fbgemm_gpu_ci_genai_generic_infra.yml

# 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-GenAI CI, and is meant to be used for
# copies of the FBGEMM repos hosted outside of the pytorch org.
name: FBGEMM_GPU-GenAI CI (Generic Runner)

on:
  # PR Trigger
  #
  pull_request:
    branches:
      - main

  # Push Trigger (enable to catch errors coming out of multiple merges)
  #
  push:
    branches:
      - main

  # Manual Trigger
  #
  workflow_dispatch:

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

jobs:
  # Build on CPU hosts and upload to GHA
  build_artifact:
    runs-on: ${{ matrix.host-machine.instance }}
    container:
      image: amazonlinux:2023
      options: --user root --privileged --pid=host
      volumes:
          - /var/run/docker.sock:/var/run/docker.sock
    defaults:
      run:
        shell: bash
    env:
      PRELUDE: .github/scripts/setup_env.bash
      BUILD_ENV: build_binary
      BUILD_VARIANT: genai
    continue-on-error: true
    strategy:
      fail-fast: false
      matrix:
        host-machine: [
          { arch: x86, instance: "ubuntu-latest" },
        ]
        python-version: [ "3.9", "3.10", "3.11", "3.12" ]
        cuda-version: [ "11.8.0", "12.1.1", "12.4.1" ]
        compiler: [ "gcc", "clang" ]

    steps:
    - name: Setup Build Container
      run: yum update -y; yum install -y binutils findutils git pciutils sudo tar wget which

    - name: Checkout the Repository
      uses: actions/checkout@v4
      with:
        submodules: true

    - name: Free Disk Space
      run: . $PRELUDE; free_disk_space_on_host

    - 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 CUDA
      run: . $PRELUDE; install_cuda $BUILD_ENV ${{ matrix.cuda-version }}

    # Install via PIP to avoid defaulting to the CPU variant if the GPU variant of the day is not ready
    - name: Install PyTorch Nightly
      run: . $PRELUDE; install_pytorch_pip $BUILD_ENV nightly cuda/${{ 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 cuDNN
      run: . $PRELUDE; install_cudnn $BUILD_ENV "$(pwd)/build_only/cudnn" ${{ matrix.cuda-version }}

    - 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 genai

    - name: Upload Built Wheel as GHA Artifact
      # Cannot upgrade to actions/upload-artifact@v4 yet because GLIBC on the instance is too old
      uses: actions/upload-artifact@v3
      with:
        name: fbgemm_gpu_nightly_genai_${{ matrix.host-machine.arch }}_${{ matrix.compiler }}_py${{ matrix.python-version }}_cu${{ matrix.cuda-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_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: 0
      CUDA_VISIBLE_DEVICES: -1
    strategy:
      fail-fast: false
      matrix:
        host-machine: [
          { arch: x86, instance: "ubuntu-latest" },
        ]
        python-version: [ "3.9", "3.10", "3.11", "3.12" ]
        cuda-version: [ "11.8.0", "12.1.1", "12.4.1" ]
        # Specify exactly ONE CUDA version for artifact publish
        cuda-version-publish: [ "12.1.1" ]
        compiler: [ "gcc", "clang" ]
    needs: build_artifact

    steps:
    # Cannot upgrade to actions/checkout@v4 yet because GLIBC on the instance is too old
    - name: Checkout the Repository
      uses: actions/checkout@v3
      with:
        submodules: true

    - name: Download Wheel Artifact from GHA
      # Cannot upgrade to actions/download-artifact@v4 yet because GLIBC on the instance is too old
      uses: actions/download-artifact@v3
      with:
        name: fbgemm_gpu_nightly_genai_${{ matrix.host-machine.arch }}_${{ matrix.compiler }}_py${{ matrix.python-version }}_cu${{ matrix.cuda-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 clang

    - name: Install CUDA
      run: . $PRELUDE; install_cuda $BUILD_ENV ${{ matrix.cuda-version }}

    - name: Install PyTorch Nightly
      run: . $PRELUDE; install_pytorch_pip $BUILD_ENV nightly cuda/${{ 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: Prepare FBGEMM_GPU Build
      run: . $PRELUDE; cd fbgemm_gpu; prepare_fbgemm_gpu_build $BUILD_ENV

    - name: Install FBGEMM_GPU Wheel
      run: . $PRELUDE; install_fbgemm_gpu_wheel $BUILD_ENV *.whl

    - name: Test with PyTest
      timeout-minutes: 30
      run: . $PRELUDE; test_all_fbgemm_gpu_modules $BUILD_ENV