name: Slow tests on main on: push: branches: - main env: DIFFUSERS_IS_CI: yes HF_HOME: /mnt/cache OMP_NUM_THREADS: 8 MKL_NUM_THREADS: 8 PYTEST_TIMEOUT: 600 RUN_SLOW: yes jobs: run_slow_tests: strategy: fail-fast: false max-parallel: 1 matrix: config: - name: Slow PyTorch CUDA tests on Ubuntu framework: pytorch runner: docker-gpu image: diffusers/diffusers-pytorch-cuda report: torch_cuda - name: Slow Flax TPU tests on Ubuntu framework: flax runner: docker-tpu image: diffusers/diffusers-flax-tpu report: flax_tpu - name: Slow ONNXRuntime CUDA tests on Ubuntu framework: onnxruntime runner: docker-gpu image: diffusers/diffusers-onnxruntime-cuda report: onnx_cuda name: ${{ matrix.config.name }} runs-on: ${{ matrix.config.runner }} container: image: ${{ matrix.config.image }} options: --shm-size "16gb" --ipc host -v /mnt/hf_cache:/mnt/cache/ ${{ matrix.config.runner == 'docker-tpu' && '--privileged' || '--gpus 0'}} defaults: run: shell: bash steps: - name: Checkout diffusers uses: actions/checkout@v3 with: fetch-depth: 2 - name: NVIDIA-SMI if : ${{ matrix.config.runner == 'docker-gpu' }} run: | nvidia-smi - name: Install dependencies run: | apt-get update && apt-get install libsndfile1-dev libgl1 -y python -m pip install -e .[quality,test] - name: Environment run: | python utils/print_env.py - name: Run slow PyTorch CUDA tests if: ${{ matrix.config.framework == 'pytorch' }} env: HUGGING_FACE_HUB_TOKEN: ${{ secrets.HUGGING_FACE_HUB_TOKEN }} # https://pytorch.org/docs/stable/notes/randomness.html#avoiding-nondeterministic-algorithms CUBLAS_WORKSPACE_CONFIG: :16:8 run: | python -m pytest -n 1 --max-worker-restart=0 --dist=loadfile \ -s -v -k "not Flax and not Onnx" \ --make-reports=tests_${{ matrix.config.report }} \ tests/ - name: Run slow Flax TPU tests if: ${{ matrix.config.framework == 'flax' }} env: HUGGING_FACE_HUB_TOKEN: ${{ secrets.HUGGING_FACE_HUB_TOKEN }} run: | python -m pytest -n 0 \ -s -v -k "Flax" \ --make-reports=tests_${{ matrix.config.report }} \ tests/ - name: Run slow ONNXRuntime CUDA tests if: ${{ matrix.config.framework == 'onnxruntime' }} env: HUGGING_FACE_HUB_TOKEN: ${{ secrets.HUGGING_FACE_HUB_TOKEN }} run: | python -m pytest -n 1 --max-worker-restart=0 --dist=loadfile \ -s -v -k "Onnx" \ --make-reports=tests_${{ matrix.config.report }} \ tests/ - name: Failure short reports if: ${{ failure() }} run: cat reports/tests_${{ matrix.config.report }}_failures_short.txt - name: Test suite reports artifacts if: ${{ always() }} uses: actions/upload-artifact@v2 with: name: ${{ matrix.config.report }}_test_reports path: reports run_examples_tests: name: Examples PyTorch CUDA tests on Ubuntu runs-on: docker-gpu container: image: diffusers/diffusers-pytorch-cuda options: --gpus 0 --shm-size "16gb" --ipc host -v /mnt/hf_cache:/mnt/cache/ steps: - name: Checkout diffusers uses: actions/checkout@v3 with: fetch-depth: 2 - name: NVIDIA-SMI run: | nvidia-smi - name: Install dependencies run: | python -m pip install -e .[quality,test,training] - name: Environment run: | python utils/print_env.py - name: Run example tests on GPU env: HUGGING_FACE_HUB_TOKEN: ${{ secrets.HUGGING_FACE_HUB_TOKEN }} run: | python -m pytest -n 1 --max-worker-restart=0 --dist=loadfile -s -v --make-reports=examples_torch_cuda examples/ - name: Failure short reports if: ${{ failure() }} run: cat reports/examples_torch_cuda_failures_short.txt - name: Test suite reports artifacts if: ${{ always() }} uses: actions/upload-artifact@v2 with: name: examples_test_reports path: reports