FBGEMM_GPU PIP Install + Test #279
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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: | |
| # 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_version: | |
| description: PyTorch Version (e.g. '2.1.0', 'nightly', 'test') | |
| type: string | |
| required: true | |
| default: "nightly" | |
| fbgemm_gpu_channel_version: | |
| description: FBGEMM-GPU Channel + Version (e.g. '0.5.0', 'nightly', 'test/0.6.0r0') | |
| type: string | |
| required: true | |
| default: "nightly" | |
| fbgemm_gpu_variant_type: | |
| description: FBGEMM-GPU Variant | |
| type: choice | |
| required: true | |
| options: [ "cpu", "cuda", "rocm" ] | |
| default: "cpu" | |
| jobs: | |
| test_pypi_install_cpu: | |
| if: ${{ github.event_name == 'schedule' || (github.event_name == 'workflow_dispatch' && github.event.inputs.fbgemm_gpu_variant_type == '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 | |
| strategy: | |
| fail-fast: false | |
| matrix: | |
| host-machine: [ | |
| { arch: x86, instance: "linux.4xlarge", timeout: 20 }, | |
| { arch: arm, instance: "linux.arm64.2xlarge", timeout: 30 }, | |
| ] | |
| python-version: [ "3.8", "3.9", "3.10", "3.11", "3.12" ] | |
| 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 Build Tools | |
| run: . $PRELUDE; install_build_tools $BUILD_ENV | |
| - name: Install PyTorch-CPU | |
| run: . $PRELUDE; install_pytorch_pip $BUILD_ENV ${{ github.event.inputs.pytorch_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_gpu_channel_version || 'nightly' }} cpu | |
| - name: Test with PyTest | |
| timeout-minutes: ${{ matrix.host-machine.timeout }} | |
| run: . $PRELUDE; test_all_fbgemm_gpu_modules $BUILD_ENV cpu | |
| test_pypi_install_cuda: | |
| if: ${{ github.event_name == 'schedule' || (github.event_name == 'workflow_dispatch' && github.event.inputs.fbgemm_gpu_variant_type == 'cuda') }} | |
| runs-on: ${{ matrix.host-machine.instance }} | |
| defaults: | |
| run: | |
| shell: bash | |
| env: | |
| PRELUDE: .github/scripts/setup_env.bash | |
| BUILD_ENV: test_install | |
| ENFORCE_CUDA_DEVICE: 1 | |
| strategy: | |
| fail-fast: false | |
| matrix: | |
| host-machine: [ | |
| { 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" ] | |
| steps: | |
| # Cannot upgrade to actions/checkout@v4 yet because GLIBC on the instance is too old | |
| - name: Checkout the Repository | |
| uses: actions/checkout@v3 | |
| - 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 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 ${{ github.event.inputs.pytorch_version || 'nightly' }} cuda/${{ 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 ${{ github.event.inputs.fbgemm_gpu_channel_version || 'nightly' }} cuda/${{ matrix.cuda-version }} | |
| - name: Test with PyTest | |
| timeout-minutes: 20 | |
| run: . $PRELUDE; test_all_fbgemm_gpu_modules $BUILD_ENV cuda | |
| test_pypi_install_rocm: | |
| if: ${{ github.event_name == 'schedule' || (github.event_name == 'workflow_dispatch' && github.event.inputs.fbgemm_gpu_variant_type == 'rocm') }} | |
| runs-on: ${{ matrix.host-machine.instance }} | |
| container: | |
| image: "rocm/dev-ubuntu-20.04:${{ 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 | |
| ENFORCE_ROCM_DEVICE: 1 | |
| strategy: | |
| fail-fast: false | |
| matrix: | |
| host-machine: [ | |
| { arch: x86, instance: "rocm" }, | |
| ] | |
| # ROCm machines are limited, so we only test a subset of Python versions | |
| python-version: [ "3.11", "3.12" ] | |
| rocm-version: [ "5.7" ] | |
| 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 Build Tools | |
| run: . $PRELUDE; install_build_tools $BUILD_ENV | |
| - name: Install PyTorch-ROCm | |
| run: . $PRELUDE; install_pytorch_pip $BUILD_ENV ${{ github.event.inputs.pytorch_version || 'nightly' }} rocm/${{ 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 ${{ github.event.inputs.fbgemm_gpu_channel_version || 'nightly' }} rocm/${{ matrix.rocm-version }} | |
| - name: Test with PyTest | |
| timeout-minutes: 20 | |
| run: . $PRELUDE; test_all_fbgemm_gpu_modules $BUILD_ENV rocm |