It works! Thanks On Thursday, 29 September 2016 21:18:31 UTC+9, Jelly wrote: > > The same problem occurred when I updated the scipy package.Whenever I run > "import theano" , It always raised "Segment fault" error. First I thought > it was the issue of the version,and tried to install and unistall different > versions of scipy and theano. However it didn't work. So I've done as you > did, and found that there was a confliction between scipy and theano.So I > tried to unistall scipy and "import theano" again,it surpriselly worked.But > when I installed the scipy with pip ,the same problem occurred,no matter > which version was.Only when I unistall scipy with pip can it work well.Also > as you suggested,I installed scipy through conda , and i can both import > scipy and theano without any error. Thanks very much!! > > On Monday, September 26, 2016 at 8:47:42 AM UTC+8, Pascal Lamblin wrote: >> >> I had a similar issue yesterday, and it turned out that my conda env >> had numpy installed through conda, but scipy installed through pip. >> Reinstalling scipy from conda solved the issue. >> >> I diagnosed it by launching "python -v" and then "import theano", and >> the last lines mentioned importing scipy. >> >> Hope this helps. >> >> On Sat, Sep 24, 2016, Max wrote: >> > I fixed the problem by doing a conda update of dependencies >> > conda install numpy scipy mkl nose sphinx pydot-ng >> > >> > and then the Segment fault error message went away >> > >> > On Friday, January 22, 2016 at 4:08:22 PM UTC-5, Tejas Khot wrote: >> > > >> > > 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. >> > > >> > > >> > >> > -- >> > >> > --- >> > You received this message because you are subscribed to the Google >> Groups "theano-users" group. >> > To unsubscribe from this group and stop receiving emails from it, send >> an email to [email protected]. >> > For more options, visit https://groups.google.com/d/optout. >> >> >> -- >> Pascal >> >
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