Cuda with Turing GPU and NeuralNetworkToolbox in 2017b

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GW
GW 2018-10-26
评论： M J 2020-12-7
Im running Matlab 2017b with update 9 and I wanted to train a convolutional neural net using trainNetwork(...) together with a Nvidia Turing GPU (RTX 2070, Driver version 416.34). However, there is an error message showing up after quite a bit of delay:
_
Training on single GPU.
Initializing image normalization.
|=======================================================================================================================|
| Epoch | Iteration | Time Elapsed | Mini-batch | Validation | Mini-batch | Validation | Base Learning|
| | | (seconds) | Loss | Loss | RMSE | RMSE | Rate |
|=======================================================================================================================|
Error using trainNetwork (line 140)
Unexpected error calling cuDNN: *CUDNN_STATUS_EXECUTION_FAILED.*
Error in NetTrainTest (line 67)
net = trainNetwork(inputConv,outputConv,layers,options);
Caused by:
Error using nnet.internal.cnngpu.convolveForward2D
Unexpected error calling cuDNN: CUDNN_STATUS_EXECUTION_FAILED._
When I train the network using the CPU, everything is fine. I also do not get any errors when I use normal calculus with GPU arrays, everything works fine.
The output of gpuDevice is as follows:
Name: 'GeForce RTX 2070'
Index: 1
ComputeCapability: '7.5'
SupportsDouble: 1
DriverVersion: 10
ToolkitVersion: 8
MaxThreadsPerBlock: 1024
MaxShmemPerBlock: 49152
MaxThreadBlockSize: [1024 1024 64]
MaxGridSize: [2.1475e+09 65535 65535]
SIMDWidth: 32
TotalMemory: 8.5899e+09
AvailableMemory: 7.6195e+09
MultiprocessorCount: 36
ClockRateKHz: 1620000
ComputeMode: 'Default'
GPUOverlapsTransfers: 1
KernelExecutionTimeout: 1
CanMapHostMemory: 1
DeviceSupported: 1
DeviceSelected: 1
Any ideas on what causes this issue? Thank you for your reply.

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采纳的回答

Joss Knight
Joss Knight 2018-10-26
This is a bit distressing, to discover this. However, if the option is available to you, you should upgrade MATLAB to 18a or 18b. 17b does not natively support Turing and there may be issues.
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Walter Roberson
Walter Roberson 2020-12-7
Sorry, my mistake. The RTX 2xxx should be fine in R2020b. It is the RTX 3xxx that are not ready, along with the RTX A6000
https://en.wikipedia.org/wiki/Ampere_(microarchitecture)#Products_using_Ampere

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