Could not find image processor class in the image processor config or the model config. Loading based on pattern matching with the model's feature extractor configuration.
travisboss opened this issue · comments
Could not find image processor class in the image processor config or the model config. Loading based on pattern matching with the model's feature extractor configuration.
See this pop up at the end of the container, is this an issue?
immich-cuda-node:
image: ghcr.io/imagegenius/immich-cuda-node:latest
runtime: nvidia
container_name: immich-cuda-node
environment:
- PUID=1000
- PGID=100
- TZ=America/Chicago
- NVIDIA_VISIBLE_DEVICES=all
volumes:
- /pool/datavault/immich/cuda/config:/var/lib/postgresql/data
- /pool/datavault/immich/photos:/photos
ports:
- 3003:3003
restart: unless-stopped
networks:
- docker-services
security_opt:
- no-new-privileges=true
Here is what the compose file looks like, thanks.
not sure you can you can use runtime
in docker compose, might be wrong, but
version: "3"
services:
immich-cuda-node:
image: ghcr.io/imagegenius/immich-cuda-node:latest
container_name: immich-cuda-node
environment:
- PUID=1000
- PGID=100
- TZ=America/Chicago
volumes:
- /pool/datavault/immich/cuda/config:/var/lib/postgresql/data
- /pool/datavault/immich/photos:/photos
ports:
- 3003:3003
restart: unless-stopped
networks:
- docker-services
security_opt:
- no-new-privileges=true
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: 1
capabilities: [gpu]
is whats needed to passthrough a GPU via compose
Could not find image processor class in the image processor config or the model config. Loading based on pattern matching with the model's feature extractor configuration.
don't believe this means anythings wrong, @martabal?
Could not find image processor class in the image processor config or the model config. Loading based on pattern matching with the model's feature extractor configuration.
don't believe this means anythings wrong, @martabal?
I think it's just a warning and can be ignored.
FYI, This cuda node worked with a previous version of machine-learning but I don't know if it works with the current immich version. Because immich machine-learning changed a lot recently, and gpu acceleration is not officially supported, I don't know if it uses the GPU. My vision on this cuda node is to leave it as it is (good thing if this works and won't fix it if this breaks) until Immich officially supports GPU acceleration for machine-learning.