The recommended solution would be to use device=cuda instead of device=gpu to 
use the gpuarray backend.  Also, you might want to use Theano 1.0 since a 
number of fixes have been made in the GPU backend.

If that isn’t possible, upgrade the nvidia driver.

> Le 8 nov. 2018 à 03:19, limoran...@gmail.com a écrit :
> 
> Hello, everyone, here is my problem.
> 
> My environment is
> Titan V; nvidia driver 390.77
> Ubuntu16.06; Cuda 8.0; cudnn 6.0.21; python2.7 anaconda
> (I have also tried on ubuntu14.04 cuda7.5 cudnn5.1. Same error as below.)
> And I used conda to install theano as: $conda install theano==0.9.0 
> I configured ~/.theanorc as follows:
> <theanorc.png> <about:invalid#zClosurez><Excption.png>
> 
> 
> Thanks a lot for any replication!!!
> 
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> <theanorc.png><Excption.png>

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