I do not know if it is because I used the normalization layer. My training data volume is about 8T, since TrainedMean and TrainedVariance are calculated after the training is finished,so this process costs a lot of time.
Is it normal to stop and save a network for more than 14 hours?
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I saved my network using the following function when it completed training progress(Fig.1). But after more than 14 hours, the network still has not finished saving process. The GPU has always been running during the saving process (Fig.2). The training data is about 8T.
net = trainNetwork(trainData,lgraph,options);
save([dir,'Anet'],'net','-v7.3')
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/434408/image.png)
Fig. 1
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/434413/image.png)
Fig. 2
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