From 2979847d5a2ce58ce966ef355f962e1d4dc0a0bf Mon Sep 17 00:00:00 2001
From: jaydee <jaydee@sectorq.eu>
Date: Wed, 26 Feb 2025 19:32:28 +0100
Subject: [PATCH] lala

---
 immich/hwaccel.ml.yml          | 43 ++++++++++++++++++++++++++
 immich/hwaccel.transcoding.yml | 55 ++++++++++++++++++++++++++++++++++
 2 files changed, 98 insertions(+)
 create mode 100644 immich/hwaccel.ml.yml
 create mode 100644 immich/hwaccel.transcoding.yml

diff --git a/immich/hwaccel.ml.yml b/immich/hwaccel.ml.yml
new file mode 100644
index 0000000..d9455d2
--- /dev/null
+++ b/immich/hwaccel.ml.yml
@@ -0,0 +1,43 @@
+# Configurations for hardware-accelerated machine learning
+
+# If using Unraid or another platform that doesn't allow multiple Compose files,
+# you can inline the config for a backend by copying its contents
+# into the immich-machine-learning service in the docker-compose.yml file.
+
+# See https://immich.app/docs/features/ml-hardware-acceleration for info on usage.
+
+services:
+  armnn:
+    devices:
+      - /dev/mali0:/dev/mali0
+    volumes:
+      - /lib/firmware/mali_csffw.bin:/lib/firmware/mali_csffw.bin:ro # Mali firmware for your chipset (not always required depending on the driver)
+      - /usr/lib/libmali.so:/usr/lib/libmali.so:ro # Mali driver for your chipset (always required)
+
+  cpu: {}
+
+  cuda:
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: 1
+              capabilities:
+                - gpu
+
+  openvino:
+    device_cgroup_rules:
+      - 'c 189:* rmw'
+    devices:
+      - /dev/dri:/dev/dri
+    volumes:
+      - /dev/bus/usb:/dev/bus/usb
+
+  openvino-wsl:
+    devices:
+      - /dev/dri:/dev/dri
+      - /dev/dxg:/dev/dxg
+    volumes:
+      - /dev/bus/usb:/dev/bus/usb
+      - /usr/lib/wsl:/usr/lib/wsl
diff --git a/immich/hwaccel.transcoding.yml b/immich/hwaccel.transcoding.yml
new file mode 100644
index 0000000..60ee7e8
--- /dev/null
+++ b/immich/hwaccel.transcoding.yml
@@ -0,0 +1,55 @@
+# Configurations for hardware-accelerated transcoding
+
+# If using Unraid or another platform that doesn't allow multiple Compose files,
+# you can inline the config for a backend by copying its contents
+# into the immich-microservices service in the docker-compose.yml file.
+
+# See https://immich.app/docs/features/hardware-transcoding for more info on using hardware transcoding.
+
+services:
+  cpu: {}
+
+  nvenc:
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: 1
+              capabilities:
+                - gpu
+                - compute
+                - video
+
+  quicksync:
+    devices:
+      - /dev/dri:/dev/dri
+
+  rkmpp:
+    security_opt: # enables full access to /sys and /proc, still far better than privileged: true
+      - systempaths=unconfined
+      - apparmor=unconfined
+    group_add:
+      - video
+    devices:
+      - /dev/rga:/dev/rga
+      - /dev/dri:/dev/dri
+      - /dev/dma_heap:/dev/dma_heap
+      - /dev/mpp_service:/dev/mpp_service
+      #- /dev/mali0:/dev/mali0 # only required to enable OpenCL-accelerated HDR -> SDR tonemapping
+    volumes:
+      #- /etc/OpenCL:/etc/OpenCL:ro # only required to enable OpenCL-accelerated HDR -> SDR tonemapping
+      #- /usr/lib/aarch64-linux-gnu/libmali.so.1:/usr/lib/aarch64-linux-gnu/libmali.so.1:ro # only required to enable OpenCL-accelerated HDR -> SDR tonemapping
+
+  vaapi:
+    devices:
+      - /dev/dri:/dev/dri
+
+  vaapi-wsl: # use this for VAAPI if you're running Immich in WSL2
+    devices:
+      - /dev/dri:/dev/dri
+      - /dev/dxg:/dev/dxg
+    volumes:
+      - /usr/lib/wsl:/usr/lib/wsl
+    environment:
+      - LIBVA_DRIVER_NAME=d3d12