Error using trainNetwork for network with multiple input

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I having a CNN that using two input where one of the input using zscore for normalization while the another input using zerocentre normalization (The input data are the same except for normalization setting). However when i tried to train the network using the following command the error occur (Invalid training datastore. For network with multiple inputs, used combined or transformed datastore.). I'm not sure how to insert 2 input into trainNewtork function. Hope someone could help me on this. Thank you very much.
imds = imageDatastore('MerchData', 'IncludeSubfolders',true, 'LabelSource','foldernames');
[imdsTrain,imdsValidation] = splitEachLabel(imds,0.7);
augimdsTrain = augmentedImageDatastore(inputSize(1:2),imdsTrain)
augimdsValidation = augmentedImageDatastore(inputSize(1:2),imdsValidation)
% the rest of the code -----
[testnet,traininfo] = trainNetwork(augimdsTrain,lgraph_1,options);
The two input are as followed
input 1 (normalization: zscore)
input 2 (normalization: zerocentre)

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Srivardhan Gadila
Srivardhan Gadila 2021년 10월 5일
As per the above information, data for both the inputs is same except for normalizations on the input data, so you can create a combined datastore as follows:
cds = combine(imds,imds,labelds);
For more information, you can refer to the following pages on what should be the data format for multiple input networks trainNetwork - Data format & Multiple-Input and Multiple-Output Networks.
Since we are using augmentedImageDatastore and there is a knwon issue on combining the augmentedImageDatastores directly. The workaround is to apply transform on the augmentedImageDatastore and combine it. Also we have to do some other changes to make the workflow possible, as follows:
augimdsTrain.MiniBatchSize = 1;
taugimdsTrain = transform(augimdsTrain,@(x)x{1,1});
labelsTrain = transform(augimdsTrain,@(x){x{1,2}});
% combine the datastores
cds = combine(taugimdsTrain,taugimdsTrain,labelsTrain);
For more information, refer to the following answer on similar issue with other datastore when combining Error Combining two pixelLabelImageDatastores or randomPatchExtractionDatastores.
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Ali Hajnayeb
Ali Hajnayeb 2021년 12월 19일
I have applied your suggested approach, but when I added validation option, I saw this message:
"Multi-input networks do not support validation."

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