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- name: nv-h100
- on:
- schedule:
- - cron: "0 0 * * *"
- workflow_dispatch:
- concurrency:
- group: ${{ github.workflow }}-${{ github.ref }}
- cancel-in-progress: true
- permissions:
- contents: read
- issues: write
- jobs:
- unit-tests:
- runs-on: [self-hosted, nvidia, h100]
- container:
- image: nvcr.io/nvidia/pytorch:23.03-py3
- ports:
- - 80
- options: --gpus all --shm-size "8G"
- steps:
- - uses: actions/checkout@v3
- - name: Check container state
- run: |
- 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 https://github.com/huggingface/transformers
- cd transformers
- git rev-parse --short HEAD
- python -m pip install .
- - name: Install deepspeed
- run: |
- python -m pip install docutils==0.18.1 jinja2==3.0 urllib3==1.26.11 ninja
- python -m pip install .[dev,1bit,autotuning]
- ds_report
- - 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 $PYTEST_OPTS -n 4 unit/ --torch_ver="2.0" --cuda_ver="12"
- python -m pytest $PYTEST_OPTS -m 'sequential' unit/ --torch_ver="2.0" --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
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