nv-flash-attn #89
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| name: nv-flash-attn | |
| on: | |
| workflow_dispatch: | |
| pull_request: | |
| paths: | |
| - 'deepspeed/sequence/**' | |
| - 'tests/unit/sequence_parallelism/**' | |
| - '.github/workflows/nv-flash-attn.yml' | |
| schedule: | |
| - cron: "0 0 * * *" | |
| concurrency: | |
| group: ${{ github.workflow }}-${{ github.ref }} | |
| cancel-in-progress: true | |
| jobs: | |
| unit-tests: | |
| runs-on: [self-hosted, nvidia, a6000] | |
| container: | |
| image: nvcr.io/nvidia/pytorch:24.03-py3 | |
| ports: | |
| - 80 | |
| options: --gpus all --shm-size "8G" | |
| steps: | |
| - uses: actions/checkout@v4 | |
| - name: Check container state | |
| run: | | |
| ldd --version | |
| nvcc --version | |
| nvidia-smi | |
| python -c "import torch; print('torch:', torch.__version__, torch)" | |
| python -c "import torch; print('CUDA available:', torch.cuda.is_available())" | |
| - name: Install transformers | |
| run: | | |
| git clone --depth=1 https://github.com/huggingface/transformers | |
| cd transformers | |
| git rev-parse --short HEAD | |
| python -m pip install . | |
| - name: Install deepspeed | |
| run: | | |
| python -m pip install .[dev] | |
| ds_report | |
| - name: Install FlashAttention | |
| run: | | |
| python -m pip install flash-attn | |
| - name: Python environment | |
| run: | | |
| python -m pip list | |
| - name: Unit tests | |
| run: | | |
| unset TORCH_CUDA_ARCH_LIST # only jit compile for current arch | |
| cd tests | |
| python -m pytest --color=yes --durations=0 --verbose -rF unit/sequence_parallelism/test_ulysses.py --torch_ver="2.3" --cuda_ver="12" | |
| - name: Open GitHub issue if nightly CI fails | |
| if: ${{ failure() && (github.event_name == 'schedule') }} | |
| uses: JasonEtco/create-an-issue@v2 | |
| env: | |
| GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} | |
| with: | |
| filename: .github/ISSUE_TEMPLATE/ci_failure_report.md | |
| update_existing: true |