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refactor!: LOG_LEVEL => IMMICH_LOG_LEVEL (#9557)

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refactor: LOG_LEVEL => IMMICH_LOG_LEVEL
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Jason Rasmussen 2024-05-17 11:44:22 -04:00 • committed by GitHub
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docs/docs/features/ml-hardware-acceleration.md
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@ -95,7 +95,7 @@ immich-machine-learning:
Once this is done, you can redeploy the `immich-machine-learning` container.
:::info
You can confirm the device is being recognized and used by checking its utilization (via `nvtop` for CUDA, `intel_gpu_top` for OpenVINO, etc.). You can also enable debug logging by setting `LOG_LEVEL=debug` in the `.env` file and restarting the `immich-machine-learning` container. When a Smart Search or Face Detection job begins, you should see a log for `Available ORT providers` containing the relevant provider. In the case of ARM NN, the absence of a `Could not load ANN shared libraries` log entry means it loaded successfully.
You can confirm the device is being recognized and used by checking its utilization (via `nvtop` for CUDA, `intel_gpu_top` for OpenVINO, etc.). You can also enable debug logging by setting `IMMICH_LOG_LEVEL=debug` in the `.env` file and restarting the `immich-machine-learning` container. When a Smart Search or Face Detection job begins, you should see a log for `Available ORT providers` containing the relevant provider. In the case of ARM NN, the absence of a `Could not load ANN shared libraries` log entry means it loaded successfully.
:::
[hw-file]: https://github.com/immich-app/immich/releases/latest/download/hwaccel.ml.yml