docker-compose.yml

version: "3.3"

services:
  jupyter:
    build:
      context: ./jupyter
      args:
        DOCKER_UID: ${DOCKER_UID}
        DOCKER_GID: ${DOCKER_GID}
        DOCKER_USER: ${DOCKER_USER}
        DOCKER_PASSWORD: ${DOCKER_PASSWORD}
    container_name: deform_pred_multi_env_jupyter_${DOCKER_USER}
    environment:
      - DISPLAY=${MY_DISPLAY}
      - NVIDIA_VISIBLE_DEVICES=${NVIDIA_VISIBLE_DEVICES}
      - NVIDIA_DRIVER_CAPABILITIES=${NVIDIA_DRIVER_CAPABILITIES}
      - TZ=Asia/Tokyo
    ports:
      - "${HOST_JUPYTER_PORT}:${CONTAINER_JUPYTER_PORT}"
      - "${HOST_TENSORBOARD_PORT}:${CONTAINER_TENSORBOARD_PORT}" # TensorBoard用
    volumes:
      - .:/tf/workspace/deformation-prediction-multi-environment
      - /mnt/nas/kodera/deformation_prediction_multi_environment:/tf/nas
      - /tmp/.X11-unix:/tmp/.X11-unix
    working_dir: /tf/workspace/deformation-prediction-multi-environment
    command: >
      bash -c "jupyter lab --no-browser --ip=0.0.0.0 --allow-root --port=${CONTAINER_JUPYTER_PORT} --NotebookApp.token='' &
               tensorboard --logdir /tf/workspace/deformation-prediction-multi-environment/logs --host 0.0.0.0 --port=${CONTAINER_TENSORBOARD_PORT}"