compose-devenv.yml

version: '3'

services:
  jn:
    build:
      context: .
      dockerfile: dev_env/Dockerfile.devenv
      args:
        - TOKEN=${JUPYTER_TOKEN}
    shm_size: '64g'
    ports:
      - "7777:7777" # gdb server
      - "8888:8888" # Jupyter Notebook Server
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              capabilities: [gpu]
    volumes:
      - ".:/home/dev/3D-Volumetric-MedicalImageSegmentationWithDeepLearning/"
    command: jupyter-notebook --ip=0.0.0.0 --port=8888 --no-browser --allow-root notebooks/
  tb:
    build:
      context: .
      dockerfile: dev_env/Dockerfile.devenv
    shm_size: '4g'
    ports:
      - "6006:6006" # Tensorboard Server
    depends_on: ["jn"]
    volumes:
      - ".:/home/dev/3D-Volumetric-MedicalImageSegmentationWithDeepLearning/"
    command: tensorboard --host 0.0.0.0 --port=6006 --logdir_spec models/
    
  ssh:
    build:
      context: .
      dockerfile: dev_env/Dockerfile.devenv
    shm_size: '64g'
    ports:
      - "7776:22" # ssh
    depends_on: ["jn"]
    volumes:
      - ".:/home/dev/3D-Volumetric-MedicalImageSegmentationWithDeepLearning/"
    command: /usr/sbin/sshd -D