Re: [theano-users] Re: Theano same computation not optimized?

2017-05-23 Thread Frédéric Bastien
What are you Theano flags? I suppose you are odnig optimizer=None. That would explain why it isn't optimized. Using optimizer=None isn't recommanded. I tried it just in case and here it get merged correctly. On Sun, May 21, 2017 at 7:56 AM Alexander Botev wrote: > Is it

[theano-users] Re: Theano same computation not optimized?

2017-05-21 Thread Alexander Botev
Is it possible to see the optimized graph than, or somehow get things identified that they are reused on the graph? If I make a picture with pydotprint there are still 2 separate nodes with the sigmoid, while I want to have a graph where there is only one. On Sunday, 21 May 2017 00:59:34

[theano-users] Re: Theano same computation not optimized?

2017-05-20 Thread Adam Becker
> when it can just reuse that computation That's what optimization does. Try running it with device=cpu and optimizer=fast_run On Saturday, May 20, 2017 at 11:55:19 PM UTC+8, Alexander Botev wrote: > > I have the following code: > > >>> a = T.fmatrix() > >>> b = T.sqr(a) > >>> c =