Hi,

For many reasons, multi GPU on Windows don't work. Nvidia don't have good
support for it, so event if we wanted to support it, it would be hard and
much less efficient.

The problems is at least that your GPU is very old and don't have much
memory. Using two of them will not help you much. The multi GPU that Theano
currently support via platoon would help your case. It support only data
parallelism.

Fred

Le sam. 11 mars 2017 17:40, Ravi Teja <[email protected]> a écrit :

> Hi all,
>
>
> I am a beginner in deep learning/theano/keras.I'm trying to figure out how
> to use multiple gpus on windows 7. I've had success installing
> Theano,keras(as described in this post How do I install Keras and Theano
> in Anaconda Python on Windows?
> <http://stackoverflow.com/questions/34097988/how-do-i-install-keras-and-theano-in-anaconda-python-on-windows>)
> and using one gpu. I want to use both my gpus
>
> Following are the details of configs and versions
>
> Python - 2.7(Anaconda-4.3.14,Windows-64bit) ,CUDA - 7.5.17 ,Theano -
> 0.9.0rc3 ,keras - 1.2.2 ,pycuda - 2016.1.2+cuda7518 ,gpu - Geforce GTX
> 480(2 of them)
>
> Theano configuration is as below .theanorc.txt
>
>
> [global]
> floatX = float32
> device = gpu
> [nvcc]
> flags=-LC:\ProgramData\Anaconda2\libs
> compiler_bindir=C:\Program Files (x86)\Microsoft Visual Studio 12.0\VC\bin
> [lib]
> cnmem=0.8
>
>
> Currently I'm able to use only one GPU and I am getting memory error as
> below when I try to fit the model
>
> MemoryError: ('Error allocating 411041792 bytes of device memory
> (CNMEM_STATUS_OUT_OF_MEMORY).', "you might consider using
> 'theano.shared(..., borrow=True)'")
>
>
> Does using 2 gpus solve the problem(if yes, how do I enable the second
> one?) or is my model too big ?
>
>
>
> Thank You
>
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