Generator is supposed to be endless, so I don't expect such problem. But if 
does I think some error is ok, it will need testing

--
Best regards,
Max




> 11 янв. 2017 г., в 1:54, Frédéric Bastien <[email protected]> 
> написал(а):
> 
> What do you think Theano should do when this op in the graph return an error 
> as there is no more data?
> 
> Le 9 janv. 2017 12:33, "Maxim Kochurov" <[email protected] 
> <mailto:[email protected]>> a écrit :
> 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 <[email protected] 
>> <mailto:[email protected]>> 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 <[email protected] 
>> <mailto:[email protected]>> 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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