Deep learning toolbox: Failed to plot animated loss curve during the training process.
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I use deep learning toolbox to solve a regression problem. I set the 'Plots' in training options to 'training-progress'. In the intial stage, it plots well. But after several iterations, animated loss curve doesn't update. And the training process doesn't stop. I did not encounter this problem in the Matlab2020a. The present version is matlab 2020b.
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/445148/image.png)
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/445153/image.png)
% modify the architecture of resnet50 to solve a regression problem.
lgraph = resnet50_regression4(resnet50)
options = trainingOptions('adam', ...
'MiniBatchSize',miniBatchSize, ...
'MaxEpochs',300, ...
'InitialLearnRate',1e-3, ...
'LearnRateSchedule','piecewise', ...
'LearnRateDropPeriod',30, ...
'LearnRateDropFactor',0.2, ...
'Shuffle','every-epoch', ...
'ValidationData',{X_val,Y_val}, ...
'ValidationFrequency',validationFrequency, ...
'ValidationPatience',35, ...
'L2Regularization', 0.0001, ...
'GradientThreshold', 1, ...
'Verbose',true, ...
'VerboseFrequency', validationFrequency, ...
'ExecutionEnvironment', 'gpu', ...
'Plots', 'training-progress', ...
'CheckpointPath', check_path, ...
'OutputFcn',@(info)userplots(info));
[net,Info] = trainNetwork(X_train,Y_train,lgraph,options);
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Réponses (1)
Monisha Nalluru
le 7 Déc 2020
The issue could be caused by Graphics Drivers
Launching MATLAB from command prompt using "-softwareopenglmesa" flag will fix the above issue
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