When I want to train Fully convolutional neural network, I have the following error

2 visualizaciones (últimos 30 días)
Error using trainNetwork (line 154)
Unexpected error calling cuDNN: CUDNN_STATUS_BAD_PARAM.
Error in Essai_example (line 154)
net = trainNetwork(trainingData,lgraph,options);
Caused by:
Error using nnet.internal.cnngpu.convolveForward2D
Unexpected error calling cuDNN: CUDNN_STATUS_BAD_PARAM.
  2 comentarios
Ahmed Zaafouri
Ahmed Zaafouri el 3 de Dic. de 2022
I try to use the answer in the mathworks community but the problem persists
Ahmed Zaafouri
Ahmed Zaafouri el 3 de Dic. de 2022
Matlab R2018a
and gpuDevice has the following characteristics
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: 1.6950e+09
MultiprocessorCount: 2
ClockRateKHz: 1006000
ComputeMode: 'Default'
GPUOverlapsTransfers: 1
KernelExecutionTimeout: 1
CanMapHostMemory: 1
DeviceSupported: 1
DeviceSelected: 1

Iniciar sesión para comentar.

Respuestas (1)

Joss Knight
Joss Knight el 18 de Dic. de 2022
I suspect your best bet here is to upgrade MATLAB to a more recent version. Many of these bugs will be fixed with newer versions of the NVIDIA libraries.

Categorías

Más información sobre Sequence and Numeric Feature Data Workflows en Help Center y File Exchange.

Productos


Versión

R2018a

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by