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Parfor: Variable indexed in different ways.

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Ioannis Agalliadis
Ioannis Agalliadis 2017-9-28
评论： Greg 2017-9-29
I want to parallelize the following for loop but the I have the following problem: In a parfor loop variable 'perf' is indexed in different ways
The problem is in the 3rd line from the bottom because I index in a different way the matrix perf.
How can I avoid this problem?
NET = cell(5,11);
TR = cell(5,11);
ave_perfs = zeros(1,11);
perf = zeros(5,11);
profile on;
parfor j = 1:11
for bin = 1:5
processed_train_Ext = load([ExtensionTrainPath,'/',Features{j},'/','train',num2str(bin),'_processed_Ext'];
processed_train_Flx = load([FlexionTrainPath,'/',Features{j},'/','train',num2str(bin),'_processed_Flx']);
processed_test_Ext = load([ExtensionTestPath,'/',Features{j},'/','test',num2str(bin),'_processed_Ext']);
processed_test_Flx = load([FlexionTestPath,'/',Features{j},'/','test',num2str(bin),'_processed_Flx']);
% concatenating the training data
train_data = [processed_train_Ext.finalMatrix(:,1:end-1); processed_train_Flx.finalMatrix(:,1:end-1)];
true_train_labels = [processed_train_Ext.finalMatrix(:,end); processed_train_Flx.finalMatrix(:,end)];
%concatenating the test data
test_data = [processed_test_Ext.finalMatrix(:,1:end-1) ; processed_test_Flx.finalMatrix(:,1:end-1)];
true_test_labels = [processed_test_Ext.finalMatrix(:,end); processed_test_Flx.finalMatrix(:,end)];
%fit network
net = fitnet(5);
net.divideParam.trainRatio = 0.85;
net.divideParam.valRatio = 0.15;
net.divideParam.testRatio = 0.0;
% train and validate train data
[net, tr] = train(net,train_data',true_train_labels','useParallel','yes');
NET{bin,j} = net;
TR{bin,j} = tr;
% test newly trained network with test data
outputs = NET{bin,j}(test_data','useParallel','yes');
% calculate accuracy on the test data
perf(bin,j) = 1 - mse(net, true_test_labels, outputs);
toc
beep on; beep;
end
% calculate averages of the errors
ave_perfs(1,j) = sum(perf(:,j))/5;
end
  5 个评论
显示 3更早的评论
OCDER
OCDER 2017-9-29
I actually didn't know what the issue was until I tried your solution, which did the trick for me.
Greg
Greg 2017-9-29
Ahh, fair enough. My MATLAB machine is not my internet machine, so I'm rarely able to test the poster's code or my own suggestions.
I'm glad we got it solved and an accepted answer. Thanks for the assist.

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采纳的回答

Greg
Greg 2017-9-28
Try replacing this code (inside the loop):
% calculate averages of the errors
ave_perfs(1,j) = sum(perf(:,j))/5;
With this code (outside the parfor):
% calculate averages of the errors
ave_perfs = mean(perf,1);
Then you could even remove the pre-allocation of ave_perfs at the top.

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