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# Variable in parfor cannot be classified, error not shown in editor

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Bob photonics on 28 Jul 2020
Commented: Bob photonics on 6 Aug 2020
Hey everyone I've been looking at parfor and going through some previously given answers and documentation but I'm having a hard time to figure out what my mistake is.
Error: The variable CFxL_Norm in a parfor cannot be classified.
I do assume that CFxLconst_Norm will give the same error. In my script I first assign 2 empty cell-matrix of size (XX,10) and each cell will contain a matrix (501x401x401), except in the last column the cells will contain 1 simple number.
normalisePerc=[0.2, 0.5, 0.8, 1, 0.01, 0.05, 0.1, 0.3, 0.4, 0.6, 0.7, 0.9]; %values can be changed later on
Lnlp=length(normalisePerc); %Length of the normalise percentage array
CFxL_Norm=cell(Lnlp,8+2); % CFxLight400nm + normaliseperc
CFxLconst_Norm=cell(Lnlp,8+2); % CFxLight400nm + normaliseperc
some other code and then this
A=Ef_Norm{9}; %%% assign variable as temporary for parfor, throwaway afterwards
%Lnlp=length(normalisePerc); %Same, to not use length but a fixed constant
parfor kk=1:Lnlp
fprintf('number %i of %i cycles for normalising \n', kk, Lnlp);
NLP=normalisePerc(kk); %get value from array
NLPinv=1/NLP; %allows to use multiplication in a few places for an increase in speed
D=A.*NLPinv;
D(D > 1) = 2./(1+1./D(D > 1));
for tt=1:8
fprintf('number %i of %i steps for normalising \n', tt+(kk-1)*8, Lnlp*8);
tic
B=Ef_Norm{tt}.*NLPinv; %Gives a warning about overhead but not causing problems
B(B > 1) = 2./(1+1./B(B > 1));
for qq=1:lyq2 %Would have prefered to use parfor for this loop, lyq2=401. Matlab recommends outer loops only
CFs=Cafluo_Norm{tt}(:,:,qq)'; %Gives a warning about overhead but not causing problems
CFxL_Norm{kk,tt}(:,:,qq)=CFs.*B(:,:,qq);
CFxLconst_Norm{kk,tt}(:,:,qq)=CFs.*D(:,:,qq);
end
fprintf('Time needed for this step was: \n');
toc
end
tt=9;
for qq=1:lyq2 %Also would have prefered to use parfor for this loop but Matlab recommends outer loops only.
tmp1=Cafluo_Norm{tt}(:,:,qq)'.*D(:,:,qq);
CFxL_Norm{kk,tt}(:,:,qq)=tmp1;
CFxLconst_Norm{kk,tt}(:,:,qq)=tmp1;
end
end
tt=10;
tmpnlp=num2cell(normalisePerc');
CFxL_Norm(:,10)=tmpnlp;
CFxLconst_Norm(:,tt)=tmpnlp;
clear tt kk NLP A B D NLPinv qq CFs tmp1 tmpnlp
fprintf('\n \n \n');
I don't see any of the problems regarding things, like addressing the same cell at the same time or even multiple times. I am also pretty sure the variables are independent of each other. Thus I don't really understand why I'm still getting this error and what I'm doing wrong.
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### Accepted Answer

Edric Ellis on 29 Jul 2020
The code you've shown there isn't complete enough for us to attempt to run and see the error you're encountering. It would be helpful if you could simplify the code to the point where we can try and run it as a for loop before trying a parfor loop.
That said, I think you're hitting one of the restrictions of assigning into sliced variables with nested for loops inside parfor. This doc page has the details. I think the relevant restriction is:
• Required (static): If you use a nested for-loop to index into a sliced array, you cannot use that array elsewhere in the parfor-loop.
In your code, you've got multiple cases where you're assigning into the sliced outputs. I would recommend trying to change things so that you have only a single assignment statement into your sliced outputs.
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Bob photonics on 6 Aug 2020
@walter Robison
Sorry it looks like my reply didn't get posted.
Nonetheless thank you very much as this absolutely solved my problem.

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