Help me for this CUDA Error

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This is regarding my Project Work doing on Matlab for detection of Diabetic Retinopathy stages using MATLAB.
trainingData=imageDatastore('datastorage',...
'IncludeSubFolders',true,'LabelSource','foldername');
[imdsTrain,imdsValidation]=splitEachLabel(trainingData,0.75,'randomized');
countEachLabel(trainingData);
categories={'Mild NPDR','Moderate NPDR','No DR','Proliferative DR','Severe NPDR'};
layer='fc1';
netLayers = [imageInputLayer([227 227 3],'Name','inp')...
,convolution2dLayer(12,25,'Name','conv1')...
,reluLayer('Name','rel_1')...,
maxPooling2dLayer(3,'Stride',2,'Name','pool_1')...
,convolution2dLayer(12,25,'Name','conv_2')...
,reluLayer('Name','relu_2')...,
maxPooling2dLayer(3,'Stride',2,'Name','pool_2')...
,batchNormalizationLayer('Name','bn1')...
,convolution2dLayer(12,25,'Name','conv_3')...
,batchNormalizationLayer('Name','bn2')...
,reluLayer('Name','relu_3')...,
maxPooling2dLayer(3,'Stride',2,'Name','pool_3')...
,fullyConnectedLayer(5,'Name','fc1')...
,softmaxLayer('Name','sm1')...
,classificationLayer('Name','cl_out')];
lgraph=layerGraph(netLayers);
analyzeNetwork(lgraph);
inputSize=[227 227 3];
augmidsTest=augmentedImageDatastore(inputSize(1:2),imdsValidation);
netOptions = trainingOptions("sgdm",'MiniBatchSize',64, ...
'InitialLearnRate',0.001, ...
'MaxEpochs',20, ...
'Plots','training-progress',...
'ValidationData',augmidsTest,...
'ExecutionEnvironment','cpu');%'cpu' for single cpu, 'gpu' for single gpu,'parallel' for multi-cpu/gpu
ASNet= trainNetwork(trainingData, netLayers, netOptions);
featuresTrain=activations(ASNet,imdsTrain,layer,'OutputAs','rows');
featuresTest=activations(ASNet,imdsValidation,layer,'OutputAs','rows');
svmtrain=fitcecoc(featuresTrain,imdsTrain.Labels);
YPred=predict(svmtrain,featuresTest);
plotconfusion(imdsValidation.Labels,YPred);
featuresTrain=double(featuresTrain);
trainingLabels=imdsTrain.Labels;
trainingLabels=cellstr(trainingLabels);
t=templateSVM('standardize',1);
mdl=fitcecoc(double(featuresTrain),cellstr(trainingLabels),'Learners',t,'FitPosterior',1,'ClassNames',{'Mild NPDR','Moderate NPDR','No DR','Proliferative DR','Severe NPDR'});
[cm,order] = confusionmat(imdsValidation.Labels,YPred);
tp=cm(1,1)+cm(2,2)+cm(3,3)+cm(4,4);
tn=cm(5,5);
fp=cm(1,2)+cm(1,3)+cm(1,4)+cm(1,5)+cm(2,1)+cm(2,3)+cm(2,4)+cm(2,5)+cm(3,1)+cm(3,2)+cm(3,4)+cm(3,5)+cm(4,1)+cm(4,2)+cm(4,3)+cm(4,5);
fn=cm(5,1)+cm(5,2)+cm(5,3)+cm(5,4);
precision = tp / (tp + fp);
recall = tp / (tp + fn);
accuracy=(tp+tn)/(tp+fp+fn+tn);
F1 = (2 * precision * recall) / (precision + recall);
predictedLabels=predict(mdl,featuresTest);
[predictedLabels,~,~,Posterior]=predict(mdl,featuresTest);
testLabels=imdsValidation.Labels;
testLabels=cellstr(testLabels);
[X,Y]=perfcurve(testLabels,Posterior(:,4),'No DR');
[A,B]=perfcurve(testLabels,Posterior(:,1),'Mild NPDR');
[C,D]=perfcurve(testLabels,Posterior(:,2),'Moderate NPDR');
[E,F]=perfcurve(testLabels,Posterior(:,5),'Severe NPDR');
[G,H]=perfcurve(testLabels,Posterior(:,3),'Proliferative DR');
p=linspace(0,1);
q=linspace(0,1);
figure
plot(p,q);
hold on;
plot(X,Y,'r-*');
hold on;
plot(A,B,'g-*');
hold on;
plot(C,D,'b-*');
hold on;
plot(E,F,'y-*');
hold on;
plot(G,H,'c-*');
xlabel('FPR');
ylabel('TPR');
legend(categories);
%ASNet=deerNet;
save ASNet;
The code runs perfectly on My Laptop, which has AMD Radeon 530
But, when I try to run the same code in college computer, it shows unexpected launch failure, which uses NVIDIA GT710, error is CUDA_ERROR_LAUNCHED_FAILURE
Please do help me

Accepted Answer

Joss Knight
Joss Knight on 12 Apr 2022
I see two calls to predict which don't specify ExecutionEnvironment and therefore will be trying to use your college computer's NVIDIA card. Add " ExecutionEnvironment='cpu' " to those calls.
  3 Comments
Akshay Sharma A S
Akshay Sharma A S on 16 Apr 2022
I got the problem Solved We need to disable the graphics driver and then restart MATLAB It will work

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