I am facing exactly the same issue on a cluster.
Anyone has an idea how to fix it?
Regards,

Le vendredi 22 janvier 2016 13:08:22 UTC-8, Tejas Khot a écrit :
>
> I have a fresh nvidia driver-361.18, cuda-7 and cudnn-6.5 installation 
> done on my Ubuntu 14.04 machine. 
> My gpu is detected and I can run tensorflow smoothly. However, I get a 
> segmentation fault on importing theano.
>
> theano-cache clear
> doesn't seem to solve it.
>
> Here is the output:
> Python 2.7.6 (default, Jun 22 2015, 17:58:13) 
> Type "copyright", "credits" or "license" for more information.
>
> IPython 4.0.2 -- An enhanced Interactive Python.
> ?         -> Introduction and overview of IPython's features.
> %quickref -> Quick reference.
> help      -> Python's own help system.
> object?   -> Details about 'object', use 'object??' for extra details.
>
> In [1]: import tensorflow
> I tensorflow/stream_executor/dso_loader.cc:101] successfully opened CUDA 
> library libcublas.so.7.0 locally
> I tensorflow/stream_executor/dso_loader.cc:101] successfully opened CUDA 
> library libcudnn.so.6.5 locally
> I tensorflow/stream_executor/dso_loader.cc:101] successfully opened CUDA 
> library libcufft.so.7.0 locally
> I tensorflow/stream_executor/dso_loader.cc:101] successfully opened CUDA 
> library libcuda.so locally
> I tensorflow/stream_executor/dso_loader.cc:101] successfully opened CUDA 
> library libcurand.so.7.0 locally
>
> In [2]: import theano
> Segmentation fault
>
>
> I have tried reinstalling theano and upgrading as well using
> sudo pip install Theano --upgrade
> but this error still persists.
>
> Contents of .theanorc
> [global]
> floatX=float32
> device=gpu0
>
> [blas]
> ldflags = -L/usr/local/lib -lopenblas
>
> [nvcc]
> fastmath=True
>
> [cuda]
> root=/usr/local/cuda
>
> I haven't faced this issue with theano in the past. Can someone help me 
> solve this please.
>
>

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