This is merged. You must use theano dev version:

http://deeplearning.net/software/theano/install.html#bleeding-edge-install-instructions

Fred

On Sat, Oct 8, 2016 at 9:31 PM, Asish Kumar G <[email protected]>
wrote:

> Hi Philipp,
>
> I am also facing the same issue. Are you able to successfully implement
> pool_2d using the updated PR? Any idea if they have made updates for theano
> to work with CPU also(as I don't have GPU)?
>
> Thanks
> Asish
>
> On Thursday, February 11, 2016 at 6:39:43 AM UTC-5, Philipp Grothaus wrote:
>
>> That's great. Thanks! I am using cudnn and will follow that PR.
>>
>> On Wednesday, February 10, 2016 at 7:28:31 PM UTC, nouiz wrote:
>>>
>>> There is a PR that allow this only on the cudnn version of pooling. So
>>> if you use cudnn and GPU, you can try this PR:
>>>
>>> Mostly, it is finished, excact that it break old pickled files. The PR
>>> author is working on this:
>>>
>>> https://github.com/Theano/Theano/pull/3965
>>>
>>> Fred
>>>
>>> On Wed, Feb 10, 2016 at 8:43 AM, Philipp Grothaus <[email protected]
>>> > wrote:
>>>
>>>> Hi,
>>>>
>>>> I was wondering whether it is possible to keep the pooling size and
>>>> stride of signal.downsample.pool_2d unfixed at compile time. In other
>>>> words, is there a way to infer ds and st from the input dimensions through
>>>> a theano expression, instead of passing a tuple of integers to them?
>>>>
>>>> I'd like to do that in order to adapt the window size and stride to the
>>>> input dimensions of an image such that the output of the pooling operation
>>>> has a fixed dimension.
>>>>
>>>> Philipp
>>>>
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>>>
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