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nv-torch110-v100

nv-torch110-v100 #133

name: nv-torch110-v100
on:
workflow_dispatch:
schedule:
- cron: "0 0 * * *"
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
permissions:
contents: read
issues: write
jobs:
unit-tests:
runs-on: [self-hosted, nvidia, cu111, v100]
env: {ACTIONS_ALLOW_USE_UNSECURE_NODE_VERSION: true} # Allow using Node16 actions
steps:
- uses: actions/checkout@v3
- id: setup-venv
uses: ./.github/workflows/setup-venv
- name: Install pytorch
run: |
pip install -U --cache-dir $TORCH_CACHE torch==1.10.0+cu111 torchvision==0.11.0+cu111 -f https://download.pytorch.org/whl/torch_stable.html
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
# if needed switch to the last known good SHA until transformers@master is fixed
# git checkout 1cc453d33
git rev-parse --short HEAD
pip install .
- name: Install deepspeed
run: |
pip install .[dev,1bit,autotuning] --no-build-isolation
ds_report
- name: Python environment
run: |
pip list
- name: Unit tests
run: |
unset TORCH_CUDA_ARCH_LIST # only jit compile for current arch
cd tests
pytest $PYTEST_OPTS --forked -n 4 unit/ --torch_ver="1.10" --cuda_ver="11"
pytest $PYTEST_OPTS --forked -m 'sequential' unit/ --torch_ver="1.10" --cuda_ver="11"
- 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