Using GPU with built-in machine learning functons

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Tasos 2018-5-24

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https://ww2.mathworks.cn/matlabcentral/answers/402404-using-gpu-with-built-in-machine-learning-functons

评论： Astarag Chattopadhyay 2018-6-4

I wanted to check the speed-up of my classification task when using the GPU instead of the CPU. More specifically I tried something like:

          tic
          NB=fitcnb(gpuArray(train_values), train_labels,'KFold',5,'CrossVal','on');
          kfoldLoss(NB)
          time_upNB=toc;

but I am getting a "Conversion to double from gpuArray is not possible." error. Is my syntax wrong or is this not possible?

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Tasos 2018-6-1

Yes, of course. The array "train_values" contains double numbers, while the vector "train_labels" contains zeros and ones.

Astarag Chattopadhyay 2018-6-4

在 MATLAB Online 中打开

Hi Tasos,

It is hard to tell from which part of the code you are getting this error. In general, this error occurs when you try to save any gpuArray calculation result to a variable. As an example

A = magic(5);
Agpu = gpuArray(A);
B = zeros(5);
for i = 1:5
  B(i,i) = Agpu(i,i) * Agpu(i,i);
end

This code snippet will throw the same error as you are getting. You need to preallocate B as gpuArray to workaround this:

iA = magic(5);
Agpu = gpuArray(A);
Bgpu = gpuArray(zeros(5));
for i = 1:5
  Bgpu(i,i) = Agpu(i,i) * Agpu(i,i);
end

I will suggest you put breakpoints in your code to see where you are getting the error and most probably you need do a gpuArray conversion at that line of code.

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