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* add AudioDiffusionPipeline and LatentAudioDiffusionPipeline * add docs to toc * fix tests * fix tests * fix tests * fix tests * fix tests * Update pr_tests.yml Fix tests * parent499ff34b3eauthor teticio <teticio@gmail.com> 1668765652 +0000 committer teticio <teticio@gmail.com> 1669041721 +0000 parent499ff34b3eauthor teticio <teticio@gmail.com> 1668765652 +0000 committer teticio <teticio@gmail.com> 1669041704 +0000 add colab notebook [Flax] Fix loading scheduler from subfolder (#1319) [FLAX] Fix loading scheduler from subfolder Fix/Enable all schedulers for in-painting (#1331) * inpaint fix k lms * onnox as well * up Correct path to schedlure (#1322) * [Examples] Correct path * uP Avoid nested fix-copies (#1332) * Avoid nested `# Copied from` statements during `make fix-copies` * style Fix img2img speed with LMS-Discrete Scheduler (#896) Casting `self.sigmas` into a different dtype (the one of original_samples) is not advisable. In my img2img pipeline this leads to a long running time in the `integrate.quad` call later on- by long I mean more than 10x slower. Co-authored-by: Anton Lozhkov <anton@huggingface.co> Fix the order of casts for onnx inpainting (#1338) Legacy Inpainting Pipeline for Onnx Models (#1237) * Add legacy inpainting pipeline compatibility for onnx * remove commented out line * Add onnx legacy inpainting test * Fix slow decorators * pep8 styling * isort styling * dummy object * ordering consistency * style * docstring styles * Refactor common prompt encoding pattern * Update tests to permanent repository home * support all available schedulers until ONNX IO binding is available Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com> * updated styling from PR suggested feedback Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com> Jax infer support negative prompt (#1337) * support negative prompts in sd jax pipeline * pass batched neg_prompt * only encode when negative prompt is None Co-authored-by: Juan Acevedo <jfacevedo@google.com> Update README.md: Minor change to Imagic code snippet, missing dir error (#1347) Minor change to Imagic Readme Missing dir causes an error when running the example code. make style change the sample model (#1352) * Update alt_diffusion.mdx * Update alt_diffusion.mdx Add bit diffusion [WIP] (#971) * Create bit_diffusion.py Bit diffusion based on the paper, arXiv:2208.04202, Chen2022AnalogBG * adding bit diffusion to new branch ran tests * tests * tests * tests * tests * removed test folders + added to README * Update README.md Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * move Mel to module in pipeline construction, make librosa optional * fix imports * fix copy & paste error in comment * fix style * add missing register_to_config * fix class docstrings * fix class docstrings * tweak docstrings * tweak docstrings * update slow test * put trailing commas back * respect alphabetical order * remove LatentAudioDiffusion, make vqvae optional * move Mel from models back to pipelines :-) * allow loading of pretrained audiodiffusion models * fix tests * fix dummies * remove reference to latent_audio_diffusion in docs * unused import * inherit from SchedulerMixin to make loadable * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
156 lines
4.5 KiB
YAML
156 lines
4.5 KiB
YAML
name: Run fast tests
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on:
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pull_request:
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branches:
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- main
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concurrency:
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group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }}
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cancel-in-progress: true
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env:
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DIFFUSERS_IS_CI: yes
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OMP_NUM_THREADS: 4
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MKL_NUM_THREADS: 4
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PYTEST_TIMEOUT: 60
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jobs:
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run_fast_tests:
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strategy:
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fail-fast: false
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matrix:
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config:
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- name: Fast PyTorch CPU tests on Ubuntu
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framework: pytorch
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runner: docker-cpu
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image: diffusers/diffusers-pytorch-cpu
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report: torch_cpu
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- name: Fast Flax CPU tests on Ubuntu
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framework: flax
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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 on Ubuntu
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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: ${{ matrix.config.name }}
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runs-on: ${{ matrix.config.runner }}
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container:
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image: ${{ matrix.config.image }}
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options: --shm-size "16gb" --ipc host -v /mnt/hf_cache:/mnt/cache/
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defaults:
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run:
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shell: bash
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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: Install dependencies
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run: |
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apt-get update && apt-get install libsndfile1-dev -y
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python -m pip install -e .[quality,test]
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python -m pip install git+https://github.com/huggingface/accelerate
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python -m pip install -U git+https://github.com/huggingface/transformers
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- name: Environment
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run: |
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python utils/print_env.py
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- name: Run fast PyTorch CPU tests
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if: ${{ matrix.config.framework == 'pytorch' }}
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run: |
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python -m pytest -n 2 --max-worker-restart=0 --dist=loadfile \
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-s -v -k "not Flax and not Onnx" \
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--make-reports=tests_${{ matrix.config.report }} \
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tests/
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- name: Run fast Flax TPU tests
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if: ${{ matrix.config.framework == 'flax' }}
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run: |
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python -m pytest -n 2 --max-worker-restart=0 --dist=loadfile \
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-s -v -k "Flax" \
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--make-reports=tests_${{ 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: Failure short reports
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if: ${{ failure() }}
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run: cat reports/tests_${{ matrix.config.report }}_failures_short.txt
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- name: Test suite reports artifacts
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if: ${{ always() }}
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uses: actions/upload-artifact@v2
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with:
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name: pr_${{ 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 git+https://github.com/huggingface/accelerate
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${CONDA_RUN} python -m pip install -U git+https://github.com/huggingface/transformers
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- name: Environment
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shell: arch -arch arm64 bash {0}
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run: |
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${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
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