I have a problem when I want to train fully convolutional network even i tried to find the solutions in the mathwork.

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Ahmed Zaafouri
Ahmed Zaafouri el 1 de Dic. de 2022
Comentada: Ahmed Zaafouri el 1 de Dic. de 2022
Error using trainNetwork (line 154)
Unexpected error calling cuDNN: CUDNN_STATUS_BAD_PARAM.
Error in fcnAlexNet_US (line 222)
net = trainNetwork(trainingData,lgraph,options);
Caused by:
Error using nnet.internal.cnngpu.convolveForward2D
Unexpected error calling cuDNN: CUDNN_STATUS_BAD_PARAM.
The gpuDevice characteristics are
CUDADevice with properties:
Name: 'GeForce MX110'
Index: 1
ComputeCapability: '5.0'
SupportsDouble: 1
DriverVersion: 11.2000
ToolkitVersion: 9
MaxThreadsPerBlock: 1024
MaxShmemPerBlock: 49152
MaxThreadBlockSize: [1024 1024 64]
MaxGridSize: [2.1475e+09 65535 65535]
SIMDWidth: 32
TotalMemory: 2.1475e+09
AvailableMemory: 1.6044e+09
MultiprocessorCount: 2
ClockRateKHz: 1006000
ComputeMode: 'Default'
GPUOverlapsTransfers: 1
KernelExecutionTimeout: 1
CanMapHostMemory: 1
DeviceSupported: 1
DeviceSelected: 1

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