fbgemm_gpu_ci_rocm.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-ROCm CI as well as nightly builds of
# FBGEMM_GPU-ROCm against PyTorch-ROCm Nightly.
name: FBGEMM_GPU-ROCm 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 GPU nightly releases appear
  # around 02:30 PST every day (roughly 2 hours after the CPU releases)
  #
  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
  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:
    if: ${{ github.repository_owner == 'pytorch' }}
    runs-on: ${{ matrix.host-machine.instance }}
    container:
      image: ${{ matrix.container-image }}
      options: --user root
    defaults:
      run:
        shell: bash
    env:
      PRELUDE: .github/scripts/setup_env.bash
      BUILD_ENV: build_binary
      BUILD_VARIANT: rocm
    strategy:
      fail-fast: false
      matrix:
        host-machine: [
          { arch: x86, instance: "linux.24xlarge" },
        ]
        container-image: [ "ubuntu:22.04" ]
        python-version: [ "3.9", "3.10", "3.11", "3.12" ]
        rocm-version: [ "6.1.2", "6.2.4" ]
        compiler: [ "gcc", "clang" ]

    steps:
    - name: Setup Build Container
      run: |
        apt update -y
        apt install -y binutils git pciutils sudo 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 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 ROCm
      run: . $PRELUDE; install_rocm_ubuntu $BUILD_ENV ${{ matrix.rocm-version }}

    - name: Install PyTorch-ROCm Nightly
      run:  . $PRELUDE; install_pytorch_pip $BUILD_ENV nightly rocm/${{ 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: 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 rocm

    - name: Upload Built Wheel as GHA Artifact
      uses: actions/upload-artifact@v4
      with:
        name: fbgemm_gpu_nightly_rocm_${{ matrix.host-machine.arch }}_${{ matrix.compiler }}_py${{ matrix.python-version }}_rocm${{ matrix.rocm-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:
    if: ${{ github.repository_owner == 'pytorch' }}
    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: build_binary
      BUILD_VARIANT: rocm
      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: [ "3.12" ]
        rocm-version: [ "6.2.4" ]
        compiler: [ "gcc", "clang" ]
    needs: build_artifact

    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: Download Wheel Artifact from GHA
      uses: actions/download-artifact@v4
      with:
        name: fbgemm_gpu_nightly_rocm_${{ matrix.host-machine.arch }}_${{ matrix.compiler }}_py${{ matrix.python-version }}_rocm${{ matrix.rocm-version }}.whl

    - 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 PyTorch-ROCm Nightly
      run:  . $PRELUDE; install_pytorch_pip $BUILD_ENV nightly rocm/${{ 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: 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: 20
      run: . $PRELUDE; test_all_fbgemm_gpu_modules $BUILD_ENV