Hi,
Sorry for the delayed reply. My notebook is up for two weeks, but my 
training isn't that long. 


On Wednesday, April 12, 2017 at 7:54:31 PM UTC+5:30, nouiz wrote:
>
> Also, note that this happen during the compilation of a Theano function. 
> It seem related to this code:
>
> <ipython-input-50-125142517723> in <module>()      2 
> print(np.random.uniform(10000, 10001, 96).shape)      3 test_var = 
> theano.shared(np.random.uniform(10000, 10001, 96).reshape(2, 3, 4, 4))----> 4 
> theano.function([], theano.tensor.nnet.relu(test_var))()
>
> Fred
>
> This was just an example that I showed. But not the traceback of the code 
which stopped at 20th epoch. I actually don't understand that one week 
window which you said. Does it apply to imports as well (importing theano) 
or only compiled theano functions ?  

>
>
> On Mon, Apr 10, 2017 at 8:44 AM Ramana Subramanyam <[email protected] 
> <javascript:>> wrote:
>
>> Hi,
>> This is the traceback I'm getting when I tried to compute ReLU with 
>> bigger values(As it was reported in OpenAI Gym that ReLU from 
>> tensor.nnet.relu isn't stable, 
>> https://github.com/openai/improved-gan/blob/master/mnist_svhn_cifar10/nn.py#L12
>>  
>> ) : http://dpaste.com/28DM3WX
>> I tried on CPU and it works as expected
>>
>> Regards, 
>> Ramana
>>
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>
Regards, 
Ramana

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