There is a way to install it with conda, bit that version have a bug that
give good result. So you probably should wait for the RC next week that
should have new conda package.

Fred

Le ven. 10 févr. 2017 17:31, <gcilibra...@twmi.rr.com> a écrit :

> I have a Fedora 25 operating system.  I have upgraded theano to 0.9.1b1 in
> the hope that I would pickup the latest gpuarray and pygpu backends.  I
> have recently been using keras to run CNN's for the Kaggle fish
> competition.  I have multiple gpu's in my machine that I run separately to
> work on tuning hyperparameters. I have been using cuda0, cuda1, etc to
> identify the gpu to run on each problem.  I get warnings that pygpu cannot
> be imported and the cuda backend is deprecated.   I can still run my
> problems, but!. So I want to get the new backend, but the latest theano
> does not contain it.  Trying to install gpuarray 0.2 is extremely cryptic
> utilitizing cmake as described on their website.  Is there a nice step by
> step description of the process, or is the another format for the package
> that is nice and simple to install.  If this is the new backend for theano,
> there is not much support for implementing it.
>
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