Thanks Pascal,

but I've already enabled that flag and it correctly warns me about foat64 
variables. The problem though is that it doesn't specify which variable or 
expression was responsible for the warning in the first place. What I am 
asking is if there is an easy way to quickly find the variable that raised 
the warning?

On Tuesday, September 6, 2016 at 6:56:53 PM UTC+1, Pascal Lamblin wrote:
>
>
> http://deeplearning.net/software/theano/library/config.html#config.warn_float64
>  
>
> On Tue, Sep 06, 2016, [email protected] <javascript:> wrote: 
> > Hello, 
> > 
> > does anyone know what is the easiest  way to pinpoint float64 tensors in 
> > our code, because when I usually run code not generated by me it often 
> > happens that they use float64 for the creation of tensors. For instance 
> I'm 
> > trying to run the example of rnn_rbm from the theano examples and I 
> usually 
> > get  the exception warning me about the use of float64 in the code but I 
> > can't easily pinpoint where that piece of code might be. 
> > 
> > Is there any way to let's say print all al the float64 variables in the 
> > code or some other alternative that would easily allow to pinpoint where 
> in 
> > the code those float64 variables are being initialized? 
> > 
> > 
> > Thanks :). 
> > 
> > 
> > -- 
> > 
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>
> -- 
> Pascal 
>

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