Storing tensorflow models in memory

Question

The program I\'m writing involves switching between models during run-time.

I am currently using Saver to save/load models from the disk as specified here: https://www.t

Answer 1

I would just have two different sessions with their own computation graphs. Alternatively, you could just duplicate the computation graph (two copies of the variables, operations, etc) in the same session. Then you would call sess.run(comp1 if useCompOne else comp2), however you'd like to set it up.