mirror of
https://github.com/immich-app/immich.git
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2b37caba03
* feat(ml): introduce support of onnxruntime-rocm for AMD GPU
* try mutex for algo cache
use OrtMutex
* bump versions, run on mich
use 3.12
use 1.19.2
* acquire lock before any changes can be made
guard algo benchmark results
mark mutex as mutable
re-add /bin/sh (?)
use 3.10
use 6.1.2
* use composite cache key
1.19.2
fix variable name
fix variable reference
aaaaaaaaaaaaaaaaaaaa
* bump deps
* disable algo caching
* fix gha
* try ubuntu runner
* actually fix the gha
* update patch
* skip mimalloc preload for rocm
* increase build threads
* increase timeout for rocm
* Revert "increase timeout for rocm"
This reverts commit 2c4452f5d132198ed381a7b262b4a5cab5114b5f.
* attempt migraphx
* set migraphx_home
* Revert "set migraphx_home"
This reverts commit c121d3e48754b3bce100636f8d666deec58a44b7.
* Revert "attempt migraphx"
This reverts commit 521f9fb72dbe506dc6cb8faeb6494817d87265c6.
* migraphx, take two
* bump rocm
* allow cpu
* try only targeting migraphx
* skip tests
* migraph ❌
* known issues
* target gfx900 and gfx1102
* mention `HSA_USE_SVM`
* update lock
* set device id for rocm
---------
Co-authored-by: Mehdi GHESH <mehdi.ghesh@hotmail.fr>
58 lines
1.4 KiB
YAML
58 lines
1.4 KiB
YAML
# Configurations for hardware-accelerated machine learning
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# If using Unraid or another platform that doesn't allow multiple Compose files,
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# you can inline the config for a backend by copying its contents
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# into the immich-machine-learning service in the docker-compose.yml file.
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# See https://immich.app/docs/features/ml-hardware-acceleration for info on usage.
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services:
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armnn:
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devices:
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- /dev/mali0:/dev/mali0
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volumes:
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- /lib/firmware/mali_csffw.bin:/lib/firmware/mali_csffw.bin:ro # Mali firmware for your chipset (not always required depending on the driver)
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- /usr/lib/libmali.so:/usr/lib/libmali.so:ro # Mali driver for your chipset (always required)
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rknn:
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security_opt:
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- systempaths=unconfined
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- apparmor=unconfined
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devices:
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- /dev/dri:/dev/dri
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cpu: {}
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cuda:
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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count: 1
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capabilities:
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- gpu
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rocm:
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group_add:
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- video
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devices:
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- /dev/dri:/dev/dri
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- /dev/kfd:/dev/kfd
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openvino:
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device_cgroup_rules:
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- 'c 189:* rmw'
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devices:
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- /dev/dri:/dev/dri
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volumes:
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- /dev/bus/usb:/dev/bus/usb
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openvino-wsl:
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devices:
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- /dev/dri:/dev/dri
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- /dev/dxg:/dev/dxg
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volumes:
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- /dev/bus/usb:/dev/bus/usb
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- /usr/lib/wsl:/usr/lib/wsl
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