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‎.github/workflows/build_docker_images.yml‎

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id: file_changes
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uses: jitterbit/get-changed-files@v1
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with:
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format: 'space-delimited'
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format: "space-delimited"
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token: ${{ secrets.GITHUB_TOKEN }}
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- name: Build Changed Docker Images
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- diffusers-pytorch-cuda
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- diffusers-pytorch-compile-cuda
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- diffusers-pytorch-xformers-cuda
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- diffusers-pytorch-minimum-cuda
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- diffusers-flax-cpu
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- diffusers-flax-tpu
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- diffusers-onnxruntime-cpu

‎.github/workflows/nightly_tests.yml‎

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run: |
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pip install slack_sdk tabulate
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python utils/log_reports.py >> $GITHUB_STEP_SUMMARY
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torch_minimum_version_cuda_tests:
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name: Torch Minimum Version CUDA Tests
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runs-on:
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group: aws-g4dn-2xlarge
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container:
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image: diffusers/diffusers-pytorch-minimum-cuda
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options: --shm-size "16gb" --ipc host --gpus 0
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defaults:
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run:
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shell: bash
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steps:
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- name: Checkout diffusers
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uses: actions/checkout@v3
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with:
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fetch-depth: 2
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- name: Install dependencies
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run: |
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python -m venv /opt/venv && export PATH="/opt/venv/bin:$PATH"
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python -m uv pip install -e [quality,test]
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python -m uv pip install peft@git+https://github.com/huggingface/peft.git
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pip uninstall accelerate -y && python -m uv pip install -U accelerate@git+https://github.com/huggingface/accelerate.git
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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 PyTorch CUDA tests
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env:
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HF_TOKEN: ${{ secrets.HF_TOKEN }}
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# https://pytorch.org/docs/stable/notes/randomness.html#avoiding-nondeterministic-algorithms
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CUBLAS_WORKSPACE_CONFIG: :16:8
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run: |
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python -m pytest -n 1 --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_torch_minimum_version_cuda \
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tests/models/test_modelling_common.py \
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tests/pipelines/test_pipelines_common.py \
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tests/pipelines/test_pipeline_utils.py \
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tests/pipelines/test_pipelines.py \
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tests/pipelines/test_pipelines_auto.py \
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tests/schedulers/test_schedulers.py \
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tests/others
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- name: Failure short reports
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if: ${{ failure() }}
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run: |
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cat reports/tests_torch_minimum_version_cuda_stats.txt
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cat reports/tests_torch_minimum_version_cuda_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@v4
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with:
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name: torch_minimum_version_cuda_test_reports
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path: reports
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run_flax_tpu_tests:
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name: Nightly Flax TPU Tests
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runs-on:

‎.github/workflows/release_tests_fast.yml‎

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name: torch_cuda_${{ matrix.module }}_test_reports
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path: reports
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torch_minimum_version_cuda_tests:
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name: Torch Minimum Version CUDA Tests
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runs-on:
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group: aws-g4dn-2xlarge
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container:
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image: diffusers/diffusers-pytorch-minimum-cuda
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options: --shm-size "16gb" --ipc host --gpus 0
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defaults:
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run:
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shell: bash
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steps:
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- name: Checkout diffusers
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uses: actions/checkout@v3
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with:
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fetch-depth: 2
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- name: Install dependencies
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run: |
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python -m venv /opt/venv && export PATH="/opt/venv/bin:$PATH"
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python -m uv pip install -e [quality,test]
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python -m uv pip install peft@git+https://github.com/huggingface/peft.git
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pip uninstall accelerate -y && python -m uv pip install -U accelerate@git+https://github.com/huggingface/accelerate.git
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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 PyTorch CUDA tests
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env:
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HF_TOKEN: ${{ secrets.HF_TOKEN }}
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# https://pytorch.org/docs/stable/notes/randomness.html#avoiding-nondeterministic-algorithms
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CUBLAS_WORKSPACE_CONFIG: :16:8
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run: |
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python -m pytest -n 1 --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_torch_minimum_cuda \
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tests/models/test_modelling_common.py \
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tests/pipelines/test_pipelines_common.py \
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tests/pipelines/test_pipeline_utils.py \
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tests/pipelines/test_pipelines.py \
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tests/pipelines/test_pipelines_auto.py \
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tests/schedulers/test_schedulers.py \
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tests/others
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- name: Failure short reports
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if: ${{ failure() }}
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run: |
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cat reports/tests_torch_minimum_version_cuda_stats.txt
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cat reports/tests_torch_minimum_version_cuda_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@v4
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with:
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name: torch_minimum_version_cuda_test_reports
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path: reports
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flax_tpu_tests:
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name: Flax TPU Tests
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runs-on: docker-tpu

‎docker/diffusers-pytorch-minimum-cuda/Dockerfile‎

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FROM nvidia/cuda:12.1.0-runtime-ubuntu20.04
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LABEL maintainer="Hugging Face"
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LABEL repository="diffusers"
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ENV DEBIAN_FRONTEND=noninteractive
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ENV MINIMUM_SUPPORTED_TORCH_VERSION="2.0.0"
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ENV MINIMUM_SUPPORTED_TORCHVISION_VERSION=""
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ENV MINIMUM_SUPPORTED_TORCHAUDIO_VERSION=""
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RUN apt-get -y update \
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&& apt-get install -y software-properties-common \
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&& add-apt-repository ppa:deadsnakes/ppa
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RUN apt install -y bash \
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build-essential \
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git \
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git-lfs \
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curl \
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ca-certificates \
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libsndfile1-dev \
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libgl1 \
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python3.10 \
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python3.10-dev \
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python3-pip \
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python3.10-venv && \
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rm -rf /var/lib/apt/lists
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# make sure to use venv
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RUN python3.10 -m venv /opt/venv
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ENV PATH="/opt/venv/bin:$PATH"
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# pre-install the heavy dependencies (these can later be overridden by the deps from setup.py)
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RUN python3.10 -m pip install --no-cache-dir --upgrade pip uv==0.1.11 && \
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python3.10 -m uv pip install --no-cache-dir \
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torch==$MINIMUM_SUPPORTED_TORCH_VERSION \
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torchvision==$MINIMUM_SUPPORTED_TORCHVISION_VERSION \
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torchaudio==$MINIMUM_SUPPORTED_TORCHAUDIO_VERSION \
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invisible_watermark && \
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python3.10 -m pip install --no-cache-dir \
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accelerate \
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datasets \
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hf-doc-builder \
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huggingface-hub \
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hf_transfer \
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Jinja2 \
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librosa \
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numpy==1.26.4 \
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scipy \
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tensorboard \
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transformers \
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hf_transfer
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CMD ["/bin/bash"]

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