UNRAID部署Immich并启用cuda加速

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name: immich
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services:
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  immich-server:
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    container_name: immich_server
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    image: ghcr.io/immich-app/immich-server:release
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    # extends:
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    #   file: hwaccel.transcoding.yml
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    #   service: cpu # set to one of [nvenc, quicksync, rkmpp, vaapi, vaapi-wsl] for accelerated transcoding
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    volumes:
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      - /mnt/user/nas/Photos/libraries:/usr/src/app/libraries
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      - /mnt/user/nas/Photos/immich:/usr/src/app/upload
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      - /etc/localtime:/etc/localtime:ro
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    environment:
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      - MACHINE_LEARNING_GPU_ACCELERATION=cuda
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      - NVIDIA_VISIBLE_DEVICES=all
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    ports:
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      - '2283:2283'
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    depends_on:
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      - redis
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      - database
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    restart: always
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    healthcheck:
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      disable: false
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    runtime: nvidia
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  immich-machine-learning:
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    container_name: immich_machine_learning
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    # For hardware acceleration, add one of -[armnn, cuda, rocm, openvino, rknn] to the image tag.
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    # Example tag: ${IMMICH_VERSION:-release}-cuda
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    image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}-cuda
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    deploy:
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      resources:
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        reservations:
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          devices:
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            - driver: nvidia
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              count: 1
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              capabilities:
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                - gpu
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    volumes:
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      - /mnt/user/nas/Photos/model-cache:/cache
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    restart: always
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    healthcheck:
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      disable: false
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  redis:
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    container_name: immich_redis
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    image: docker.io/valkey/valkey:8-bookworm@sha256:fec42f399876eb6faf9e008570597741c87ff7662a54185593e74b09ce83d177
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    healthcheck:
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      test: redis-cli ping || exit 1
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    restart: always
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  database:
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    container_name: immich_postgres
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    image: ghcr.io/immich-app/postgres:14-vectorchord0.4.3-pgvectors0.2.0
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    environment:
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      POSTGRES_PASSWORD: postgres
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      POSTGRES_USER: postgres
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      POSTGRES_DB: immich
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      POSTGRES_INITDB_ARGS: '--data-checksums'
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      # Uncomment the DB_STORAGE_TYPE: 'HDD' var if your database isn't stored on SSDs
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      DB_STORAGE_TYPE: 'HDD'
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    volumes:
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      - /mnt/user/nas/Photos/postgres:/var/lib/postgresql/data
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    restart: always

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nvidia-smi

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XLM-Roberta-Large-Vit-B-16Plus