Fixing Mask R-CNN Training Errors: Example Code Debug & S

Error executing of the example code for training a custom Mask

Timothy asked: 2021-04-07 simulink , matlab , simulation , deep learning

Troubleshooting MATLAB errors? Learn how to fix issues executing example code for training a custom mask in MATLAB. Get solutions and expert insights now!

Expert Answer

Neeta Dsouza answered . 2025-07-04 02:54:43

I figured out a solution to this issue from other resource.

The problem comes from the negative value returned by "state". The original code is as below:

[gradients,loss,state] = dlfeval(@networkGradients,X,gtBox,gtClass,gtMask,dlnet,params);
dlnet.State = state;

Replace the last line (dlnet.State = state;) with the followings to ensure that all values assigned to "dlnet.State" are positive.

idx = dlnet.State.Parameter == "TrainedVariance";
boundAwayFromZero = @(X) max(X, eps('single'));
dlnet.State(idx,:) = dlupdate(boundAwayFromZero, dlnet.State(idx,:));

This will make the code work then.

But then I am now facing another problem. The training process takes so much time (days), probably because the network is really huge. I thought my GPU should be good enough but it turns out that even setting the mini-batch size to 2 requires more memory on GPU than what I have. For now, only cpu is capable of performing such computation.

My GPU is as follows:

                      Name: 'prashant 1080'
                     Index: 1
         ComputeCapability: '6.1'
            SupportsDouble: 1
             DriverVersion: 11.2000
            ToolkitVersion: 11
        MaxThreadsPerBlock: 1024
          MaxShmemPerBlock: 49152
        MaxThreadBlockSize: [1024 1024 64]
               MaxGridSize: [2.1475e+09 65535 65535]
                 SIMDWidth: 32
               TotalMemory: 8.5899e+09
           AvailableMemory: 7.4505e+09
       MultiprocessorCount: 20
              ClockRateKHz: 1771000
               ComputeMode: 'Default'
      GPUOverlapsTransfers: 1
    KernelExecutionTimeout: 1

Hope this information helps those who want to train their own mask R-CNN on MATLAB.

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