mirror of
https://github.com/immich-app/immich.git
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95cfe22866
* 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
77 lines
2.0 KiB
YAML
77 lines
2.0 KiB
YAML
version: "3.8"
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name: immich-prod
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x-server-build: &server-common
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image: immich-server:latest
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build:
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context: ../
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dockerfile: server/Dockerfile
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volumes:
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- ${UPLOAD_LOCATION}/photos:/usr/src/app/upload
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- /etc/localtime:/etc/localtime:ro
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env_file:
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- .env
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restart: always
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services:
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immich-server:
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container_name: immich_server
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command: [ "./start-server.sh" ]
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<<: *server-common
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ports:
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- 2283:3001
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depends_on:
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- redis
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- database
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immich-microservices:
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container_name: immich_microservices
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command: [ "./start-microservices.sh" ]
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<<: *server-common
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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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depends_on:
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- redis
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- database
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- immich-server
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immich-machine-learning:
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container_name: immich_machine_learning
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image: immich-machine-learning:latest
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# extends:
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# file: hwaccel.ml.yml
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# service: cpu # set to one of [armnn, cuda, openvino, openvino-wsl] for accelerated inference
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build:
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context: ../machine-learning
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dockerfile: Dockerfile
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args:
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- DEVICE=cpu # set to one of [armnn, cuda, openvino, openvino-wsl] for accelerated inference
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volumes:
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- model-cache:/cache
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env_file:
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- .env
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restart: always
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redis:
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container_name: immich_redis
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image: redis:6.2-alpine@sha256:c5a607fb6e1bb15d32bbcf14db22787d19e428d59e31a5da67511b49bb0f1ccc
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restart: always
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database:
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container_name: immich_postgres
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image: tensorchord/pgvecto-rs:pg14-v0.1.11@sha256:0335a1a22f8c5dd1b697f14f079934f5152eaaa216c09b61e293be285491f8ee
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env_file:
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- .env
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environment:
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POSTGRES_PASSWORD: ${DB_PASSWORD}
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POSTGRES_USER: ${DB_USERNAME}
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POSTGRES_DB: ${DB_DATABASE_NAME}
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volumes:
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- ${UPLOAD_LOCATION}/postgres:/var/lib/postgresql/data
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restart: always
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volumes:
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model-cache:
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