DeepSpeed/.github/workflows/aws-accelerate.yml at master · deepspeedai/DeepSpeed · GitHub

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################################################################################
# DeepSpeed CI - AWS L40S GPU Tests (HuggingFace Accelerate Integration)
#
# Runs the same tests as modal-accelerate.yml but on AWS self-hosted runners.
# Tests DeepSpeed integration with HuggingFace Accelerate library.
# Uses 4x NVIDIA L40S GPUs on g6e.12xlarge instances.
################################################################################

name: aws-accelerate

on:
  workflow_dispatch:

  push:
    branches:
      - master

  pull_request:
    branches:
      - master

concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true

jobs:
  check-paths:
    name: aws-accelerate / check paths
    runs-on: ubuntu-latest
    outputs:
      should_run: ${{ steps.filter.outputs.run_tests }}
    steps:
      - uses: actions/checkout@v7
      - uses: dorny/paths-filter@v4
        id: filter
        with:
          filters: |
            run_tests:
              - '**'
              - '!docs/**'
              - '!blogs/**'
              - '!*.md'
              - '!version.txt'
              - '!deepspeed/inference/v2/**'
              - '!tests/unit/inference/v2/**'

  accelerate-tests:
    name: aws-accelerate / accelerate integration tests
    needs: check-paths
    if: needs.check-paths.outputs.should_run == 'true'
    runs-on: [self-hosted, gpu-ci, gpu-l40s, l40s-1gpu, aws]
    timeout-minutes: 60

    container:
      image: nvidia/cuda:12.6.3-devel-ubuntu22.04
      options: --gpus all --shm-size "32G"

    env:
      TORCH_VER: "2.7"
      CUDA_VER: "12.6"

    steps:
      - name: Install system dependencies
        run: |
          apt-get update && apt-get install -y git git-lfs libaio-dev python3 python3-pip
          git lfs install
          ln -sf /usr/bin/python3 /usr/bin/python

      - name: Checkout repository
        uses: actions/checkout@v4
        with:
          lfs: true

      - name: Install PyTorch
        run: |
          pip install torch==2.7.1 torchvision==0.22.1 torchaudio==2.7.1 --index-url https://download.pytorch.org/whl/cu126

      - name: Install Python dependencies
        run: |
          pip install --upgrade pip
          pip install -r requirements/requirements.txt
          pip install -r requirements/requirements-dev.txt
          pip install datasets

      - name: Check environment
        run: |
          echo "=== GPU Information ==="
          nvidia-smi
          echo ""
          echo "=== CUDA Version ==="
          nvcc --version
          echo ""
          echo "=== Python/PyTorch Info ==="
          python --version
          python -c "import torch; print(f'PyTorch: {torch.__version__}')"
          python -c "import torch; print(f'CUDA available: {torch.cuda.is_available()}')"
          python -c "import torch; print(f'CUDA devices: {torch.cuda.device_count()}')"
          python -c "import torch; print(f'BF16 support: {torch.cuda.is_bf16_supported()}')"

      - name: Install DeepSpeed
        run: |
          # Initialize CUDA before install so setup.py can detect NCCL version
          python -c "import torch; torch.cuda.init(); print(f'NCCL version: {torch.cuda.nccl.version()}')"
          # Use --no-build-isolation so setup.py can access pre-installed PyTorch
          pip install --no-build-isolation .
          ds_report
          # Debug: Check captured torch_info values
          python -c "from deepspeed.git_version_info import torch_info; print(f'torch_info: {torch_info}')"

      - name: Clone and install Accelerate
        run: |
          git clone https://github.com/huggingface/accelerate
          pip install "./accelerate[testing]"

      - name: Run Accelerate DeepSpeed tests
        run: |
          pytest --verbose ./accelerate/tests/deepspeed