From 95cfe228666446988a6019e5c40593d28c9dbaea Mon Sep 17 00:00:00 2001 From: Mert <101130780+mertalev@users.noreply.github.com> Date: Sun, 21 Jan 2024 18:22:39 -0500 Subject: [PATCH] feat(ml)!: cuda and openvino acceleration (#5619) * cuda and openvino ep, refactor, update dockerfile * updated workflow * typing fixes * added tests * updated ml test gh action * updated README * updated docker-compose * added compute to hwaccel.yml * updated gh matrix updated gh matrix updated gh matrix updated gh matrix updated gh matrix give up * remove cuda/arm64 build * add hwaccel image tags to docker-compose * remove unnecessary quotes * add suffix to git tag * fixed kwargs in base model * armnn ld_library_path * update pyproject.toml * add armnn workflow * formatting * consolidate hwaccel files, update docker compose * update hw transcoding docs * add ml hwaccel docs * update dev and prod docker-compose * added armnn prerequisite docs * support 3.10 * updated docker-compose comments * formatting * test coverage * don't set arena extend strategy for openvino * working openvino * formatting * fix dockerfile * added type annotation * add wsl configuration for openvino * updated lock file * copy python3 * comment out extends section * fix platforms * simplify workflow suffix tagging * simplify aio transcoding doc * update docs and workflow for `hwaccel.yml` change * revert docs --- .github/workflows/docker.yml | 49 +- .github/workflows/prepare-release.yml | 3 +- .github/workflows/test.yml | 2 +- docker/docker-compose.dev.yml | 9 +- docker/docker-compose.prod.yml | 9 +- docker/docker-compose.yml | 11 +- docker/hwaccel-rkmpp.yml | 24 - docker/hwaccel.ml.yml | 47 ++ docker/hwaccel.transcoding.yml | 59 +++ docker/hwaccel.yml | 22 - docker/mlaccel-armnn.yml | 11 - machine-learning/Dockerfile | 86 +-- machine-learning/README.md | 7 +- machine-learning/app/config.py | 4 +- machine-learning/app/conftest.py | 12 + machine-learning/app/main.py | 2 +- machine-learning/app/models/base.py | 165 ++++-- machine-learning/app/models/clip.py | 4 +- machine-learning/app/models/constants.py | 7 + machine-learning/app/schemas.py | 4 +- machine-learning/app/test_main.py | 226 +++++++- machine-learning/poetry.lock | 631 +++++++++++++---------- machine-learning/pyproject.toml | 28 +- 23 files changed, 962 insertions(+), 460 deletions(-) delete mode 100644 docker/hwaccel-rkmpp.yml create mode 100644 docker/hwaccel.ml.yml create mode 100644 docker/hwaccel.transcoding.yml delete mode 100644 docker/hwaccel.yml delete mode 100644 docker/mlaccel-armnn.yml diff --git a/.github/workflows/docker.yml b/.github/workflows/docker.yml index 4bebc75028..10ed06510f 100644 --- a/.github/workflows/docker.yml +++ b/.github/workflows/docker.yml @@ -25,15 +25,38 @@ jobs: fail-fast: false matrix: include: - - context: "machine-learning" - file: "machine-learning/Dockerfile" - image: "immich-machine-learning" - platforms: "linux/amd64,linux/arm64" - - context: "." - file: "server/Dockerfile" - image: "immich-server" - platforms: "linux/arm64,linux/amd64" + - image: immich-machine-learning + context: machine-learning + file: machine-learning/Dockerfile + platforms: linux/amd64,linux/arm64 + device: cpu + - image: immich-machine-learning + context: machine-learning + file: machine-learning/Dockerfile + platforms: linux/amd64 + device: cuda + suffix: -cuda + + - image: immich-machine-learning + context: machine-learning + file: machine-learning/Dockerfile + platforms: linux/amd64 + device: openvino + suffix: -openvino + + - image: immich-machine-learning + context: machine-learning + file: machine-learning/Dockerfile + platforms: linux/arm64 + device: armnn + suffix: -armnn + + - image: immich-server + context: . + file: server/Dockerfile + platforms: linux/amd64,linux/arm64 + device: cpu steps: - name: Checkout uses: actions/checkout@v4 @@ -79,12 +102,12 @@ jobs: name=altran1502/${{matrix.image}},enable=${{ github.event_name == 'release' }} tags: | # Tag with branch name - type=ref,event=branch + type=ref,event=branch,suffix=${{ matrix.suffix }} # Tag with pr-number - type=ref,event=pr + type=ref,event=pr,suffix=${{ matrix.suffix }} # Tag with git tag on release - type=ref,event=tag - type=raw,value=release,enable=${{ github.event_name == 'release' }} + type=ref,event=tag,suffix=${{ matrix.suffix }} + type=raw,value=release,enable=${{ github.event_name == 'release' }},suffix=${{ matrix.suffix }} - name: Determine build cache output id: cache-target @@ -106,5 +129,7 @@ jobs: push: ${{ !github.event.pull_request.head.repo.fork }} cache-from: type=registry,ref=ghcr.io/${{ github.repository_owner }}/immich-build-cache:${{matrix.image}} cache-to: ${{ steps.cache-target.outputs.cache-to }} + build-args: | + DEVICE=${{ matrix.device }} tags: ${{ steps.metadata.outputs.tags }} labels: ${{ steps.metadata.outputs.labels }} diff --git a/.github/workflows/prepare-release.yml b/.github/workflows/prepare-release.yml index a0f851c44f..b98c1563a9 100644 --- a/.github/workflows/prepare-release.yml +++ b/.github/workflows/prepare-release.yml @@ -83,5 +83,6 @@ jobs: files: | docker/docker-compose.yml docker/example.env - docker/hwaccel.yml + docker/hwaccel.ml.yml + docker/hwaccel.transcoding.yml *.apk diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml index 445f0b1af7..baf904252a 100644 --- a/.github/workflows/test.yml +++ b/.github/workflows/test.yml @@ -225,7 +225,7 @@ jobs: cache: "poetry" - name: Install dependencies run: | - poetry install --with dev + poetry install --with dev --with cpu - name: Lint with ruff run: | poetry run ruff check --output-format=github app export diff --git a/docker/docker-compose.dev.yml b/docker/docker-compose.dev.yml index e87d77fc4e..f343d11aba 100644 --- a/docker/docker-compose.dev.yml +++ b/docker/docker-compose.dev.yml @@ -44,8 +44,8 @@ services: command: [ "/usr/src/app/bin/immich-dev", "microservices" ] <<: *server-common # extends: - # file: hwaccel.yml - # service: hwaccel + # file: hwaccel.transcoding.yml + # service: cpu # set to one of [nvenc, quicksync, rkmpp, vaapi, vaapi-wsl] for accelerated transcoding ports: - 9231:9230 depends_on: @@ -79,9 +79,14 @@ services: immich-machine-learning: container_name: immich_machine_learning image: immich-machine-learning-dev:latest + # extends: + # file: hwaccel.ml.yml + # service: cpu # set to one of [armnn, cuda, openvino, openvino-wsl] for accelerated inference build: context: ../machine-learning dockerfile: Dockerfile + args: + - DEVICE=cpu # set to one of [armnn, cuda, openvino, openvino-wsl] for accelerated inference ports: - 3003:3003 volumes: diff --git a/docker/docker-compose.prod.yml b/docker/docker-compose.prod.yml index d8ecb7dd66..306626a3d9 100644 --- a/docker/docker-compose.prod.yml +++ b/docker/docker-compose.prod.yml @@ -30,8 +30,8 @@ services: command: [ "./start-microservices.sh" ] <<: *server-common # extends: - # file: hwaccel.yml - # service: hwaccel + # file: hwaccel.transcoding.yml + # service: cpu # set to one of [nvenc, quicksync, rkmpp, vaapi, vaapi-wsl] for accelerated transcoding depends_on: - redis - database @@ -40,9 +40,14 @@ services: immich-machine-learning: container_name: immich_machine_learning image: immich-machine-learning:latest + # extends: + # file: hwaccel.ml.yml + # service: cpu # set to one of [armnn, cuda, openvino, openvino-wsl] for accelerated inference build: context: ../machine-learning dockerfile: Dockerfile + args: + - DEVICE=cpu # set to one of [armnn, cuda, openvino, openvino-wsl] for accelerated inference volumes: - model-cache:/cache env_file: diff --git a/docker/docker-compose.yml b/docker/docker-compose.yml index d05b3bcc02..952ac1911b 100644 --- a/docker/docker-compose.yml +++ b/docker/docker-compose.yml @@ -30,9 +30,9 @@ services: immich-microservices: container_name: immich_microservices image: ghcr.io/immich-app/immich-server:${IMMICH_VERSION:-release} - # extends: - # file: hwaccel.yml - # service: hwaccel + # extends: # uncomment this section for hardware acceleration - see https://immich.app/docs/features/hardware-transcoding + # file: hwaccel.transcoding.yml + # service: cpu # set to one of [nvenc, quicksync, rkmpp, vaapi, vaapi-wsl] for accelerated transcoding command: [ "start.sh", "microservices" ] volumes: - ${UPLOAD_LOCATION}:/usr/src/app/upload @@ -46,7 +46,12 @@ services: immich-machine-learning: container_name: immich_machine_learning + # For hardware acceleration, add one of -[armnn, cuda, openvino] to the image tag. + # Example tag: ${IMMICH_VERSION:-release}-cuda image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release} + # extends: # uncomment this section for hardware acceleration - see https://immich.app/docs/features/ml-hardware-acceleration + # file: hwaccel.ml.yml + # service: cpu # set to one of [armnn, cuda, openvino, openvino-wsl] for accelerated inference - use the `-wsl` version for WSL2 where applicable volumes: - model-cache:/cache env_file: diff --git a/docker/hwaccel-rkmpp.yml b/docker/hwaccel-rkmpp.yml deleted file mode 100644 index 6dfc527ffb..0000000000 --- a/docker/hwaccel-rkmpp.yml +++ /dev/null @@ -1,24 +0,0 @@ -version: "3.8" - -# Hardware acceleration for transcoding using RKMPP for Rockchip SOCs -# This is only needed if you want to use hardware acceleration for transcoding. -# Supported host OS is Ubuntu Jammy 22.04 with custom ffmpeg from ppa:liujianfeng1994/rockchip-multimedia - -services: - hwaccel: - security_opt: # enables full access to /sys and /proc, still far better than privileged: true - - systempaths=unconfined - - apparmor=unconfined - group_add: - - video - devices: - - /dev/rga:/dev/rga - - /dev/dri:/dev/dri - - /dev/dma_heap:/dev/dma_heap - - /dev/mpp_service:/dev/mpp_service - volumes: - - /usr/bin/ffmpeg:/usr/bin/ffmpeg_mpp:ro - - /lib/aarch64-linux-gnu:/lib/ffmpeg-mpp:ro - - /lib/aarch64-linux-gnu/libblas.so.3:/lib/ffmpeg-mpp/libblas.so.3:ro # symlink is resolved by mounting - - /lib/aarch64-linux-gnu/liblapack.so.3:/lib/ffmpeg-mpp/liblapack.so.3:ro # symlink is resolved by mounting - - /lib/aarch64-linux-gnu/pulseaudio/libpulsecommon-15.99.so:/lib/ffmpeg-mpp/libpulsecommon-15.99.so:ro diff --git a/docker/hwaccel.ml.yml b/docker/hwaccel.ml.yml new file mode 100644 index 0000000000..d6afbb4c44 --- /dev/null +++ b/docker/hwaccel.ml.yml @@ -0,0 +1,47 @@ +version: "3.8" + +# Configurations for hardware-accelerated machine learning + +# If using Unraid or another platform that doesn't allow multiple Compose files, +# you can inline the config for a backend by copying its contents +# into the immich-machine-learning service in the docker-compose.yml file. + +# See https://immich.app/docs/features/ml-hardware-acceleration for info on usage. + +services: + armnn: + devices: + - /dev/mali0:/dev/mali0 + volumes: + - /lib/firmware/mali_csffw.bin:/lib/firmware/mali_csffw.bin:ro # Mali firmware for your chipset (not always required depending on the driver) + - /usr/lib/libmali.so:/usr/lib/libmali.so:ro # Mali driver for your chipset (always required) + + cpu: + + cuda: + deploy: + resources: + reservations: + devices: + - driver: nvidia + count: 1 + capabilities: + - gpu + - compute + - video + + openvino: + device_cgroup_rules: + - "c 189:* rmw" + devices: + - /dev/dri:/dev/dri + volumes: + - /dev/bus/usb:/dev/bus/usb + + openvino-wsl: + devices: + - /dev/dri:/dev/dri + - /dev/dxg:/dev/dxg + volumes: + - /dev/bus/usb:/dev/bus/usb + - /usr/lib/wsl:/usr/lib/wsl diff --git a/docker/hwaccel.transcoding.yml b/docker/hwaccel.transcoding.yml new file mode 100644 index 0000000000..9ca793f085 --- /dev/null +++ b/docker/hwaccel.transcoding.yml @@ -0,0 +1,59 @@ +version: "3.8" + +# Configurations for hardware-accelerated transcoding + +# If using Unraid or another platform that doesn't allow multiple Compose files, +# you can inline the config for a backend by copying its contents +# into the immich-microservices service in the docker-compose.yml file. + +# See https://immich.app/docs/features/hardware-transcoding for more info on using hardware transcoding. + +services: + cpu: + + nvenc: + deploy: + resources: + reservations: + devices: + - driver: nvidia + count: 1 + capabilities: + - gpu + - compute + - video + + quicksync: + devices: + - /dev/dri:/dev/dri + + rkmpp: + security_opt: # enables full access to /sys and /proc, still far better than privileged: true + - systempaths=unconfined + - apparmor=unconfined + group_add: + - video + devices: + - /dev/rga:/dev/rga + - /dev/dri:/dev/dri + - /dev/dma_heap:/dev/dma_heap + - /dev/mpp_service:/dev/mpp_service + volumes: + - /usr/bin/ffmpeg:/usr/bin/ffmpeg_mpp:ro + - /lib/aarch64-linux-gnu:/lib/ffmpeg-mpp:ro + - /lib/aarch64-linux-gnu/libblas.so.3:/lib/ffmpeg-mpp/libblas.so.3:ro # symlink is resolved by mounting + - /lib/aarch64-linux-gnu/liblapack.so.3:/lib/ffmpeg-mpp/liblapack.so.3:ro # symlink is resolved by mounting + - /lib/aarch64-linux-gnu/pulseaudio/libpulsecommon-15.99.so:/lib/ffmpeg-mpp/libpulsecommon-15.99.so:ro + + vaapi: + devices: + - /dev/dri:/dev/dri + + vaapi-wsl: # use this for VAAPI if you're running Immich in WSL2 + devices: + - /dev/dri:/dev/dri + volumes: + - /usr/lib/wsl:/usr/lib/wsl + environment: + - LD_LIBRARY_PATH=/usr/lib/wsl/lib + - LIBVA_DRIVER_NAME=d3d12 diff --git a/docker/hwaccel.yml b/docker/hwaccel.yml deleted file mode 100644 index e957efb751..0000000000 --- a/docker/hwaccel.yml +++ /dev/null @@ -1,22 +0,0 @@ -version: "3.8" - -# Hardware acceleration for transcoding - Optional -# This is only needed if you want to use hardware acceleration for transcoding. -# Depending on your hardware, you should uncomment the relevant lines below. - -services: - hwaccel: - # devices: - # - /dev/dri:/dev/dri # If using Intel QuickSync or VAAPI - # volumes: - # - /usr/lib/wsl:/usr/lib/wsl # If using VAAPI in WSL2 - # environment: - # - LD_LIBRARY_PATH=/usr/lib/wsl/lib # If using VAAPI in WSL2 - # - LIBVA_DRIVER_NAME=d3d12 # If using VAAPI in WSL2 - # deploy: # Uncomment this section if using NVIDIA GPU - # resources: - # reservations: - # devices: - # - driver: nvidia - # count: 1 - # capabilities: [gpu,video] diff --git a/docker/mlaccel-armnn.yml b/docker/mlaccel-armnn.yml deleted file mode 100644 index fc9aa2521e..0000000000 --- a/docker/mlaccel-armnn.yml +++ /dev/null @@ -1,11 +0,0 @@ -version: "3.8" - -# ML acceleration on supported Mali ARM GPUs using ARM-NN - -services: - mlaccel: - devices: - - /dev/mali0:/dev/mali0 - volumes: - - /lib/firmware/mali_csffw.bin:/lib/firmware/mali_csffw.bin:ro # Mali firmware for your chipset (not always required depending on the driver) - - /usr/lib/libmali.so:/usr/lib/libmali.so:ro # Mali driver for your chipset (always required) diff --git a/machine-learning/Dockerfile b/machine-learning/Dockerfile index d0af8f95aa..2446311405 100644 --- a/machine-learning/Dockerfile +++ b/machine-learning/Dockerfile @@ -1,43 +1,74 @@ -FROM python:3.11-bookworm@sha256:497c00ec2cff14316a6859c4e30fc88e7ab1f11dd254fb43b8f4b201ca657596 as builder +ARG DEVICE=cpu +FROM python:3.11-bookworm@sha256:ba7a7ac30c38e119c4304f98ef0e188f90f4f67a958bb6899da9defb99bfb471 as builder-cpu + +FROM openvino/ubuntu22_runtime:2023.1.0 as builder-openvino +USER root +RUN apt-get update && apt-get install -y --no-install-recommends python3-dev + +FROM builder-cpu as builder-cuda + +FROM builder-cpu as builder-armnn + +ENV ARMNN_PATH=/opt/armnn +COPY ann /opt/ann +RUN mkdir /opt/armnn && \ + curl -SL "https://github.com/ARM-software/armnn/releases/download/v23.11/ArmNN-linux-aarch64.tar.gz" | tar -zx -C /opt/armnn && \ + cd /opt/ann && \ + sh build.sh + +FROM builder-${DEVICE} as builder + +ARG DEVICE ENV PYTHONDONTWRITEBYTECODE=1 \ PYTHONUNBUFFERED=1 \ - PIP_NO_CACHE_DIR=true + PIP_NO_CACHE_DIR=true \ + VIRTUAL_ENV="/opt/venv" \ + PATH="/opt/venv/bin:${PATH}" RUN pip install --upgrade pip && pip install poetry RUN poetry config installer.max-workers 10 && \ - poetry config virtualenvs.create false -RUN python -m venv /opt/venv -ENV VIRTUAL_ENV="/opt/venv" PATH="/opt/venv/bin:${PATH}" + poetry config virtualenvs.create false +RUN python3 -m venv /opt/venv COPY poetry.lock pyproject.toml ./ -RUN poetry install --sync --no-interaction --no-ansi --no-root --only main +RUN poetry install --sync --no-interaction --no-ansi --no-root --with ${DEVICE} --without dev +FROM python:3.11-slim-bookworm@sha256:cfd7ed5c11a88ce533d69a1da2fd932d647f9eb6791c5b4ddce081aedf7f7876 as prod-cpu -ARG TARGETPLATFORM -ENV ARMNN_PATH=/opt/armnn -COPY ann /opt/ann -RUN if [ "$TARGETPLATFORM" = "linux/arm64" ]; then \ - mkdir /opt/armnn && \ - curl -SL "https://github.com/ARM-software/armnn/releases/download/v23.11/ArmNN-linux-aarch64.tar.gz" | tar -zx -C /opt/armnn && \ - cd /opt/ann && \ - sh build.sh; \ - else \ - mkdir /opt/armnn; \ - fi +FROM openvino/ubuntu22_runtime:2023.1.0 as prod-openvino +USER root +FROM nvidia/cuda:11.8.0-cudnn8-runtime-ubuntu22.04 as prod-cuda -FROM python:3.11-slim-bookworm@sha256:637774748f62b832dc11e7b286e48cd716727ed04b45a0322776c01bc526afc3 -ARG TARGETPLATFORM -RUN apt-get update && apt-get install -y --no-install-recommends tini libmimalloc2.0 && rm -rf /var/lib/apt/lists/* +COPY --from=builder-cuda /usr/local/bin/python3 /usr/local/bin/python3 +COPY --from=builder-cuda /usr/local/lib/python3.11 /usr/local/lib/python3.11 +COPY --from=builder-cuda /usr/local/lib/libpython3.11.so /usr/local/lib/libpython3.11.so -RUN if [ "$TARGETPLATFORM" = "linux/arm64" ]; then \ - apt-get update && apt-get install -y --no-install-recommends ocl-icd-libopencl1 mesa-opencl-icd && \ +FROM prod-cpu as prod-armnn + +ENV LD_LIBRARY_PATH=/opt/armnn + +RUN apt-get update && apt-get install -y --no-install-recommends ocl-icd-libopencl1 mesa-opencl-icd && \ rm -rf /var/lib/apt/lists/* && \ mkdir --parents /etc/OpenCL/vendors && \ - echo "/usr/lib/libmali.so" > /etc/OpenCL/vendors/mali.icd && \ - mkdir /opt/armnn; \ - fi + echo "/usr/lib/libmali.so" > /etc/OpenCL/vendors/mali.icd + +COPY --from=builder-armnn \ + /opt/armnn/libarmnn.so.?? \ + /opt/armnn/libarmnnOnnxParser.so.?? \ + /opt/armnn/libarmnnDeserializer.so.?? \ + /opt/armnn/libarmnnTfLiteParser.so.?? \ + /opt/armnn/libprotobuf.so.?.??.?.? \ + /opt/ann/libann.s[o] \ + /opt/ann/build.sh \ + /opt/armnn/ + +FROM prod-${DEVICE} as prod + +RUN apt-get update && \ + apt-get install -y --no-install-recommends tini libmimalloc2.0 && \ + rm -rf /var/lib/apt/lists/* WORKDIR /usr/src/app ENV NODE_ENV=production \ @@ -45,8 +76,7 @@ ENV NODE_ENV=production \ PYTHONDONTWRITEBYTECODE=1 \ PYTHONUNBUFFERED=1 \ PATH="/opt/venv/bin:$PATH" \ - PYTHONPATH=/usr/src \ - LD_LIBRARY_PATH=/opt/armnn + PYTHONPATH=/usr/src # prevent core dumps RUN echo "hard core 0" >> /etc/security/limits.conf && \ @@ -54,10 +84,8 @@ RUN echo "hard core 0" >> /etc/security/limits.conf && \ echo 'ulimit -S -c 0 > /dev/null 2>&1' >> /etc/profile COPY --from=builder /opt/venv /opt/venv -COPY --from=builder /opt/armnn/libarmnn.so.?? /opt/armnn/libarmnnOnnxParser.so.?? /opt/armnn/libarmnnDeserializer.so.?? /opt/armnn/libarmnnTfLiteParser.so.?? /opt/armnn/libprotobuf.so.?.??.?.? /opt/ann/libann.s[o] /opt/ann/build.sh /opt/armnn COPY ann/ann.py /usr/src/ann/ann.py COPY start.sh log_conf.json ./ COPY app . - ENTRYPOINT ["tini", "--"] CMD ["./start.sh"] diff --git a/machine-learning/README.md b/machine-learning/README.md index ad06f009bb..4ff09fa0a5 100644 --- a/machine-learning/README.md +++ b/machine-learning/README.md @@ -6,10 +6,11 @@ # Setup This project uses [Poetry](https://python-poetry.org/docs/#installation), so be sure to install it first. -Running `poetry install --no-root --with dev` will install everything you need in an isolated virtual environment. +Running `poetry install --no-root --with dev --with cpu` will install everything you need in an isolated virtual environment. +CUDA and OpenVINO are supported as acceleration APIs. To use them, you can replace `--with cpu` with either of `--with cuda` or `--with openvino`. To add or remove dependencies, you can use the commands `poetry add $PACKAGE_NAME` and `poetry remove $PACKAGE_NAME`, respectively. -Be sure to commit the `poetry.lock` and `pyproject.toml` files to reflect any changes in dependencies. +Be sure to commit the `poetry.lock` and `pyproject.toml` files with `poetry lock --no-update` to reflect any changes in dependencies. # Load Testing @@ -20,4 +21,4 @@ You can change the models or adjust options like score thresholds through the Lo To get started, you can simply run `locust --web-host 127.0.0.1` and open `localhost:8089` in a browser to access the UI. See the [Locust documentation](https://docs.locust.io/en/stable/index.html) for more info on running Locust. -Note that in Locust's jargon, concurrency is measured in `users`, and each user runs one task at a time. To achieve a particular per-endpoint concurrency, multiply that number by the number of endpoints to be queried. For example, if there are 3 endpoints and you want each of them to receive 8 requests at a time, you should set the number of users to 24. \ No newline at end of file +Note that in Locust's jargon, concurrency is measured in `users`, and each user runs one task at a time. To achieve a particular per-endpoint concurrency, multiply that number by the number of endpoints to be queried. For example, if there are 3 endpoints and you want each of them to receive 8 requests at a time, you should set the number of users to 24. diff --git a/machine-learning/app/config.py b/machine-learning/app/config.py index a34f47f2f1..8c588ea548 100644 --- a/machine-learning/app/config.py +++ b/machine-learning/app/config.py @@ -24,8 +24,8 @@ class Settings(BaseSettings): workers: int = 1 test_full: bool = False request_threads: int = os.cpu_count() or 4 - model_inter_op_threads: int = 1 - model_intra_op_threads: int = 2 + model_inter_op_threads: int = 0 + model_intra_op_threads: int = 0 ann: bool = True class Config: diff --git a/machine-learning/app/conftest.py b/machine-learning/app/conftest.py index da43732060..efd5da5f38 100644 --- a/machine-learning/app/conftest.py +++ b/machine-learning/app/conftest.py @@ -93,3 +93,15 @@ def clip_tokenizer_cfg() -> dict[str, Any]: "tokenizer_class": "CLIPTokenizer", "unk_token": "<|endoftext|>", } + + +@pytest.fixture(scope="function") +def providers(request: pytest.FixtureRequest) -> Iterator[dict[str, Any]]: + marker = request.node.get_closest_marker("providers") + if marker is None: + raise ValueError("Missing marker 'providers'") + + providers = marker.args[0] + with mock.patch("app.models.base.ort.get_available_providers") as mocked: + mocked.return_value = providers + yield providers diff --git a/machine-learning/app/main.py b/machine-learning/app/main.py index febf8df1bd..a4afa841ef 100644 --- a/machine-learning/app/main.py +++ b/machine-learning/app/main.py @@ -131,7 +131,7 @@ async def load(model: InferenceModel) -> InferenceModel: await loop.run_in_executor(thread_pool, _load) return model except (OSError, InvalidProtobuf, BadZipFile, NoSuchFile): - log.warn( + log.warning( ( f"Failed to load {model.model_type.replace('_', ' ')} model '{model.model_name}'." "Clearing cache and retrying." diff --git a/machine-learning/app/models/base.py b/machine-learning/app/models/base.py index 4f819abd00..08a2f5f6b9 100644 --- a/machine-learning/app/models/base.py +++ b/machine-learning/app/models/base.py @@ -11,6 +11,7 @@ from huggingface_hub import snapshot_download from typing_extensions import Buffer import ann.ann +from app.models.constants import SUPPORTED_PROVIDERS from ..config import get_cache_dir, get_hf_model_name, log, settings from ..schemas import ModelType @@ -24,36 +25,17 @@ class InferenceModel(ABC): self, model_name: str, cache_dir: Path | str | None = None, - inter_op_num_threads: int = settings.model_inter_op_threads, - intra_op_num_threads: int = settings.model_intra_op_threads, + providers: list[str] | None = None, + provider_options: list[dict[str, Any]] | None = None, + sess_options: ort.SessionOptions | None = None, **model_kwargs: Any, ) -> None: - self.model_name = model_name self.loaded = False - self._cache_dir = Path(cache_dir) if cache_dir is not None else None - self.providers = model_kwargs.pop("providers", ["CPUExecutionProvider"]) - # don't pre-allocate more memory than needed - self.provider_options = model_kwargs.pop( - "provider_options", [{"arena_extend_strategy": "kSameAsRequested"}] * len(self.providers) - ) - log.debug( - ( - f"Setting '{self.model_name}' execution providers to {self.providers} " - "in descending order of preference" - ), - ) - log.debug(f"Setting execution provider options to {self.provider_options}") - self.sess_options = PicklableSessionOptions() - # avoid thread contention between models - if inter_op_num_threads > 1: - self.sess_options.execution_mode = ort.ExecutionMode.ORT_PARALLEL - - log.debug(f"Setting execution_mode to {self.sess_options.execution_mode.name}") - log.debug(f"Setting inter_op_num_threads to {inter_op_num_threads}") - log.debug(f"Setting intra_op_num_threads to {intra_op_num_threads}") - self.sess_options.inter_op_num_threads = inter_op_num_threads - self.sess_options.intra_op_num_threads = intra_op_num_threads - self.sess_options.enable_cpu_mem_arena = False + self.model_name = model_name + self.cache_dir = Path(cache_dir) if cache_dir is not None else self.cache_dir_default + self.providers = providers if providers is not None else self.providers_default + self.provider_options = provider_options if provider_options is not None else self.provider_options_default + self.sess_options = sess_options if sess_options is not None else self.sess_options_default def download(self) -> None: if not self.cached: @@ -95,33 +77,9 @@ class InferenceModel(ABC): def _load(self) -> None: ... - @property - def model_type(self) -> ModelType: - return self._model_type - - @property - def cache_dir(self) -> Path: - return self._cache_dir if self._cache_dir is not None else get_cache_dir(self.model_name, self.model_type) - - @cache_dir.setter - def cache_dir(self, cache_dir: Path) -> None: - self._cache_dir = cache_dir - - @property - def cached(self) -> bool: - return self.cache_dir.exists() and any(self.cache_dir.iterdir()) - - @classmethod - def from_model_type(cls, model_type: ModelType, model_name: str, **model_kwargs: Any) -> InferenceModel: - subclasses = {subclass._model_type: subclass for subclass in cls.__subclasses__()} - if model_type not in subclasses: - raise ValueError(f"Unsupported model type: {model_type}") - - return subclasses[model_type](model_name, **model_kwargs) - def clear_cache(self) -> None: if not self.cache_dir.exists(): - log.warn( + log.warning( f"Attempted to clear cache for model '{self.model_name}', but cache directory does not exist", ) return @@ -132,7 +90,7 @@ class InferenceModel(ABC): log.info(f"Cleared cache directory for model '{self.model_name}'.") rmtree(self.cache_dir) else: - log.warn( + log.warning( ( f"Encountered file instead of directory at cache path " f"for '{self.model_name}'. Removing file and replacing with a directory." @@ -156,6 +114,107 @@ class InferenceModel(ABC): raise ValueError(f"the file model_path='{model_path}' does not exist") return session + @property + def model_type(self) -> ModelType: + return self._model_type + + @property + def cache_dir(self) -> Path: + return self._cache_dir + + @cache_dir.setter + def cache_dir(self, cache_dir: Path) -> None: + self._cache_dir = cache_dir + + @property + def cache_dir_default(self) -> Path: + return get_cache_dir(self.model_name, self.model_type) + + @property + def cached(self) -> bool: + return self.cache_dir.exists() and any(self.cache_dir.iterdir()) + + @property + def providers(self) -> list[str]: + return self._providers + + @providers.setter + def providers(self, providers: list[str]) -> None: + log.debug( + (f"Setting '{self.model_name}' execution providers to {providers}, " "in descending order of preference"), + ) + self._providers = providers + + @property + def providers_default(self) -> list[str]: + available_providers = set(ort.get_available_providers()) + log.debug(f"Available ORT providers: {available_providers}") + return [provider for provider in SUPPORTED_PROVIDERS if provider in available_providers] + + @property + def provider_options(self) -> list[dict[str, Any]]: + return self._provider_options + + @provider_options.setter + def provider_options(self, provider_options: list[dict[str, Any]]) -> None: + log.debug(f"Setting execution provider options to {provider_options}") + self._provider_options = provider_options + + @property + def provider_options_default(self) -> list[dict[str, Any]]: + options = [] + for provider in self.providers: + match provider: + case "CPUExecutionProvider" | "CUDAExecutionProvider": + option = {"arena_extend_strategy": "kSameAsRequested"} + case "OpenVINOExecutionProvider": + try: + device_ids: list[str] = ort.capi._pybind_state.get_available_openvino_device_ids() + log.debug(f"Available OpenVINO devices: {device_ids}") + gpu_devices = [device_id for device_id in device_ids if device_id.startswith("GPU")] + option = {"device_id": gpu_devices[0]} if gpu_devices else {} + except AttributeError as e: + log.warning("Failed to get OpenVINO device IDs. Using default options.") + log.error(e) + option = {} + case _: + option = {} + options.append(option) + return options + + @property + def sess_options(self) -> ort.SessionOptions: + return self._sess_options + + @sess_options.setter + def sess_options(self, sess_options: ort.SessionOptions) -> None: + log.debug(f"Setting execution_mode to {sess_options.execution_mode.name}") + log.debug(f"Setting inter_op_num_threads to {sess_options.inter_op_num_threads}") + log.debug(f"Setting intra_op_num_threads to {sess_options.intra_op_num_threads}") + self._sess_options = sess_options + + @property + def sess_options_default(self) -> ort.SessionOptions: + sess_options = PicklableSessionOptions() + sess_options.enable_cpu_mem_arena = False + + # avoid thread contention between models + if settings.model_inter_op_threads > 0: + sess_options.inter_op_num_threads = settings.model_inter_op_threads + # these defaults work well for CPU, but bottleneck GPU + elif settings.model_inter_op_threads == 0 and self.providers == ["CPUExecutionProvider"]: + sess_options.inter_op_num_threads = 1 + + if settings.model_intra_op_threads > 0: + sess_options.intra_op_num_threads = settings.model_intra_op_threads + elif settings.model_intra_op_threads == 0 and self.providers == ["CPUExecutionProvider"]: + sess_options.intra_op_num_threads = 2 + + if sess_options.inter_op_num_threads > 1: + sess_options.execution_mode = ort.ExecutionMode.ORT_PARALLEL + + return sess_options + # HF deep copies configs, so we need to make session options picklable class PicklableSessionOptions(ort.SessionOptions): # type: ignore[misc] diff --git a/machine-learning/app/models/clip.py b/machine-learning/app/models/clip.py index f70d27f9f2..608a5fbf03 100644 --- a/machine-learning/app/models/clip.py +++ b/machine-learning/app/models/clip.py @@ -23,7 +23,7 @@ class BaseCLIPEncoder(InferenceModel): def __init__( self, model_name: str, - cache_dir: str | None = None, + cache_dir: Path | str | None = None, mode: Literal["text", "vision"] | None = None, **model_kwargs: Any, ) -> None: @@ -136,7 +136,7 @@ class OpenCLIPEncoder(BaseCLIPEncoder): def __init__( self, model_name: str, - cache_dir: str | None = None, + cache_dir: Path | str | None = None, mode: Literal["text", "vision"] | None = None, **model_kwargs: Any, ) -> None: diff --git a/machine-learning/app/models/constants.py b/machine-learning/app/models/constants.py index b13a42119a..a07c9ed57c 100644 --- a/machine-learning/app/models/constants.py +++ b/machine-learning/app/models/constants.py @@ -51,6 +51,13 @@ _INSIGHTFACE_MODELS = { } +SUPPORTED_PROVIDERS = [ + "CUDAExecutionProvider", + "OpenVINOExecutionProvider", + "CPUExecutionProvider", +] + + def is_openclip(model_name: str) -> bool: return clean_name(model_name) in _OPENCLIP_MODELS diff --git a/machine-learning/app/schemas.py b/machine-learning/app/schemas.py index 53f66446b8..0be2bb8a3d 100644 --- a/machine-learning/app/schemas.py +++ b/machine-learning/app/schemas.py @@ -1,4 +1,4 @@ -from enum import StrEnum +from enum import Enum from typing import Any, Protocol, TypedDict, TypeGuard import numpy as np @@ -21,7 +21,7 @@ class BoundingBox(TypedDict): y2: int -class ModelType(StrEnum): +class ModelType(str, Enum): CLIP = "clip" FACIAL_RECOGNITION = "facial-recognition" diff --git a/machine-learning/app/test_main.py b/machine-learning/app/test_main.py index 2f0804f263..b45f4bf554 100644 --- a/machine-learning/app/test_main.py +++ b/machine-learning/app/test_main.py @@ -7,12 +7,13 @@ from unittest import mock import cv2 import numpy as np +import onnxruntime as ort import pytest from fastapi.testclient import TestClient from PIL import Image from pytest_mock import MockerFixture -from .config import settings +from .config import log, settings from .models.base import InferenceModel, PicklableSessionOptions from .models.cache import ModelCache from .models.clip import OpenCLIPEncoder @@ -20,6 +21,221 @@ from .models.facial_recognition import FaceRecognizer from .schemas import ModelType +class TestBase: + CPU_EP = ["CPUExecutionProvider"] + CUDA_EP = ["CUDAExecutionProvider", "CPUExecutionProvider"] + OV_EP = ["OpenVINOExecutionProvider", "CPUExecutionProvider"] + CUDA_EP_OUT_OF_ORDER = ["CPUExecutionProvider", "CUDAExecutionProvider"] + TRT_EP = ["TensorrtExecutionProvider", "CUDAExecutionProvider", "CPUExecutionProvider"] + + @pytest.mark.providers(CPU_EP) + def test_sets_cpu_provider(self, providers: list[str]) -> None: + encoder = OpenCLIPEncoder("ViT-B-32__openai") + + assert encoder.providers == self.CPU_EP + + @pytest.mark.providers(CUDA_EP) + def test_sets_cuda_provider_if_available(self, providers: list[str]) -> None: + encoder = OpenCLIPEncoder("ViT-B-32__openai") + + assert encoder.providers == self.CUDA_EP + + @pytest.mark.providers(OV_EP) + def test_sets_openvino_provider_if_available(self, providers: list[str]) -> None: + encoder = OpenCLIPEncoder("ViT-B-32__openai") + + assert encoder.providers == self.OV_EP + + @pytest.mark.providers(CUDA_EP_OUT_OF_ORDER) + def test_sets_providers_in_correct_order(self, providers: list[str]) -> None: + encoder = OpenCLIPEncoder("ViT-B-32__openai") + + assert encoder.providers == self.CUDA_EP + + @pytest.mark.providers(TRT_EP) + def test_ignores_unsupported_providers(self, providers: list[str]) -> None: + encoder = OpenCLIPEncoder("ViT-B-32__openai") + + assert encoder.providers == self.CUDA_EP + + def test_sets_provider_kwarg(self) -> None: + providers = ["CUDAExecutionProvider"] + encoder = OpenCLIPEncoder("ViT-B-32__openai", providers=providers) + + assert encoder.providers == providers + + def test_sets_default_provider_options(self) -> None: + encoder = OpenCLIPEncoder("ViT-B-32__openai", providers=["OpenVINOExecutionProvider", "CPUExecutionProvider"]) + + assert encoder.provider_options == [ + {}, + {"arena_extend_strategy": "kSameAsRequested"}, + ] + + def test_sets_provider_options_kwarg(self) -> None: + encoder = OpenCLIPEncoder( + "ViT-B-32__openai", + providers=["OpenVINOExecutionProvider", "CPUExecutionProvider"], + provider_options=[], + ) + + assert encoder.provider_options == [] + + def test_sets_default_sess_options(self) -> None: + encoder = OpenCLIPEncoder("ViT-B-32__openai") + + assert encoder.sess_options.execution_mode == ort.ExecutionMode.ORT_SEQUENTIAL + assert encoder.sess_options.inter_op_num_threads == 1 + assert encoder.sess_options.intra_op_num_threads == 2 + assert encoder.sess_options.enable_cpu_mem_arena is False + + def test_sets_default_sess_options_does_not_set_threads_if_non_cpu_and_default_threads(self) -> None: + encoder = OpenCLIPEncoder("ViT-B-32__openai", providers=["CUDAExecutionProvider", "CPUExecutionProvider"]) + + assert encoder.sess_options.inter_op_num_threads == 0 + assert encoder.sess_options.intra_op_num_threads == 0 + + def test_sets_default_sess_options_sets_threads_if_non_cpu_and_set_threads(self, mocker: MockerFixture) -> None: + mock_settings = mocker.patch("app.models.base.settings", autospec=True) + mock_settings.model_inter_op_threads = 2 + mock_settings.model_intra_op_threads = 4 + + encoder = OpenCLIPEncoder("ViT-B-32__openai", providers=["CUDAExecutionProvider", "CPUExecutionProvider"]) + + assert encoder.sess_options.inter_op_num_threads == 2 + assert encoder.sess_options.intra_op_num_threads == 4 + + def test_sets_sess_options_kwarg(self) -> None: + sess_options = ort.SessionOptions() + encoder = OpenCLIPEncoder( + "ViT-B-32__openai", + providers=["OpenVINOExecutionProvider", "CPUExecutionProvider"], + provider_options=[], + sess_options=sess_options, + ) + + assert sess_options is encoder.sess_options + + def test_sets_default_cache_dir(self) -> None: + encoder = OpenCLIPEncoder("ViT-B-32__openai") + + assert encoder.cache_dir == Path("/cache/clip/ViT-B-32__openai") + + def test_sets_cache_dir_kwarg(self) -> None: + cache_dir = Path("/test_cache") + encoder = OpenCLIPEncoder("ViT-B-32__openai", cache_dir=cache_dir) + + assert encoder.cache_dir == cache_dir + + def test_casts_cache_dir_string_to_path(self) -> None: + cache_dir = "/test_cache" + encoder = OpenCLIPEncoder("ViT-B-32__openai", cache_dir=cache_dir) + + assert encoder.cache_dir == Path(cache_dir) + + def test_clear_cache(self, mocker: MockerFixture) -> None: + mock_rmtree = mocker.patch("app.models.base.rmtree", autospec=True) + mock_rmtree.avoids_symlink_attacks = True + mock_cache_dir = mocker.Mock() + mock_cache_dir.exists.return_value = True + mock_cache_dir.is_dir.return_value = True + mocker.patch("app.models.base.Path", return_value=mock_cache_dir) + info = mocker.spy(log, "info") + + encoder = OpenCLIPEncoder("ViT-B-32__openai", cache_dir=mock_cache_dir) + encoder.clear_cache() + + mock_rmtree.assert_called_once_with(encoder.cache_dir) + info.assert_called_once() + + def test_clear_cache_warns_if_path_does_not_exist(self, mocker: MockerFixture) -> None: + mock_rmtree = mocker.patch("app.models.base.rmtree", autospec=True) + mock_rmtree.avoids_symlink_attacks = True + mock_cache_dir = mocker.Mock() + mock_cache_dir.exists.return_value = False + mock_cache_dir.is_dir.return_value = True + mocker.patch("app.models.base.Path", return_value=mock_cache_dir) + warning = mocker.spy(log, "warning") + + encoder = OpenCLIPEncoder("ViT-B-32__openai", cache_dir=mock_cache_dir) + encoder.clear_cache() + + mock_rmtree.assert_not_called() + warning.assert_called_once() + + def test_clear_cache_raises_exception_if_vulnerable_to_symlink_attack(self, mocker: MockerFixture) -> None: + mock_rmtree = mocker.patch("app.models.base.rmtree", autospec=True) + mock_rmtree.avoids_symlink_attacks = False + mock_cache_dir = mocker.Mock() + mock_cache_dir.exists.return_value = True + mock_cache_dir.is_dir.return_value = True + mocker.patch("app.models.base.Path", return_value=mock_cache_dir) + + encoder = OpenCLIPEncoder("ViT-B-32__openai", cache_dir=mock_cache_dir) + with pytest.raises(RuntimeError): + encoder.clear_cache() + + mock_rmtree.assert_not_called() + + def test_clear_cache_replaces_file_with_dir_if_path_is_file(self, mocker: MockerFixture) -> None: + mock_rmtree = mocker.patch("app.models.base.rmtree", autospec=True) + mock_rmtree.avoids_symlink_attacks = True + mock_cache_dir = mocker.Mock() + mock_cache_dir.exists.return_value = True + mock_cache_dir.is_dir.return_value = False + mocker.patch("app.models.base.Path", return_value=mock_cache_dir) + warning = mocker.spy(log, "warning") + + encoder = OpenCLIPEncoder("ViT-B-32__openai", cache_dir=mock_cache_dir) + encoder.clear_cache() + + mock_rmtree.assert_not_called() + mock_cache_dir.unlink.assert_called_once() + mock_cache_dir.mkdir.assert_called_once() + warning.assert_called_once() + + def test_make_session_return_ann_if_available(self, mocker: MockerFixture) -> None: + mock_cache_dir = mocker.Mock() + mock_cache_dir.is_file.return_value = True + mock_cache_dir.with_suffix.return_value = mock_cache_dir + mocker.patch.object(settings, "ann", True) + mocker.patch("ann.ann.is_available", True) + mock_session = mocker.patch("app.models.base.AnnSession") + + encoder = OpenCLIPEncoder("ViT-B-32__openai") + encoder._make_session(mock_cache_dir) + + mock_session.assert_called_once() + + def test_make_session_return_ort_if_available_and_ann_is_not(self, mocker: MockerFixture) -> None: + mock_cache_dir = mocker.Mock() + mock_cache_dir.is_file.return_value = True + mock_cache_dir.with_suffix.return_value = mock_cache_dir + mocker.patch.object(settings, "ann", False) + mocker.patch("ann.ann.is_available", False) + mock_session = mocker.patch("app.models.base.ort.InferenceSession") + + encoder = OpenCLIPEncoder("ViT-B-32__openai") + encoder._make_session(mock_cache_dir) + + mock_session.assert_called_once() + + def test_make_session_raises_exception_if_path_does_not_exist(self, mocker: MockerFixture) -> None: + mock_cache_dir = mocker.Mock() + mock_cache_dir.is_file.return_value = False + mock_cache_dir.with_suffix.return_value = mock_cache_dir + mocker.patch("ann.ann.is_available", False) + mock_ann = mocker.patch("app.models.base.ort.InferenceSession") + mock_ort = mocker.patch("app.models.base.ort.InferenceSession") + + encoder = OpenCLIPEncoder("ViT-B-32__openai") + with pytest.raises(ValueError): + encoder._make_session(mock_cache_dir) + + mock_ann.assert_not_called() + mock_ort.assert_not_called() + + class TestCLIP: embedding = np.random.rand(512).astype(np.float32) cache_dir = Path("test_cache") @@ -41,7 +257,7 @@ class TestCLIP: mocked.run.return_value = [[self.embedding]] mocker.patch("app.models.clip.Tokenizer.from_file", autospec=True) - clip_encoder = OpenCLIPEncoder("ViT-B-32::openai", cache_dir="test_cache", mode="vision") + clip_encoder = OpenCLIPEncoder("ViT-B-32__openai", cache_dir="test_cache", mode="vision") embedding = clip_encoder.predict(pil_image) assert clip_encoder.mode == "vision" @@ -66,7 +282,7 @@ class TestCLIP: mocked.run.return_value = [[self.embedding]] mocker.patch("app.models.clip.Tokenizer.from_file", autospec=True) - clip_encoder = OpenCLIPEncoder("ViT-B-32::openai", cache_dir="test_cache", mode="text") + clip_encoder = OpenCLIPEncoder("ViT-B-32__openai", cache_dir="test_cache", mode="text") embedding = clip_encoder.predict("test search query") assert clip_encoder.mode == "text" @@ -166,7 +382,7 @@ class TestEndpoints: pil_image.save(byte_image, format="jpeg") response = deployed_app.post( "http://localhost:3003/predict", - data={"modelName": "ViT-B-32::openai", "modelType": "clip", "options": json.dumps({"mode": "vision"})}, + data={"modelName": "ViT-B-32__openai", "modelType": "clip", "options": json.dumps({"mode": "vision"})}, files={"image": byte_image.getvalue()}, ) assert response.status_code == 200 @@ -176,7 +392,7 @@ class TestEndpoints: response = deployed_app.post( "http://localhost:3003/predict", data={ - "modelName": "ViT-B-32::openai", + "modelName": "ViT-B-32__openai", "modelType": "clip", "text": "test search query", "options": json.dumps({"mode": "text"}), diff --git a/machine-learning/poetry.lock b/machine-learning/poetry.lock index 58719a7001..6b9682fab4 100644 --- a/machine-learning/poetry.lock +++ b/machine-learning/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.7.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. [[package]] name = "aiocache" @@ -42,24 +42,25 @@ tests = ["pytest"] [[package]] name = "anyio" -version = "3.7.1" +version = "4.2.0" description = "High level compatibility layer for multiple asynchronous event loop implementations" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "anyio-3.7.1-py3-none-any.whl", hash = "sha256:91dee416e570e92c64041bd18b900d1d6fa78dff7048769ce5ac5ddad004fbb5"}, - {file = "anyio-3.7.1.tar.gz", hash = "sha256:44a3c9aba0f5defa43261a8b3efb97891f2bd7d804e0e1f56419befa1adfc780"}, + {file = "anyio-4.2.0-py3-none-any.whl", hash = "sha256:745843b39e829e108e518c489b31dc757de7d2131d53fac32bd8df268227bfee"}, + {file = "anyio-4.2.0.tar.gz", hash = "sha256:e1875bb4b4e2de1669f4bc7869b6d3f54231cdced71605e6e64c9be77e3be50f"}, ] [package.dependencies] -exceptiongroup = {version = "*", markers = "python_version < \"3.11\""} +exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""} idna = ">=2.8" sniffio = 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