Tensorflow does not release the memory after session close


Tensorflow does not release the memory after session close



I have two models.



Both model A and B works with training and test when I run them separately.
To be more efficient in training two models with same dataset,
I put their running code together.


A.training()
A.close_session() # this closes session with sess.close()
B.training()



at B.training() it occurs Resource exhausted error!



So it seems like it does not release the memory when I do the sess.close() after A.training(). This 'sess' is an attribute both A and B has separately as well. - meaning, it is being used as self.sess



Is this a bug ? Is there a solution?



.



.



I have googled and read some arguments and only closing session does not release the gpu memory though. How can I release the gpu memory so the next model can use it?









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