Hello,
I encounter a strange problem when using theano. These days I bought
a new computer and install theano on it, and I can even import it in
python with no error, but everytime I create a function, it corrupted with
"Segmentation
fault(core dumped)". Below is the detail:
I have installed theano on another two old machine, and they works
well.
This new machine is : CPU: intel 7700; GPU 2xGTX1080Ti, OS: ubuntu16.04.
CUDA 8.0, cudnn 5.1 .I use miniconda2 to install theano( conda install
theano), python 2.7, theano 0.9.0
when I import theano in python, the output is:
> *nice@fat01:~$ python*
> *Python 2.7.13 |Continuum Analytics, Inc.| (default, Dec 20 2016,
> 23:09:15) *
> *[GCC 4.4.7 20120313 (Red Hat 4.4.7-1)] on linux2*
> *Type "help", "copyright", "credits" or "license" for more information.*
> *Anaconda is brought to you by Continuum Analytics.*
> *Please check out: http://continuum.io/thanks <http://continuum.io/thanks>
> and https://anaconda.org <https://anaconda.org>*
> *>>> import theano*
> *Using cuDNN version 5110 on context None*
> *Mapped name None to device cuda1: GeForce GTX 1080 Ti (0000:02:00.0)*
> *>>> *
then I input the code from the exercise of
http://deeplearning.net/software/theano/tutorial/using_gpu.html#gpuarray
================================================================================
*import numpy*
*import theano*
*import theano.tensor as T*
*rng = numpy.random*
*N = 400*
*feats = 784*
*D = (rng.randn(N, feats).astype(theano.config.floatX),*
*rng.randint(size=N,low=0, high=2).astype(theano.config.floatX))*
*training_steps = 10000*
*# Declare Theano symbolic variables*
*x = T.matrix("x")*
*y = T.vector("y")*
*w = theano.shared(rng.randn(feats).astype(theano.config.floatX), name="w")*
*b = theano.shared(numpy.asarray(0., dtype=theano.config.floatX), name="b")*
*x.tag.test_value = D[0]*
*y.tag.test_value = D[1]*
*# Construct Theano expression graph*
*p_1 = 1 / (1 + T.exp(-T.dot(x, w)-b)) # Probability of having a one*
*prediction = p_1 > 0.5 # The prediction that is done: 0 or 1*
*xent = -y*T.log(p_1) - (1-y)*T.log(1-p_1) # Cross-entropy*
*cost = xent.mean() + 0.01*(w**2).sum() # The cost to optimize*
*gw,gb = T.grad(cost, [w,b])*
*# Compile expressions to functions*
*train = theano.function(*
* inputs=[x,y],*
* outputs=[prediction, xent],*
* updates=[(w, w-0.01*gw), (b, b-0.01*gb)],*
* name = "train")*
==============================================================================
It corrupted at this line.
I have run numpy.test() and scipy.test() and they work well, but when I run
theano.test(),
it corrupted too. The full log is too long, so I just post
the end of it:
*/home/nice/miniconda2/lib/python2.7/site-packages/
> theano/compile/nanguardmode.py:168:
> RuntimeWarning: All-NaN axis encountered*
> * return np.isinf(np.nanmax(arr)) or np.isinf(np.nanmin(arr))*
> *.E......................................../home/nice/
> miniconda2/lib/python2.7/site-packages/theano/gof/vm.py:851:
> UserWarning: CVM does not support memory profile, using Stack VM.*
> * 'CVM does not support memory profile, using Stack VM.')*
> *...........SS.............0.930614401665*
> *0.930614401665*
> *0.930614401665*
> *0.930614401665*
> *...........................................................
> ............................................................
> ...................................E/home/nice/miniconda2/
> lib/python2.7/site-packages/theano/gof/vm.py:854:
> UserWarning: LoopGC does not support partial evaluation, using Stack VM.*
> * 'LoopGC does not support partial evaluation, '*
> *.....EEEESegmentation fault (core dumped)*
I hope someone can help me.
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