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docs: mention rknn among image options (#17156)

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mention rknn
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Mert 2025-03-26 19:05:48 -04:00 committed by GitHub
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docs/docs/features/ml-hardware-acceleration.md
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@ -71,7 +71,7 @@ You do not need to redo any machine learning jobs after enabling hardware accele
1. If you do not already have it, download the latest [`hwaccel.ml.yml`][hw-file] file and ensure it's in the same folder as the `docker-compose.yml`.
2. In the `docker-compose.yml` under `immich-machine-learning`, uncomment the `extends` section and change `cpu` to the appropriate backend.
3. Still in `immich-machine-learning`, add one of -[armnn, cuda, rocm, openvino] to the `image` section's tag at the end of the line.
3. Still in `immich-machine-learning`, add one of -[armnn, cuda, rocm, openvino, rknn] to the `image` section's tag at the end of the line.
4. Redeploy the `immich-machine-learning` container with these updated settings.
### Confirming Device Usage

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docs/docs/guides/remote-machine-learning.md
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@ -23,12 +23,12 @@ name: immich_remote_ml
services:
immich-machine-learning:
container_name: immich_machine_learning
# For hardware acceleration, add one of -[armnn, cuda, rocm, openvino] to the image tag.
# For hardware acceleration, add one of -[armnn, cuda, rocm, openvino, rknn] to the image tag.
# Example tag: ${IMMICH_VERSION:-release}-cuda
image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}
# extends:
# file: hwaccel.ml.yml
# service: # set to one of [armnn, cuda, rocm, openvino, openvino-wsl] for accelerated inference - use the `-wsl` version for WSL2 where applicable
# service: # set to one of [armnn, cuda, rocm, openvino, openvino-wsl, rknn] for accelerated inference - use the `-wsl` version for WSL2 where applicable
volumes:
- model-cache:/cache
restart: always