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Merge pull request huggingface#1 from ayushtues/consistency_unet
[WIP] Add Unet for consistency models
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‎.github/actions/setup-miniconda/action.yml‎

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- name: Get date
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id: get-date
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shell: bash
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run: echo "::set-output name=today::$(/bin/date -u '+%Y%m%d')d"
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run: echo "today=$(/bin/date -u '+%Y%m%d')d" >> $GITHUB_OUTPUT
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- name: Setup miniconda cache
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id: miniconda-cache
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uses: actions/cache@v2
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echo "There is ${AVAIL}KB free space left in $MOUNT, continue"
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fi
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fi
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done
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done

‎.github/workflows/pr_tests.yml‎

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runner: docker-cpu
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image: diffusers/diffusers-flax-cpu
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report: flax_cpu
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- name: Fast ONNXRuntime CPU tests
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framework: onnxruntime
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runner: docker-cpu
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image: diffusers/diffusers-onnxruntime-cpu
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report: onnx_cpu
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- name: PyTorch Example CPU tests
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framework: pytorch_examples
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runner: docker-cpu
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--make-reports=tests_${{ matrix.config.report }} \
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tests
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- name: Run fast ONNXRuntime CPU tests
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if: ${{ matrix.config.framework == 'onnxruntime' }}
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run: |
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python -m pytest -n 2 --max-worker-restart=0 --dist=loadfile \
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-s -v -k "Onnx" \
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--make-reports=tests_${{ matrix.config.report }} \
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tests/
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- name: Run example PyTorch CPU tests
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if: ${{ matrix.config.framework == 'pytorch_examples' }}
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run: |
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with:
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name: pr_${{ matrix.config.report }}_test_reports
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path: reports
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run_fast_tests_apple_m1:
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name: Fast PyTorch MPS tests on MacOS
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runs-on: [ self-hosted, apple-m1 ]
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steps:
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- name: Checkout diffusers
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uses: actions/checkout@v3
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with:
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fetch-depth: 2
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- name: Clean checkout
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shell: arch -arch arm64 bash {0}
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run: |
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git clean -fxd
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- name: Setup miniconda
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uses: ./.github/actions/setup-miniconda
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with:
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python-version: 3.9
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- name: Install dependencies
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shell: arch -arch arm64 bash {0}
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run: |
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${CONDA_RUN} python -m pip install --upgrade pip
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${CONDA_RUN} python -m pip install -e .[quality,test]
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${CONDA_RUN} python -m pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cpu
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${CONDA_RUN} python -m pip install accelerate --upgrade
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${CONDA_RUN} python -m pip install transformers --upgrade
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- name: Environment
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shell: arch -arch arm64 bash {0}
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run: |
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${CONDA_RUN} python utils/print_env.py
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- name: Run fast PyTorch tests on M1 (MPS)
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shell: arch -arch arm64 bash {0}
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env:
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HF_HOME: /System/Volumes/Data/mnt/cache
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HUGGING_FACE_HUB_TOKEN: ${{ secrets.HUGGING_FACE_HUB_TOKEN }}
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run: |
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${CONDA_RUN} python -m pytest -n 0 -s -v --make-reports=tests_torch_mps tests/
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- name: Failure short reports
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if: ${{ failure() }}
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run: cat reports/tests_torch_mps_failures_short.txt
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- name: Test suite reports artifacts
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if: ${{ always() }}
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uses: actions/upload-artifact@v2
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with:
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name: pr_torch_mps_test_reports
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path: reports

‎.github/workflows/push_tests_fast.yml‎

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name: Slow tests on main
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name: Fast tests on main
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on:
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push:
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with:
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name: pr_${{ matrix.config.report }}_test_reports
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path: reports
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run_fast_tests_apple_m1:
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name: Fast PyTorch MPS tests on MacOS
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runs-on: [ self-hosted, apple-m1 ]
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steps:
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- name: Checkout diffusers
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uses: actions/checkout@v3
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with:
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fetch-depth: 2
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- name: Clean checkout
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shell: arch -arch arm64 bash {0}
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run: |
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git clean -fxd
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- name: Setup miniconda
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uses: ./.github/actions/setup-miniconda
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with:
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python-version: 3.9
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- name: Install dependencies
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shell: arch -arch arm64 bash {0}
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run: |
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${CONDA_RUN} python -m pip install --upgrade pip
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${CONDA_RUN} python -m pip install -e .[quality,test]
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${CONDA_RUN} python -m pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cpu
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${CONDA_RUN} python -m pip install accelerate --upgrade
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${CONDA_RUN} python -m pip install transformers --upgrade
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- name: Environment
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shell: arch -arch arm64 bash {0}
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run: |
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${CONDA_RUN} python utils/print_env.py
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- name: Run fast PyTorch tests on M1 (MPS)
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shell: arch -arch arm64 bash {0}
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env:
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HF_HOME: /System/Volumes/Data/mnt/cache
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HUGGING_FACE_HUB_TOKEN: ${{ secrets.HUGGING_FACE_HUB_TOKEN }}
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run: |
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${CONDA_RUN} python -m pytest -n 0 -s -v --make-reports=tests_torch_mps tests/
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- name: Failure short reports
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if: ${{ failure() }}
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run: cat reports/tests_torch_mps_failures_short.txt
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- name: Test suite reports artifacts
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if: ${{ always() }}
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uses: actions/upload-artifact@v2
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with:
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name: pr_torch_mps_test_reports
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path: reports

‎.github/workflows/push_tests_mps.yml‎

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name: Fast mps tests on main
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on:
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push:
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branches:
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- main
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env:
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DIFFUSERS_IS_CI: yes
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HF_HOME: /mnt/cache
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OMP_NUM_THREADS: 8
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MKL_NUM_THREADS: 8
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PYTEST_TIMEOUT: 600
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RUN_SLOW: no
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jobs:
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run_fast_tests_apple_m1:
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name: Fast PyTorch MPS tests on MacOS
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runs-on: [ self-hosted, apple-m1 ]
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steps:
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- name: Checkout diffusers
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uses: actions/checkout@v3
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with:
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fetch-depth: 2
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- name: Clean checkout
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shell: arch -arch arm64 bash {0}
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run: |
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git clean -fxd
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- name: Setup miniconda
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uses: ./.github/actions/setup-miniconda
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with:
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python-version: 3.9
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- name: Install dependencies
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shell: arch -arch arm64 bash {0}
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run: |
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${CONDA_RUN} python -m pip install --upgrade pip
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${CONDA_RUN} python -m pip install -e .[quality,test]
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${CONDA_RUN} python -m pip install torch torchvision torchaudio
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${CONDA_RUN} python -m pip install accelerate --upgrade
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${CONDA_RUN} python -m pip install transformers --upgrade
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- name: Environment
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shell: arch -arch arm64 bash {0}
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run: |
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${CONDA_RUN} python utils/print_env.py
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- name: Run fast PyTorch tests on M1 (MPS)
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shell: arch -arch arm64 bash {0}
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env:
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HF_HOME: /System/Volumes/Data/mnt/cache
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HUGGING_FACE_HUB_TOKEN: ${{ secrets.HUGGING_FACE_HUB_TOKEN }}
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run: |
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${CONDA_RUN} python -m pytest -n 0 -s -v --make-reports=tests_torch_mps tests/
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- name: Failure short reports
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if: ${{ failure() }}
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run: cat reports/tests_torch_mps_failures_short.txt
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- name: Test suite reports artifacts
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if: ${{ always() }}
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uses: actions/upload-artifact@v2
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with:
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name: pr_torch_mps_test_reports
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path: reports

‎docs/source/en/_toctree.yml‎

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title: Text-guided image-inpainting
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- local: using-diffusers/depth2img
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title: Text-guided depth-to-image
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- local: using-diffusers/textual_inversion_inference
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title: Textual inversion
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- local: training/distributed_inference
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title: Distributed inference with multiple GPUs
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- local: using-diffusers/reusing_seeds
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title: Improve image quality with deterministic generation
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- local: using-diffusers/reproducibility
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title: Audio Diffusion
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- local: api/pipelines/audioldm
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title: AudioLDM
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- local: api/pipelines/controlnet
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title: ControlNet
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- local: api/pipelines/cycle_diffusion
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title: Cycle Diffusion
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- local: api/pipelines/dance_diffusion
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title: Self-Attention Guidance
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- local: api/pipelines/stable_diffusion/panorama
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title: MultiDiffusion Panorama
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- local: api/pipelines/stable_diffusion/controlnet
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title: Text-to-Image Generation with ControlNet Conditioning
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- local: api/pipelines/stable_diffusion/model_editing
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title: Text-to-Image Model Editing
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- local: api/pipelines/stable_diffusion/diffedit
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title: Euler scheduler
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- local: api/schedulers/heun
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title: Heun Scheduler
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- local: api/schedulers/multistep_dpm_solver_inverse
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title: Inverse Multistep DPM-Solver
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- local: api/schedulers/ipndm
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title: IPNDM
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- local: api/schedulers/lms_discrete

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