Deep learning toolbox: Failed to plot animated loss curve during the training process.

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.

% 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);

Answer 1

[Monisha Nalluru]

The issue could be caused by Graphics Drivers

Launching MATLAB from command prompt using "-softwareopenglmesa" flag will fix the above issue