Build on Schedule #5
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| 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, gpu] | |
| container: | |
| image: hpcaitech/pytorch-cuda:2.1.0-12.1.0 | |
| options: --gpus all --rm -v /dev/shm -v /data/scratch/llama-tiny:/data/scratch/llama-tiny | |
| timeout-minutes: 90 | |
| steps: | |
| - name: Check GPU Availability # ensure all GPUs have enough memory | |
| id: check-avai | |
| run: | | |
| avai=true | |
| ngpu=$(nvidia-smi --query-gpu=name --format=csv,noheader | wc -l) | |
| endIndex=$(($ngpu-1)) | |
| for i in $(seq 0 $endIndex); | |
| do | |
| gpu_used=$(nvidia-smi -i $i --query-gpu=memory.used --format=csv,noheader,nounits) | |
| [ "$gpu_used" -gt "2000" ] && 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 | |
| DISABLE_URING=1 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/ | |
| BUILD_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 \ | |
| -m "not largedist" \ | |
| --durations=0 \ | |
| tests/ | |
| env: | |
| LD_LIBRARY_PATH: /github/home/.tensornvme/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64 | |
| LLAMA_PATH: /data/scratch/llama-tiny | |
| - name: Notify Lark | |
| id: message-preparation | |
| if: ${{ failure() }} | |
| run: | | |
| url=$SERVER_URL/$REPO/actions/runs/$RUN_ID | |
| msg="Scheduled Build and Test failed, 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 }} |