Training Semantic Segmentation out of memory

i have error when trying to training my datasets in semantic segmentation using deep learning. this is my code:

doTraining = true;
if doTraining
    [net,info] = trainNetwork(pximds,lgraph,options);
    save ('D:\TAEvianita\video\tilesdatase\Pretraineddata.mat','net');
    disp('NN trained')
else
    %load the pre-trained network
     data = load('D:\TAEvianita\video\tilesdatase\net_checkpoint__266__2019_12_23__23_44_28.mat')
     net = data.net
end

and this is my training options

options = trainingOptions('sgdm', ...
    'ExecutionEnvironment','gpu',...
    'LearnRateSchedule','piecewise',...
    'LearnRateDropPeriod',10,...
    'LearnRateDropFactor',0.3,...
    'Momentum',0.9, ...
    'InitialLearnRate',1e-3, ...
    'L2Regularization',0.005, ...
    'MaxEpochs',30, ...  
    'MiniBatchSize',2, ...
    'Shuffle','every-epoch', ...
    'CheckpointPath','D:\TAEvianita\video\tilesdatase', ...
    'VerboseFrequency',2,...
    'Plots','training-progress',...
    'ValidationPatience', 4

and the following error I got

error using trainiNetwork (line 170), Out of memory. Type "help memory" for your options.

caused by: Out of memory. Try "help memory" for your options.