docker-compose.gpu.yml

version: '3.8'

services:
  celery_worker:
    build:
      context: .  # Keep the build context as the root directory
      dockerfile: docker/Dockerfile.gpu.distributed-server  # Specify the new path to the GPU Dockerfile
    command: celery -A marker_api.celery_worker.celery_app worker --pool=solo --loglevel=info
    image: marker-api-gpu-image
    volumes:
      - .:/app
    depends_on:
      - redis
    environment:
      - REDIS_HOST=${REDIS_HOST}
    deploy:
      resources:
        reservations:
          devices:
            - capabilities: [gpu]  # Request GPU support

  app:
    container_name: marker-api-gpu
    image: marker-api-gpu-image 
    command: python distributed_server.py --host 0.0.0.0 --port 8080
    environment:
      - ENV=production
    ports:
      - "8080:8080"
    volumes:
      - .:/app
    depends_on:
      - redis
      - celery_worker
    deploy:
      resources:
        reservations:
          devices:
            - capabilities: [gpu]  # Request GPU support

  redis:
    container_name: redis
    image: redis:7.2.4-alpine
    ports:
      - "6379:6379"

  flower:
    container_name: flower_gpu
    image: marker-api-gpu-image 
    command: celery -A marker_api.celery_worker.celery_app flower --port=5555
    ports:
      - 5556:5555
    volumes:
      - .:/app
    environment:
      - REDIS_HOST=${REDIS_HOST}
    depends_on:
      - app
      - redis
      - celery_worker
    deploy:
      resources:
        reservations:
          devices:
            - capabilities: [gpu]  # Request GPU support