Sergio Jimenez Jimenez
94b25f9752
Some checks failed
build_docker / essential (pull_request) Successful in 1s
build_docker / build_cpu (pull_request) Successful in 4m14s
build_docker / build_easyocr (pull_request) Successful in 12m19s
build_docker / build_easyocr_gpu (pull_request) Successful in 14m2s
build_docker / build_doctr (pull_request) Successful in 12m24s
build_docker / build_doctr_gpu (pull_request) Successful in 13m10s
build_docker / build_raytune (pull_request) Successful in 1m50s
build_docker / build_gpu (pull_request) Has been cancelled
51 lines
1.5 KiB
YAML
51 lines
1.5 KiB
YAML
# docker-compose.tuning.doctr.yml - Ray Tune with DocTR GPU
|
|
# Usage:
|
|
# docker compose -f docker-compose.tuning.doctr.yml up -d doctr-gpu
|
|
# docker compose -f docker-compose.tuning.doctr.yml run raytune --service doctr --samples 64
|
|
# docker compose -f docker-compose.tuning.doctr.yml down
|
|
|
|
services:
|
|
raytune:
|
|
image: seryus.ddns.net/unir/raytune:latest
|
|
command: ["--service", "doctr", "--host", "doctr-gpu", "--port", "8000", "--samples", "64"]
|
|
volumes:
|
|
- ./results:/app/results:rw
|
|
environment:
|
|
- PYTHONUNBUFFERED=1
|
|
depends_on:
|
|
doctr-gpu:
|
|
condition: service_healthy
|
|
|
|
doctr-gpu:
|
|
image: seryus.ddns.net/unir/doctr-gpu:latest
|
|
container_name: doctr-gpu-tuning
|
|
ports:
|
|
- "8003:8000"
|
|
volumes:
|
|
- ./dataset:/app/dataset:ro
|
|
- ./debugset:/app/debugset:rw
|
|
- doctr-cache:/root/.cache/doctr
|
|
environment:
|
|
- PYTHONUNBUFFERED=1
|
|
- CUDA_VISIBLE_DEVICES=0
|
|
- DOCTR_DET_ARCH=db_resnet50
|
|
- DOCTR_RECO_ARCH=crnn_vgg16_bn
|
|
deploy:
|
|
resources:
|
|
reservations:
|
|
devices:
|
|
- driver: nvidia
|
|
count: 1
|
|
capabilities: [gpu]
|
|
restart: unless-stopped
|
|
healthcheck:
|
|
test: ["CMD", "python", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:8000/health')"]
|
|
interval: 30s
|
|
timeout: 10s
|
|
retries: 3
|
|
start_period: 180s
|
|
|
|
volumes:
|
|
doctr-cache:
|
|
name: doctr-model-cache
|