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the full error messge.

On Mon, Sep 19, 2016 at 3:43 PM, Guillaume Thibault <firet...@gmail.com>
wrote:

> 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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