Benchmarking tests #7
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| name: Benchmarking tests | |
| on: | |
| workflow_dispatch: | |
| schedule: | |
| - cron: "30 1 1,15 * *" # every 2 weeks on the 1st and the 15th of every month at 1:30 AM | |
| env: | |
| DIFFUSERS_IS_CI: yes | |
| HF_HUB_ENABLE_HF_TRANSFER: 1 | |
| HF_HOME: /mnt/cache | |
| OMP_NUM_THREADS: 8 | |
| MKL_NUM_THREADS: 8 | |
| jobs: | |
| torch_pipelines_cuda_benchmark_tests: | |
| env: | |
| SLACK_WEBHOOK_URL: ${{ secrets.SLACK_WEBHOOK_URL_BENCHMARK }} | |
| name: Torch Core Pipelines CUDA Benchmarking Tests | |
| strategy: | |
| fail-fast: false | |
| max-parallel: 1 | |
| runs-on: | |
| group: aws-g6-4xlarge-plus | |
| container: | |
| image: diffusers/diffusers-pytorch-compile-cuda | |
| options: --shm-size "16gb" --ipc host --gpus 0 | |
| steps: | |
| - name: Checkout diffusers | |
| uses: actions/checkout@v3 | |
| with: | |
| fetch-depth: 2 | |
| - name: NVIDIA-SMI | |
| run: | | |
| nvidia-smi | |
| - name: Install dependencies | |
| run: | | |
| python -m venv /opt/venv && export PATH="/opt/venv/bin:$PATH" | |
| python -m uv pip install -e [quality,test] | |
| python -m uv pip install pandas peft | |
| - name: Environment | |
| run: | | |
| python utils/print_env.py | |
| - name: Diffusers Benchmarking | |
| env: | |
| HF_TOKEN: ${{ secrets.DIFFUSERS_BOT_TOKEN }} | |
| BASE_PATH: benchmark_outputs | |
| run: | | |
| export TOTAL_GPU_MEMORY=$(python -c "import torch; print(torch.cuda.get_device_properties(0).total_memory / (1024**3))") | |
| cd benchmarks && mkdir ${BASE_PATH} && python run_all.py && python push_results.py | |
| - name: Test suite reports artifacts | |
| if: ${{ always() }} | |
| uses: actions/upload-artifact@v4 | |
| with: | |
| name: benchmark_test_reports | |
| path: benchmarks/benchmark_outputs | |
| - name: Report success status | |
| if: ${{ success() }} | |
| run: | | |
| pip install requests && python utils/notify_benchmarking_status.py --status=success | |
| - name: Report failure status | |
| if: ${{ failure() }} | |
| run: | | |
| pip install requests && python utils/notify_benchmarking_status.py --status=failure |