Build on Schedule #577
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| name: Build on Schedule | |
| on: | |
| schedule: | |
| # run at 00:00 of every Sunday | |
| - cron: '0 0 * * *' | |
| workflow_dispatch: | |
| jobs: | |
| build: | |
| name: Build and Test Colossal-AI | |
| if: github.repository == 'hpcaitech/ColossalAI' | |
| runs-on: [self-hosted, 8-gpu] | |
| container: | |
| image: hpcaitech/pytorch-cuda:1.11.0-11.3.0 | |
| options: --gpus all --rm -v /data/scratch/cifar-10:/data/scratch/cifar-10 | |
| timeout-minutes: 40 | |
| steps: | |
| - name: Check GPU Availability # ensure all GPUs have enough memory | |
| id: check-avai | |
| run: | | |
| avai=true | |
| for i in $(seq 0 7); | |
| do | |
| gpu_used=$(nvidia-smi -i $i --query-gpu=memory.used --format=csv,noheader,nounits) | |
| [ "$gpu_used" -gt "10000" ] && avai=false | |
| done | |
| echo "GPU is available: $avai" | |
| echo "avai=$avai" >> $GITHUB_OUTPUT | |
| - uses: actions/checkout@v2 | |
| if: steps.check-avai.outputs.avai == 'true' | |
| with: | |
| repository: hpcaitech/TensorNVMe | |
| ssh-key: ${{ secrets.SSH_KEY_FOR_CI }} | |
| path: TensorNVMe | |
| - name: Install tensornvme | |
| if: steps.check-avai.outputs.avai == 'true' | |
| run: | | |
| cd TensorNVMe | |
| conda install cmake | |
| pip install -r requirements.txt | |
| pip install -v . | |
| - uses: actions/checkout@v2 | |
| if: steps.check-avai.outputs.avai == 'true' | |
| with: | |
| ssh-key: ${{ secrets.SSH_KEY_FOR_CI }} | |
| - name: Install Colossal-AI | |
| if: steps.check-avai.outputs.avai == 'true' | |
| run: | | |
| [ ! -z "$(ls -A /github/home/cuda_ext_cache/)" ] && cp -r /github/home/cuda_ext_cache/* /__w/ColossalAI/ColossalAI/ | |
| CUDA_EXT=1 pip install -v -e . | |
| cp -r /__w/ColossalAI/ColossalAI/build /github/home/cuda_ext_cache/ | |
| pip install -r requirements/requirements-test.txt | |
| - name: Unit Testing | |
| if: steps.check-avai.outputs.avai == 'true' | |
| run: | | |
| PYTHONPATH=$PWD pytest tests | |
| env: | |
| DATA: /data/scratch/cifar-10 | |
| LD_LIBRARY_PATH: /github/home/.tensornvme/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64 | |
| - name: Notify Lark | |
| id: message-preparation | |
| if: ${{ failure() }} | |
| run: | | |
| url=$SERVER_URL/$REPO/actions/runs/$RUN_ID | |
| msg="Scheduled Build and Test failed on 8 GPUs, please visit $url for details" | |
| echo $msg | |
| python .github/workflows/scripts/send_message_to_lark.py -m "$msg" -u $WEBHOOK_URL | |
| env: | |
| SERVER_URL: ${{github.server_url }} | |
| REPO: ${{ github.repository }} | |
| RUN_ID: ${{ github.run_id }} | |
| WEBHOOK_URL: ${{ secrets.LARK_NOTIFICATION_WEBHOOK_URL }} |