Error in validation datastore while I am training in parallel

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Roaa Alnafea
Roaa Alnafea 2022 年 7 月 10 日
I am trying to train deep learning network on FaceForensics data set,
I use spliteachLabel to divide the data into 2 sets one for training and one for validation,
when I train in my cpu I didn't get any error ,
but when I trained in parallel I get the following error:
Error using trainNetwork (line 184)
Dot indexing is not supported for variables of this type.
Error in mylayers3D (line 137)
[lgraph,trainInfo] = trainNetwork(imds,lgraph,optionsadam);
Caused by:
Error using nnet.internal.cnn.ParallelTrainer/train (line 96)
Error detected on worker 1.
Error using nnet.internal.cnn.util/ValidationStatelessPredictStrategy/predictAndComputeLoss (line 136)
Dot indexing is not supported for variables of this type.
below the split code
imds = imageDatastore(datasetLocation,'IncludeSubfolders',true,'LabelSource','foldernames','FileExtensions',{'.jpg'});
[imdstraining, validdata]=splitEachLabel(imds, 0.6);
optionsadam = trainingOptions("adam",Plots="training-progress", verbose=1, ValidationFrequency=10,Epsilon=1e-8, MaxEpoch=200, MiniBatchSize=60, InitialLearnRate=0.0001, shuffle='every-epoch',ExecutionEnvironment="parallel",ValidationData=validdata);
any help to prevent this error ?

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