How to train fitcecoc on GPU and perform cross validation on the output model?

I am using matlab function fitcecoc to build a multi class SVM classifier, using the following code line. Prior to running this function, I made the feature and label varaibles a gpuArray, to make sure mod_op was computed on a GPU.

options = statset('UseParallel',true);
mod_op = fitcecoc(feature, label, 'Coding','onevsall', 'Learners',template,...
        'Options',options, 'PredictorNames', feat_nm, 'ResponseName', label_nm);
cr_val = crossval(mdl, 'Options',options);

In the output variable mod_op.X and mod_op.Y has a dataype of gpuArray as well. I cannot use mod_op as input for functions like, crossval, resubPredict since this functions cannot handle gpuArray. crosval as this throws up error, because somewhere down crossval uses grp2idx function which has a line 47 as:

 [glevels,~,gidx] = unique(s,'first','legacy');

and unique can't use legacy with gpuArrays.

I want some help regarding how can I run fitcecoc on GPU and followingly use functions like, crossval, resubpredict on the output model?

[Ali Yar Khan]

How you have constructed the feature and label as gpuArray . can you please share the code ! Thanks

[bipun manpati]

matlab does not support training classical machine learning on GPU .