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condor
Posts:
30
Registered:
3/2/10
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Re: GPU and Neural Network ... is this operation legitimate?
Posted:
Nov 20, 2012 6:02 AM
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"condor" wrote in message <k8fmkc$t3v$1@newscl01ah.mathworks.com>...
> "condor" wrote in message <k8fiu8$hoe$1@newscl01ah.mathworks.com>...
> > Hi, I need to compute many simple Neural Networks... thousands.
> >
> > I would like to use a parallel for on the GPU.
> >
> > The FIRST problem is that I am not able to compute the net on the GPU:
> >
> > % Net creation
> > hiddenLayerSize = 10;
> > net = fitnet(hiddenLayerSize);
> > % Setup Division of Data for Training, Validation, Testing
> > net.divideParam.trainRatio = 70/100;
> > net.divideParam.valRatio = 15/100;
> > net.divideParam.testRatio = 15/100;
> > %Training
> > net.trainFcn = 'trainscg';
> > net.trainParam.showWindow = false;
> > net.trainParam.showCommandLine = false;
> > % Send input and target on the GPU
> > input_A=gpuArray(input)
> > target_A=gpuArray(target)
> > % Train
> > [net_new,~] = train(net,input_A,target_A)
> >
> > I receive this error:
> > Error using network/train (line 293)
> > Number of samples (rows of gpuArrays) of data arguments do not match.
> >
> > QUESTION:
> > Is it possibile to compute the net on the GPU (I want that every core train a different net)? If yes, what am I doing wrong?
>
>
> Cool! I resolved! This is the code:
>
> >> input_A=gpuArray(input);
> >> input_A=nndata2gpu(input);
> >> target_A=nndata2gpu(target);
> >> net=configure(net,input,target);
> >> net=train(net,input_A,target_A);
>
> I am not sure if it is using all the GPU or just one core as I want....
>
> Now I need to create a parallel for ... any idea?
Sorry little mistake..... THIS IS CORRECT
input_A=nndata2gpu(input);
target_A=nndata2gpu(target);
net=configure(net,input,target);
net=train(net,input_A,target_A);
any idea for a parallel for on the GPU
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