Adding the new feature of FPDT #38
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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 |