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From Stephan Ewen <se...@apache.org>
Subject Re: Broadcasted Variable not updated in a Iterative Data Set
Date Tue, 12 May 2015 22:57:18 GMT
Happy to hear that it works!

On Wed, May 13, 2015 at 12:42 AM, Ventura Del Monte <
venturadelmonte@gmail.com> wrote:

> Thank you for your clarification. At the end I figured out, it was a silly
> programming error, now it just works fine. Thank you again for your
> explanation.
>
>
> 2015-05-11 22:31 GMT+02:00 Stephan Ewen <sewen@apache.org>:
>
>> Can you share the respective part of the code, then we can have a look?
>>
>> In general, a DataSet is re-broadcasted in each iteration, if it depends
>> on the IterativeDataSet.
>> You have to re-grab it from the RuntimeContext in each superstep. If you
>> call getBroadcastSet() in the open() method, then it will get executed in
>> each superstep (open gets called at the beginning of each superstep).
>>
>> Greetings,
>> Stephan
>>
>>
>> On Mon, May 11, 2015 at 6:36 PM, Ventura Del Monte <
>> venturadelmonte@gmail.com> wrote:
>>
>>> Hello,
>>>
>>> I am writing a Flink application whose purpose is to train neural
>>> networks. I have implemented a version of SDG based on mini batches using
>>> the IterativeDataSet class. In a nutshell, my code groups the input
>>> features in a set called mini batch (i have as many mini batches as the
>>> parallelism degree), then it calculates a gradient over each mini batch in
>>> a map tasks and then those gradients are merged in a reduce task.
>>> Unfortunately it seems the trained param is not broadcasted at the end
>>> of each epoch and it looks like that it starts the next epoch using the
>>> initial parameter. I know it is probably a programming error which I cannot
>>> see at the moment, but I was wondering if there were some guidelines for
>>> broadcasting an object in the correct way.
>>> Is it asking too much if you could have a look at my code, please? Thank
>>> you in advance.
>>>
>>> Regards,
>>> Ventura
>>>
>>
>>
>

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