I'm currently trying to make user friendly interface for pymc3. I want to 
implement automatic likelihood scaling, that is now done by user. I believe 
that this Op will help a lot with implementing large scale inference algorithms.

--
Best regards,
Max




> 9 янв. 2017 г., в 18:16, Frédéric Bastien <frederic.bast...@gmail.com> 
> написал(а):
> 
> Hi,
> 
> Currenlty we don't have such an op. I'm not sure how to implement the case of 
> the end of the computation. We could have it return an empty tensor, but this 
> don't seem super clean. So such an op should be used with an ifelse op that 
> would skip all the computation... Nothing super fast to implement in all 
> cases.
> 
> What prevent you from doing that outside Theano? You could wrap the Theano 
> function in a class/function that would do what you want.
> 
> Fred
> 
> On Sat, Jan 7, 2017 at 10:09 AM, Maxim Kochurov <maxim.v.kochu...@gmail.com 
> <mailto:maxim.v.kochu...@gmail.com>> wrote:
> Hi I wonder if it is possible to create a custom Op that takes user defined 
> generator when init and yields form that generator on runtime. I want to use 
> it for passing minibatches to the graph in such way
> 
> 
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