[T162270879][fbgemm_gpu] Add CUDA artifact selection on publish #1
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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. | |
| name: FBGEMM_GPU-CPU Nightly Build | |
| on: | |
| # Manual Trigger | |
| # | |
| workflow_dispatch: | |
| inputs: | |
| fbgemm_gpu_variant: | |
| description: FBGEMM-GPU Variant | |
| type: choice | |
| required: true | |
| options: [ "cpu", "cuda", "rocm" ] | |
| default: "cpu" | |
| fbgemm_gpu_version: | |
| description: FBGEMM-GPU Version (e.g. '0.5.0rc1') | |
| type: string | |
| required: true | |
| test_pypi_install_cpu: | |
| if: ${{ github.event_name == 'workflow_dispatch' && github.event.inputs.fbgemm_gpu_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 | |
| strategy: | |
| fail-fast: false | |
| matrix: | |
| host-machine: [ | |
| { instance: "linux.4xlarge" }, | |
| { instance: "linux.arm64.2xlarge" }, | |
| ] | |
| python-version: [ "3.8", "3.9", "3.10", "3.11" ] | |
| 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@v3 | |
| - 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 PyTorch-CPU | |
| run: . $PRELUDE; install_pytorch_pip $BUILD_ENV test cpu | |
| - name: Install FBGEMM_GPU-CPU | |
| run: . $PRELUDE; cd fbgemm_gpu; install_fbgemm_gpu_pypi $BUILD_ENV cuda ${{ github.event.inputs.fbgemm_gpu_version }} | |
| - name: Test with PyTest | |
| timeout-minutes: 10 | |
| run: . $PRELUDE; cd fbgemm_gpu/test; run_fbgemm_gpu_tests $BUILD_ENV cpu | |
| test_pypi_install_cuda: | |
| if: ${{ github.event_name == 'workflow_dispatch' && github.event.inputs.fbgemm_gpu_variant == 'cuda' }} | |
| runs-on: ${{ matrix.host-machine.instance }} | |
| defaults: | |
| run: | |
| shell: bash | |
| env: | |
| PRELUDE: .github/scripts/setup_env.bash | |
| BUILD_ENV: test_install | |
| ENFORCE_NVIDIA_GPU: 1 | |
| strategy: | |
| fail-fast: false | |
| matrix: | |
| host-machine: [ | |
| { instance: "linux.g5.4xlarge.nvidia.gpu" }, | |
| ] | |
| python-version: [ "3.8", "3.9", "3.10", "3.11" ] | |
| cuda-version: [ "11.8.0", "12.1.1" ] | |
| # Specify exactly ONE CUDA version for artifact publish | |
| cuda-version-publish: [ "11.8.0" ] | |
| steps: | |
| - 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 CUDA | |
| run: . $PRELUDE; install_cuda $BUILD_ENV ${{ matrix.cuda-version }} | |
| - name: Install PyTorch-CUDA | |
| run: . $PRELUDE; install_pytorch_pip $BUILD_ENV nightly cuda ${{ matrix.cuda-version }} | |
| - name: Install FBGEMM_GPU-CUDA | |
| run: . $PRELUDE; cd fbgemm_gpu; install_fbgemm_gpu_pypi $BUILD_ENV cuda ${{ github.event.inputs.fbgemm_gpu_version }} | |
| - name: Test with PyTest | |
| timeout-minutes: 10 | |
| run: . $PRELUDE; cd fbgemm_gpu/test; run_fbgemm_gpu_tests $BUILD_ENV | |
| test_pypi_install_rocm: | |
| if: ${{ github.event_name == 'workflow_dispatch' && github.event.inputs.fbgemm_gpu_variant == '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_AMD_GPU: 1 | |
| strategy: | |
| fail-fast: false | |
| matrix: | |
| host-machine: [ | |
| { instance: "rocm" }, | |
| ] | |
| # ROCm machines are limited, so we only test against Python 3.10 | |
| python-version: [ "3.10" ] | |
| rocm-version: [ "5.5.1", "5.6" ] | |
| 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@v3 | |
| - 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 nightly rocm ${{ matrix.rocm-version }} | |
| - name: Install FBGEMM_GPU-ROCm | |
| run: . $PRELUDE; cd fbgemm_gpu; install_fbgemm_gpu_pypi $BUILD_ENV rocm ${{ github.event.inputs.fbgemm_gpu_version }} | |
| - name: Test FBGEMM_GPU-ROCm | |
| timeout-minutes: 15 | |
| run: . $PRELUDE; cd fbgemm_gpu/test; run_fbgemm_gpu_tests $BUILD_ENV rocm |