly_cpu_${{ matrix.host-machine.arch }}_${{ matrix.compiler }}_py${{ matrix.python-version }}.whl | |
| path: fbgemm_gpu/dist/*.whl | |
| if-no-files-found: error | |
| # Download the built artifact from GHA, test on GPU, and push to PyPI | |
| test_and_publish_artifact: | |
| runs-on: ${{ matrix.host-machine.instance }} | |
| container: | |
| image: amazonlinux:2023 | |
| options: --user root | |
| defaults: | |
| run: | |
| shell: bash | |
| env: | |
| PRELUDE: .github/scripts/setup_env.bash | |
| BUILD_ENV: build_binary | |
| BUILD_VARIANT: cpu | |
| strategy: | |
| fail-fast: false | |
| matrix: | |
| host-machine: [ | |
| { arch: x86, instance: "linux.4xlarge", timeout: 20 }, | |
| { arch: arm, instance: "linux.arm64.2xlarge", timeout: 30 }, | |
| ] | |
| python-version: [ "3.9", "3.10", "3.11", "3.12" ] | |
| compiler: [ "gcc", "clang" ] | |
| needs: build_artifact | |
| steps: | |
| - name: Setup Build Container | |
| run: yum update -y; yum install -y binutils findutils git pciutils sudo wget which | |
| - name: Checkout the Repository | |
| uses: actions/checkout@v4 | |
| - name: Download Wheel Artifact from GHA | |
| uses: actions/download-artifact@v4 | |
| with: | |
| name: fbgemm_gpu_nightly_cpu_${{ matrix.host-machine.arch }}_${{ matrix.compiler }}_py${{ matrix.python-version }}.whl | |
| - 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 PyTorch-CPU Nightly | |
| run: . $PRELUDE; install_pytorch_pip $BUILD_ENV nightly cpu | |
| - name: Collect PyTorch Environment Info | |
| if: ${{ success() || failure() }} | |
| run: if . $PRELUDE && which conda; then collect_pytorch_env_info $BUILD_ENV; fi | |
| - name: Prepare FBGEMM_GPU Build | |
| run: . $PRELUDE; cd fbgemm_gpu; prepare_fbgemm_gpu_build $BUILD_ENV | |
| - name: Install FBGEMM_GPU Wheel | |
| run: | | |
| . $PRELUDE | |
| pwd; ls -la . | |
| install_fbgemm_gpu_wheel $BUILD_ENV *.whl | |
| - name: Test with PyTest | |
| timeout-minutes: ${{ matrix.host-machine.timeout }} | |
| run: . $PRELUDE; test_all_fbgemm_gpu_modules $BUILD_ENV | |
| - name: Push Wheel to PyPI | |
| if: ${{ (github.event_name == 'schedule' || (github.event_name == 'workflow_dispatch' && github.event.inputs.publish_to_pypi == 'true')) && matrix.compiler == 'gcc' }} | |
| env: | |
| PYPI_TOKEN: ${{ secrets.PYPI_TOKEN }} | |
| run: . $PRELUDE; publish_to_pypi $BUILD_ENV "$PYPI_TOKEN" *.whl |