cuDNN error on zbook when running R-CNN Example
7 views (last 30 days)
Show older comments
I am attempting to run the R-CNN example code found here: Train an R-CNN deep learning object detector - MATLAB trainRCNNObjectDetector (mathworks.com)
Whenever I run it I get the following error:
Failed to initialize the cuDNN handle. Return code was CUDNN_STATUS_INTERNAL_ERROR.
Error in rcnnObjectDetector.train (line 222)
detector.Network = trainNetwork(dispatcher, layers, opts);
Error in trainRCNNObjectDetector (line 197)
detector = rcnnObjectDetector.train(trainingData, layers, options, params);
Error in TrainRCNNStopSignDetectorExample (line 23)
rcnn = trainRCNNObjectDetector(stopSigns, layers, options, 'NegativeOverlapRange', [0 0.3]);
I did a little research and it looks like it may have something to do with my GPU? But my knowledge on the topic ends there as it seems that my drivers are up to date and such.
I am running Matlab R2017a, below are the specs for the GPU:
CUDADevice with properties:
Name: 'Quadro T1000 with Max-Q Design'
Index: 1
ComputeCapability: '7.5'
SupportsDouble: 1
DriverVersion: 11
ToolkitVersion: 8
MaxThreadsPerBlock: 1024
MaxShmemPerBlock: 49152
MaxThreadBlockSize: [1024 1024 64]
MaxGridSize: [2.1475e+09 65535 65535]
SIMDWidth: 32
TotalMemory: 4.2950e+09
AvailableMemory: 3.2722e+09
MultiprocessorCount: 14
ClockRateKHz: 1350000
ComputeMode: 'Default'
GPUOverlapsTransfers: 1
KernelExecutionTimeout: 1
CanMapHostMemory: 1
DeviceSupported: 1
DeviceSelected: 1
0 Comments
See Also
Categories
Find more on Deep Learning with GPU Coder in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!