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Code Issues Packages Projects Releases 18 Wiki Activity

feat(ml): ML on Rockchip NPUs (#15241)

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Yoni Yang
2025-03-18 00:04:08 +08:00
committed by GitHub
parent 1e184a70f1
commit 14c3b99c0f
43 changed files with 2417 additions and 4726 deletions
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18
docker/docker-compose.yml
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@@ -33,12 +33,12 @@ services:
immich-machine-learning:
container_name: immich_machine_learning
# For hardware acceleration, add one of -[armnn, cuda, openvino] to the image tag.
# For hardware acceleration, add one of -[armnn, cuda, openvino, rknn] to the image tag.
# Example tag: ${IMMICH_VERSION:-release}-cuda
image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}
# extends: # uncomment this section for hardware acceleration - see https://immich.app/docs/features/ml-hardware-acceleration
# file: hwaccel.ml.yml
# service: cpu # set to one of [armnn, cuda, openvino, openvino-wsl] for accelerated inference - use the `-wsl` version for WSL2 where applicable
# service: cpu # set to one of [armnn, cuda, openvino, openvino-wsl, rknn] for accelerated inference - use the `-wsl` version for WSL2 where applicable
volumes:
- model-cache:/cache
env_file:
@@ -67,22 +67,12 @@ services:
- ${DB_DATA_LOCATION}:/var/lib/postgresql/data
healthcheck:
test: >-
pg_isready --dbname="$${POSTGRES_DB}" --username="$${POSTGRES_USER}" || exit 1;
Chksum="$$(psql --dbname="$${POSTGRES_DB}" --username="$${POSTGRES_USER}" --tuples-only --no-align
--command='SELECT COALESCE(SUM(checksum_failures), 0) FROM pg_stat_database')";
echo "checksum failure count is $$Chksum";
[ "$$Chksum" = '0' ] || exit 1
pg_isready --dbname="$${POSTGRES_DB}" --username="$${POSTGRES_USER}" || exit 1; Chksum="$$(psql --dbname="$${POSTGRES_DB}" --username="$${POSTGRES_USER}" --tuples-only --no-align --command='SELECT COALESCE(SUM(checksum_failures), 0) FROM pg_stat_database')"; echo "checksum failure count is $$Chksum"; [ "$$Chksum" = '0' ] || exit 1
interval: 5m
start_interval: 30s
start_period: 5m
command: >-
postgres
-c shared_preload_libraries=vectors.so
-c 'search_path="$$user", public, vectors'
-c logging_collector=on
-c max_wal_size=2GB
-c shared_buffers=512MB
-c wal_compression=on
postgres -c shared_preload_libraries=vectors.so -c 'search_path="$$user", public, vectors' -c logging_collector=on -c max_wal_size=2GB -c shared_buffers=512MB -c wal_compression=on
restart: always
volumes: