Does MATLAB 2018b Support NVIDIA GeForce 2080 Ti RTX For Creating/T​raining/Im​plementing Deep Learning Neural Networks, And, If So, Then Which Version Of CUDA Should I Use?

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Does MATLAB 2018b Support NVIDIA GeForce 2080 Ti RTX For Creating/Training/Implementing Deep Learning Neural Networks, And, If So, Then Which Version Of CUDA Should I Use?

Answers (2)

Walter Roberson
Walter Roberson on 14 Jan 2019

Joss Knight
Joss Knight on 19 Jan 2019
Yes, you can. Use the following workaround to avoid annoying warnings and errors:
warning off parallel:gpu:device:DeviceLibsNeedsRecompiling
try
gpuArray.eye(2)^2;
catch ME
end
try
nnet.internal.cnngpu.reluForward(1);
catch ME
end
You can put this in your startup.m, for instance.
It is a common misconception to think that you need to install a particular version of CUDA. The vast majority of users just need to get the most recent driver appropriate for their GPU.
  6 Comments
AILEEN SENGUPTA
AILEEN SENGUPTA on 3 Apr 2022
I am sorry this problem seems to still have an appearence in my code:
Error using DAGNetwork/classify (line 193)
Failed to initialize the cuDNN handle. Return code was CUDNN_STATUS_NOT_INITIALIZED.
Error in SeriesNetwork/classify (line 577)
[labels, scores] = this.UnderlyingDAGNetwork.classify(X, varargin{:});
Any help is appreciated.
Thanks,
Aileen

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