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?
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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?
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Answers (2)
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.
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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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