问题
I'm trying to run several models of neural networks in tensorflow in parallel, each model is independent of the rest. It is necessary to create a session for each of the executions I launch with tensorflow or I could reuse the same session for each of the models ?. Thank you
回答1:
A session is linked to a specific Tensorflow Graph instance. If you want to have one session for all, you need to put all your models in the same graph. This may cause you naming problems for tensors and is IMO generally a bad idea (you should keep things that are not related to each other separate).
Having everything in the same graph also raises your model's resources requirements (you always load everything even if you run only a sub-graph), which is another reason to split things in independent graphs. With independent graphs, you'll have to use multiple sessions.
来源：https://stackoverflow.com/questions/48946751/executing-multiple-models-in-tensorflow-with-a-single-session