docker-compose.yml

version: "3"
services:
 model-cuda:
 env_file:
 - .env
 user: "${UID}:${GID}"
 build:
 context: .
 dockerfile: DockerfileCUDA
 tty: true
 deploy:
 resources:
 reservations:
 devices:
 - driver: nvidia
 count: 1
 capabilities: [gpu]
 volumes:
 - ./logs/:/usr/src/app/logs:z
 - ./data/:/usr/src/app/data:z
 command: sh -c "python train.py logger=tensorboard trainer.gpus=1"

 model:
 env_file:
 - .env
 user: "${UID}:${GID}"
 build: 
 context: .
 dockerfile: Dockerfile
 tty: true
 volumes:
 - ./logs/:/usr/src/app/logs:z
 - ./data/:/usr/src/app/data:z
 command: sh -c "python train.py logger=tensorboard trainer.gpus=0"

 tensorboard:
 image: tensorflow/tensorflow
 volumes:
 - ./logs:/logs:z
 command: sh -c "tensorboard --logdir /logs --bind_all"
 ports:
 - 8008:6006