Longer training time for each batch after some steps

[SiZuo]

Hi, I found that the training time of each step is getting slower during the training phase. It might because there are some new operations added to the graph after sess.run().

I am thinking to use some command to fix the graph like: tf.reset_default_graph() sess.get_default_graph.finalize()

But my question is that the network structure is changing after searching a new architecture by the controller, so will the command above be a problem?