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Error when using 'useGPU' for training neural networks

6 visualizaciones (últimos 30 días)
isledge el 13 de Abr. de 2016
Editada: HyeongHun LEE el 25 de Oct. de 2017
I am receiving an error whenever I try to perform patternnet training with the 'useGPU' option. I am using MATLAB R2016a under Windows 7 SP1. The error also occurs in MATLAB R2015a under Windows 7 SP1. I have the latest NVIDIA CUDA toolkit installed (version 7.5). I also have the latest NVIDIA drivers installed for my GTX 780.
Whenever I run:
MATLAB defaults to using 'trainscg' for the default training method. The training is successfully performed using the GPU. Whenever I run:
MATLAB reports that there is an error using gpuArray/arrayfun:
Error using gpuArray/arrayfun
Variable 't' changed type. Consider renaming variable on left hand side of assignment.
For more information see Tips and Restrictions.
Error in 'netHints' (line: 666)
Error in (line 133)
[perfs1,perfs2,perfs3,N1,N2,N3,dy] =
Error in nnGPUOp.perfsGrad (line 5)
[gWB,Perfs,PerfN] =
Error in nnCalcLib/perfsGrad (line 294)
Error in trainscg>initializeTraining (line 153)
[worker.perf,worker.vperf,worker.tperf,worker.gWB,worker.gradient] = calcLib.perfsGrad(calcNet);
Error in nnet.train.trainNetwork>trainNetworkInMainThread (line 28)
worker = localFcns.initializeTraining(archNet,calcLib,calcNet,tr);
Error in nnet.train.trainNetwork (line 16)
[archNet,tr] = trainNetworkInMainThread(archNet,rawData,calcLib,calcNet,tr,feedback,localFcns);
Error in trainscg>train_network (line 147)
[archNet,tr] = nnet.train.trainNetwork(archNet,rawData,calcLib,calcNet,tr,localfunctions);
Error in trainscg (line 59)
[out1,out2] = train_network(varargin{2:end});
Error in network/train (line 369)
[net,tr] = feval(trainFcn,'apply',net,data,calcLib,calcNet,tr);
If trainFnc is set to anything other than 'trainlm', such as 'trainbfg', I receive the same error.
Oddly enough, I don't encounter this error when training a feedforwardnet. I was able to succesfully use 'trainbfg', for example, without any issues. My sense is that there might be some toolbox coding issue for patternnets.

Respuestas (1)

Amanjit Dulai
Amanjit Dulai el 25 de Abr. de 2016
I suspect that the problem here is related to the type for the variable d1. I managed to replicate your error by using a single precision array for d1. Try casting it to double precision.
  1 comentario
HyeongHun LEE
HyeongHun LEE el 25 de Oct. de 2017
Editada: HyeongHun LEE el 25 de Oct. de 2017
I had a similar problem with this issue(for loop statement of gpu used-autoencoder), and solved with changed the array variable type(from single to double)in gpuarray. Thank you.

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