Immich•5mo ago

I have an issue with machine learning / smart search

He, I have an issue with my machine learning container. Here is wath i can provide ; somone know why i get this ? Thanks Here is my docker compose :

 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:
      - stack.env
    environment:
      - MACHINE_LEARNING_MODEL_TTL=0
      - MACHINE_LEARNING_PRELOAD__CLIP=ViT-H-14-378-quickgelu__dfn5b
    restart: always
    healthcheck:
      disable: false
    networks:
        - ${NETWORK_INTERFACE}

 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:
      - stack.env
    environment:
      - MACHINE_LEARNING_MODEL_TTL=0
      - MACHINE_LEARNING_PRELOAD__CLIP=ViT-H-14-378-quickgelu__dfn5b
    restart: always
    healthcheck:
      disable: false
    networks:
        - ${NETWORK_INTERFACE}

message.txt

7 Replies

Immich•5mo ago

:wave: Hey @herobrine4770, Thanks for reaching out to us. Please carefully read this message and follow the recommended actions. This will help us be more effective in our support effort and leave more time for building Immich :immich:. References - Container Logs: docker compose logs docs - Container Status: docker ps -a docs - Reverse Proxy: https://immich.app/docs/administration/reverse-proxy - Code Formatting https://support.discord.com/hc/en-us/articles/210298617-Markdown-Text-101-Chat-Formatting-Bold-Italic-Underline#h_01GY0DAKGXDEHE263BCAYEGFJA Checklist I have... 1. :ballot_box_with_check: verified I'm on the latest release(note that mobile app releases may take some time). 2. :ballot_box_with_check: read applicable release notes. 3. :ballot_box_with_check: reviewed the FAQs for known issues. 4. :ballot_box_with_check: reviewed Github for known issues. 5. :ballot_box_with_check: tried accessing Immich via local ip (without a custom reverse proxy). 6. :ballot_box_with_check: uploaded the relevant information (see below). 7. :ballot_box_with_check: tried an incognito window, disabled extensions, cleared mobile app cache, logged out and back in, different browsers, etc. as applicable (an item can be marked as "complete" by reacting with the appropriate number) Information In order to be able to effectively help you, we need you to provide clear information to show what the problem is. The exact details needed vary per case, but here is a list of things to consider: - Your docker-compose.yml and .env files. - Logs from all the containers and their status (see above). - All the troubleshooting steps you've tried so far. - Any recent changes you've made to Immich or your system. - Details about your system (both software/OS and hardware). - Details about your storage (filesystems, type of disks, output of commands like fdisk -l and df -h). - The version of the Immich server, mobile app, and other relevant pieces. - Any other information that you think might be relevant. Please paste files and logs with proper code formatting, and especially avoid blurry screenshots. Without the right information we can't work out what the problem is. Help us help you ;) If this ticket can be closed you can use the /close command, and re-open it later if needed. Successfully submitted, a tag has been added to inform contributors. :white_check_mark:

bo0tzz•5mo ago

Like the bot's message asks, please post more relevant info At least your full compose file and .env

herobrine4770OP•5mo ago

ok my .env :

UPLOAD_LOCATION=/home/***/hdd/immich/immich_picture
DB_DATA_LOCATION=/home/***/hdd/immich/postgres
IMMICH_VERSION=release
DB_PASSWORD=**********
DB_USERNAME=immich_******
DB_DATABASE_NAME=immich
NETWORK_INTERFACE=docklan

UPLOAD_LOCATION=/home/***/hdd/immich/immich_picture
DB_DATA_LOCATION=/home/***/hdd/immich/postgres
IMMICH_VERSION=release
DB_PASSWORD=**********
DB_USERNAME=immich_******
DB_DATABASE_NAME=immich
NETWORK_INTERFACE=docklan

herobrine4770OP•5mo ago

the full docker compose

message.txt

herobrine4770OP•5mo ago

* when i remove : environment: - MACHINE_LEARNING_MODEL_TTL=0 - MACHINE_LEARNING_PRELOADCLIP=ViT-H-14-378-quickgeludfn5b i get

 [12/29/24 16:08:56] INFO     Starting gunicorn 23.0.0                           

[12/29/24 16:08:56] INFO     Listening at: http://[::]:3003 (9)                 

[12/29/24 16:08:56] INFO     Using worker: app.config.CustomUvicornWorker       

[12/29/24 16:08:56] INFO     Booting worker with pid: 10                        

[12/29/24 16:09:04] INFO     Started server process [10]                        

[12/29/24 16:09:04] INFO     Waiting for application startup.                   

[12/29/24 16:09:04] INFO     Created in-memory cache with unloading after 300s  

                             of inactivity.                                     

[12/29/24 16:09:04] INFO     Initialized request thread pool with 4 threads.    

[12/29/24 16:09:04] INFO     Application startup complete.                      

[12/29/24 16:09:04] INFO     Loading textual model                              

                             'ViT-H-14-378-quickgelu__dfn5b' to memory          

[12/29/24 16:09:04] INFO     Setting execution providers to                     

                             ['CPUExecutionProvider'], in descending order of   

                             preference

 [12/29/24 16:08:56] INFO     Starting gunicorn 23.0.0                           

[12/29/24 16:08:56] INFO     Listening at: http://[::]:3003 (9)                 

[12/29/24 16:08:56] INFO     Using worker: app.config.CustomUvicornWorker       

[12/29/24 16:08:56] INFO     Booting worker with pid: 10                        

[12/29/24 16:09:04] INFO     Started server process [10]                        

[12/29/24 16:09:04] INFO     Waiting for application startup.                   

[12/29/24 16:09:04] INFO     Created in-memory cache with unloading after 300s  

                             of inactivity.                                     

[12/29/24 16:09:04] INFO     Initialized request thread pool with 4 threads.    

[12/29/24 16:09:04] INFO     Application startup complete.                      

[12/29/24 16:09:04] INFO     Loading textual model                              

                             'ViT-H-14-378-quickgelu__dfn5b' to memory          

[12/29/24 16:09:04] INFO     Setting execution providers to                     

                             ['CPUExecutionProvider'], in descending order of   

                             preference

but when i try to do a search i get no result

bo0tzz•5mo ago

Did you also change the model in the server settings, and did you rerun the smart search job after that?

herobrine4770OP•5mo ago

yes and still the same issue

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I have an issue with machine learning / smart search

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