I run machine learning model in docker container. The model will go through train , eval , test and interactive 4 process. I use following ways to start docker:
sudo docker run --runtime=nvidia --name tensorflow_bert_dst -it -p 8888:8888 tensorflow/tensorflow:1.13.2-gpu-py3-jupyter
The process of training is so long that I close the terminal and let docker running in the server. Several hours later, I want to use following method check the result and interactive with the model.
docker attach tensorflow_bert_dst
But the docker hang and do not show any result, how to enter the running container and see the last time result and interactive with my model?