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Running on Zero
| name: Fast GPU Tests on PR | |
| permissions: | |
| contents: read | |
| on: | |
| pull_request: | |
| branches: main | |
| paths: | |
| - "src/diffusers/models/modeling_utils.py" | |
| - "src/diffusers/models/model_loading_utils.py" | |
| - "src/diffusers/pipelines/pipeline_utils.py" | |
| - "src/diffusers/pipeline_loading_utils.py" | |
| - "src/diffusers/loaders/lora_base.py" | |
| - "src/diffusers/loaders/lora_pipeline.py" | |
| - "src/diffusers/loaders/peft.py" | |
| - "tests/pipelines/test_pipelines_common.py" | |
| - "tests/models/test_modeling_common.py" | |
| - "examples/**/*.py" | |
| workflow_dispatch: | |
| concurrency: | |
| group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }} | |
| cancel-in-progress: true | |
| env: | |
| DIFFUSERS_IS_CI: yes | |
| OMP_NUM_THREADS: 8 | |
| MKL_NUM_THREADS: 8 | |
| HF_XET_HIGH_PERFORMANCE: 1 | |
| PYTEST_TIMEOUT: 600 | |
| PIPELINE_USAGE_CUTOFF: 1000000000 # set high cutoff so that only always-test pipelines run | |
| # Force version overrides across every `uv pip install` in this workflow via UV_OVERRIDE: | |
| # - tokenizers<0.23.0, even when transformers@main declares a higher lower-bound. | |
| # - torch/torchvision/torchaudio pinned to the image's baked-in set so `-U` installs | |
| # (e.g. accelerate@main) can't bump torch and break torchvision's C++ ABI | |
| # (torchvision::nms). The pinned set is (re)written into the override file per job below. | |
| UV_OVERRIDE: /tmp/uv-overrides.txt | |
| jobs: | |
| check_code_quality: | |
| runs-on: ubuntu-22.04 | |
| steps: | |
| - uses: actions/checkout@v6 | |
| - name: Set up Python | |
| uses: actions/setup-python@v6 | |
| with: | |
| python-version: "3.10" | |
| - name: Install dependencies | |
| run: | | |
| pip install --upgrade pip | |
| pip install .[quality] | |
| - name: Check quality | |
| run: make quality | |
| - name: Check if failure | |
| if: ${{ failure() }} | |
| run: | | |
| echo "Quality check failed. Please ensure the right dependency versions are installed with 'pip install -e .[quality]' and run 'make style && make quality'" >> $GITHUB_STEP_SUMMARY | |
| check_repository_consistency: | |
| needs: check_code_quality | |
| runs-on: ubuntu-22.04 | |
| steps: | |
| - uses: actions/checkout@v6 | |
| - name: Set up Python | |
| uses: actions/setup-python@v6 | |
| with: | |
| python-version: "3.10" | |
| - name: Install dependencies | |
| run: | | |
| pip install --upgrade pip | |
| pip install .[quality] | |
| - name: Check repo consistency | |
| run: | | |
| python utils/check_copies.py | |
| python utils/check_dummies.py | |
| python utils/check_support_list.py | |
| python utils/check_forward_call_docstrings.py | |
| make deps_table_check_updated | |
| - name: Check if failure | |
| if: ${{ failure() }} | |
| run: | | |
| echo "Repo consistency check failed. Please ensure the right dependency versions are installed with 'pip install -e .[quality]' and run 'make fix-copies'" >> $GITHUB_STEP_SUMMARY | |
| setup_torch_cuda_pipeline_matrix: | |
| needs: [check_code_quality, check_repository_consistency] | |
| name: Setup Torch Pipelines CUDA Slow Tests Matrix | |
| runs-on: | |
| group: aws-general-8-plus | |
| container: | |
| image: diffusers/diffusers-pytorch-cpu | |
| outputs: | |
| pipeline_test_matrix: ${{ steps.fetch_pipeline_matrix.outputs.pipeline_test_matrix }} | |
| steps: | |
| - name: Checkout diffusers | |
| uses: actions/checkout@v6 | |
| with: | |
| fetch-depth: 2 | |
| - name: Install dependencies | |
| run: | | |
| printf 'tokenizers<0.23.0\ntorch==2.10.0\ntorchvision==0.25.0\ntorchaudio==2.10.0\n' > "$UV_OVERRIDE" | |
| uv pip install -e ".[quality]" | |
| - name: Environment | |
| run: | | |
| diffusers-cli env | |
| - name: Fetch Pipeline Matrix | |
| id: fetch_pipeline_matrix | |
| run: | | |
| matrix=$(python utils/fetch_torch_cuda_pipeline_test_matrix.py) | |
| echo $matrix | |
| echo "pipeline_test_matrix=$matrix" >> $GITHUB_OUTPUT | |
| - name: Pipeline Tests Artifacts | |
| if: ${{ always() }} | |
| uses: actions/upload-artifact@v6 | |
| with: | |
| name: test-pipelines.json | |
| path: reports | |
| torch_pipelines_cuda_tests: | |
| name: Torch Pipelines CUDA Tests | |
| needs: setup_torch_cuda_pipeline_matrix | |
| strategy: | |
| fail-fast: false | |
| max-parallel: 8 | |
| matrix: | |
| module: ${{ fromJson(needs.setup_torch_cuda_pipeline_matrix.outputs.pipeline_test_matrix) }} | |
| runs-on: | |
| group: aws-g4dn-2xlarge | |
| container: | |
| image: diffusers/diffusers-pytorch-cuda | |
| options: --shm-size "16gb" --ipc host --gpus all | |
| steps: | |
| - name: Checkout diffusers | |
| uses: actions/checkout@v6 | |
| with: | |
| fetch-depth: 2 | |
| - name: NVIDIA-SMI | |
| run: | | |
| nvidia-smi | |
| - name: Install dependencies | |
| run: | | |
| printf 'tokenizers<0.23.0\ntorch==2.10.0\ntorchvision==0.25.0\ntorchaudio==2.10.0\n' > "$UV_OVERRIDE" | |
| uv pip install -e ".[quality]" | |
| uv pip uninstall accelerate && uv pip install -U accelerate@git+https://github.com/huggingface/accelerate.git | |
| uv pip uninstall transformers huggingface_hub && UV_PRERELEASE=allow uv pip install -U transformers@git+https://github.com/huggingface/transformers.git | |
| - name: Environment | |
| run: | | |
| diffusers-cli env | |
| - name: Extract tests | |
| id: extract_tests | |
| run: | | |
| pattern=$(python utils/extract_tests_from_mixin.py --type pipeline) | |
| echo "$pattern" > /tmp/test_pattern.txt | |
| echo "pattern_file=/tmp/test_pattern.txt" >> $GITHUB_OUTPUT | |
| - name: PyTorch CUDA checkpoint tests on Ubuntu | |
| env: | |
| HF_TOKEN: ${{ secrets.DIFFUSERS_HF_HUB_READ_TOKEN }} | |
| # https://pytorch.org/docs/stable/notes/randomness.html#avoiding-nondeterministic-algorithms | |
| CUBLAS_WORKSPACE_CONFIG: :16:8 | |
| run: | | |
| if [ "${{ matrix.module }}" = "ip_adapters" ]; then | |
| pytest -n 1 --max-worker-restart=0 --dist=loadfile \ | |
| -k "not Flax and not Onnx" \ | |
| --make-reports=tests_pipeline_${{ matrix.module }}_cuda \ | |
| tests/pipelines/${{ matrix.module }} | |
| else | |
| pattern=$(cat ${{ steps.extract_tests.outputs.pattern_file }}) | |
| pytest -n 1 --max-worker-restart=0 --dist=loadfile \ | |
| -k "not Flax and not Onnx and $pattern" \ | |
| --make-reports=tests_pipeline_${{ matrix.module }}_cuda \ | |
| tests/pipelines/${{ matrix.module }} | |
| fi | |
| - name: Failure short reports | |
| if: ${{ failure() }} | |
| run: | | |
| cat reports/tests_pipeline_${{ matrix.module }}_cuda_stats.txt | |
| cat reports/tests_pipeline_${{ matrix.module }}_cuda_failures_short.txt | |
| - name: Test suite reports artifacts | |
| if: ${{ always() }} | |
| uses: actions/upload-artifact@v6 | |
| with: | |
| name: pipeline_${{ matrix.module }}_test_reports | |
| path: reports | |
| torch_cuda_tests: | |
| name: Torch CUDA Tests | |
| needs: [check_code_quality, check_repository_consistency] | |
| runs-on: | |
| group: aws-g4dn-2xlarge | |
| container: | |
| image: diffusers/diffusers-pytorch-cuda | |
| options: --shm-size "16gb" --ipc host --gpus all | |
| defaults: | |
| run: | |
| shell: bash | |
| strategy: | |
| fail-fast: false | |
| max-parallel: 4 | |
| matrix: | |
| module: [models, schedulers, lora, others] | |
| steps: | |
| - name: Checkout diffusers | |
| uses: actions/checkout@v6 | |
| with: | |
| fetch-depth: 2 | |
| - name: Install dependencies | |
| run: | | |
| printf 'tokenizers<0.23.0\ntorch==2.10.0\ntorchvision==0.25.0\ntorchaudio==2.10.0\n' > "$UV_OVERRIDE" | |
| uv pip install -e ".[quality]" | |
| uv pip install peft@git+https://github.com/huggingface/peft.git | |
| uv pip uninstall accelerate && uv pip install -U accelerate@git+https://github.com/huggingface/accelerate.git | |
| uv pip uninstall transformers huggingface_hub && UV_PRERELEASE=allow uv pip install -U transformers@git+https://github.com/huggingface/transformers.git | |
| - name: Environment | |
| run: | | |
| diffusers-cli env | |
| - name: Extract tests | |
| id: extract_tests | |
| run: | | |
| pattern=$(python utils/extract_tests_from_mixin.py --type ${{ matrix.module }}) | |
| echo "$pattern" > /tmp/test_pattern.txt | |
| echo "pattern_file=/tmp/test_pattern.txt" >> $GITHUB_OUTPUT | |
| - name: Run PyTorch CUDA tests | |
| env: | |
| HF_TOKEN: ${{ secrets.DIFFUSERS_HF_HUB_READ_TOKEN }} | |
| # https://pytorch.org/docs/stable/notes/randomness.html#avoiding-nondeterministic-algorithms | |
| CUBLAS_WORKSPACE_CONFIG: :16:8 | |
| run: | | |
| pattern=$(cat ${{ steps.extract_tests.outputs.pattern_file }}) | |
| if [ -z "$pattern" ]; then | |
| pytest -n 1 --max-worker-restart=0 --dist=loadfile -k "not Flax and not Onnx" tests/${{ matrix.module }} \ | |
| --make-reports=tests_torch_cuda_${{ matrix.module }} | |
| else | |
| pytest -n 1 --max-worker-restart=0 --dist=loadfile -k "not Flax and not Onnx and $pattern" tests/${{ matrix.module }} \ | |
| --make-reports=tests_torch_cuda_${{ matrix.module }} | |
| fi | |
| - name: Failure short reports | |
| if: ${{ failure() }} | |
| run: | | |
| cat reports/tests_torch_cuda_${{ matrix.module }}_stats.txt | |
| cat reports/tests_torch_cuda_${{ matrix.module }}_failures_short.txt | |
| - name: Test suite reports artifacts | |
| if: ${{ always() }} | |
| uses: actions/upload-artifact@v6 | |
| with: | |
| name: torch_cuda_test_reports_${{ matrix.module }} | |
| path: reports | |
| run_examples_tests: | |
| name: Examples PyTorch CUDA tests on Ubuntu | |
| needs: [check_code_quality, check_repository_consistency] | |
| runs-on: | |
| group: aws-g4dn-2xlarge | |
| container: | |
| image: diffusers/diffusers-pytorch-cuda | |
| options: --gpus all --shm-size "16gb" --ipc host | |
| steps: | |
| - name: Checkout diffusers | |
| uses: actions/checkout@v6 | |
| with: | |
| fetch-depth: 2 | |
| - name: NVIDIA-SMI | |
| run: | | |
| nvidia-smi | |
| - name: Install dependencies | |
| run: | | |
| printf 'tokenizers<0.23.0\ntorch==2.10.0\ntorchvision==0.25.0\ntorchaudio==2.10.0\n' > "$UV_OVERRIDE" | |
| uv pip uninstall transformers huggingface_hub && UV_PRERELEASE=allow uv pip install -U transformers@git+https://github.com/huggingface/transformers.git | |
| uv pip install -e ".[quality,training]" | |
| - name: Environment | |
| run: | | |
| diffusers-cli env | |
| - name: Run example tests on GPU | |
| env: | |
| HF_TOKEN: ${{ secrets.DIFFUSERS_HF_HUB_READ_TOKEN }} | |
| run: | | |
| uv pip install ".[training]" | |
| pytest -n 1 --max-worker-restart=0 --dist=loadfile --make-reports=examples_torch_cuda examples/ | |
| - name: Failure short reports | |
| if: ${{ failure() }} | |
| run: | | |
| cat reports/examples_torch_cuda_stats.txt | |
| cat reports/examples_torch_cuda_failures_short.txt | |
| - name: Test suite reports artifacts | |
| if: ${{ always() }} | |
| uses: actions/upload-artifact@v6 | |
| with: | |
| name: examples_test_reports | |
| path: reports | |