Warning: Variable 'rxTrainFrames' was not saved. For variables larger than 2GB use MAT-file version 7.3 or later

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How do i keep the rxTrainFrame into workspace? my code is
dataDirectory = 'E:\SNR-Dataset\Data-18-time'
frameDS = signalDatastore(dataDirectory,'SignalVariableNames',["frame","label"],'IncludeSubfolders',true,'FileExtensions','.mat');
frameDSTrans = transform(frameDS,@helperModClassIQAsPages);
splitPercentages = [percentTrainingSamples,percentValidationSamples,percentTestSamples];
[trainDSTrans,validDSTrans,testDSTrans] = helperModClassSplitData(frameDSTrans,splitPercentages);
% Gather the training and validation frames into the memory
trainFramesTall = tall(transform(trainDSTrans, @helperModClassReadFrame));
rxTrainFrames = gather(trainFramesTall);
rxTrainFrames = cat(4, rxTrainFrames{:});
save('rxTrainFrames.mat', 'rxTrainFrames', '-v7.3')
validFramesTall = tall(transform(validDSTrans, @helperModClassReadFrame));
rxValidFrames = gather(validFramesTall);
rxValidFrames = cat(4, rxValidFrames{:});
% Gather the training and validation labels into the memory
trainLabelsTall = tall(transform(trainDSTrans, @helperModClassReadLabel));
rxTrainLabels = gather(trainLabelsTall);
rxTrainLabels = removecats(rxTrainLabels);
validLabelsTall = tall(transform(validDSTrans, @helperModClassReadLabel));
rxValidLabels = gather(validLabelsTall);
rxValidLabels = removecats(rxValidLabels);
maxEpochs = 100;
miniBatchSize = 128;
options = helperModClassTrainingOptions(maxEpochs,miniBatchSize,...
trainedNet5 = trainNetwork(rxTrainFrames,rxTrainLabels,trainedNet4 ,options);
save trainedNet5

Answers (1)

yanqi liu
yanqi liu on 17 Jan 2022
yes,sir,may be
save trainedNet5.mat trainedNet5 rxTrainFrames
then use
load trainedNet5.mat
to get it
yanqi liu
yanqi liu on 17 Jan 2022
yes,sir,may be use
save trainedNet5.mat trainedNet5 rxTrainFrames
to get file “trainedNet5.mat”
clear all;
load trainedNet5.mat
check the rxTrainFrames

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