cuDNN error on zbook when running R-CNN Example

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Alexander Kelly
Alexander Kelly 2021-11-24
评论： yanqi liu 2021-12-15
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

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回答（1 个）

yanqi liu
yanqi liu 2021-11-25
yes，sir，may be check the cuda and cudnn config，such as
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Alexander Kelly
Alexander Kelly 2021-12-14
I have also gone about installing the cuDNN libarary as well into the cuda toolkit folders as instructed here but I am still getting the error
yanqi liu
yanqi liu 2021-12-15
yes，sir，i think may be use
train on cpu，such as
options = trainingOptions(your other config, ...
'ExecutionEnvironment', 'cpu');
or
update your version, such as R2021 version

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