surrogateopt: Dot indexing is not supported for variables of this type.

Question

LBR 2020-9-15

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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/593767-surrogateopt-dot-indexing-is-not-supported-for-variables-of-this-type

评论： Daniel Rischawy 2020-10-27

I am trying to use the function surrogateopt in a script that I submit to a computer cluster. I don't want to plot the solver progress. To illustrate the problem that I have, I will use the toy code "Minimization_test.m":

minobj=@(xj)(xj+2).^2;
lbe= [-20];
ube= [20];
opts = optimoptions(@surrogateopt,'PlotFcn',[],'MaxFunctionEvaluations',600);
xj = surrogateopt(minobj,lbe,ube,[],opts) 

This script works correctly on my computer (matlab 2020a) and on the cluster (matlab 2020a) if create an interactive matlab session.

However, I get an error if I request that the job scheduling program SLURM execute the script. My SLURM script reads:

#!/bin/bash

#SBATCH -t 1:00:00

#SBATCH --mem=1g

#SBATCH -J matlab

#SBATCH -o slurm.out

module load Matlab/R2020a

matlab -nojvm -nodisplay -singleCompThread -r Minimization_test

If I submit this job, I get the following error in the output file:

Dot indexing is not supported for variables of this type.

Error in globaloptim.bmo.solver

Error in globaloptim.bmo.createSolver

Error in globaloptim.bmo.BlackboxModelOptimizer (line 92)

self =

globaloptim.bmo.createSolver(self,expensive,lb,ub,intcon,options);

Error in surrogateopt>createController (line 329)

controller =

globaloptim.bmo.BlackboxModelOptimizer(expensive,lb,ub,intcon,options);

Error in surrogateopt (line 292)

controller = createController(objconstr,lb,ub,intcon,options);

Error in Minimization_test (line 5)

xj = surrogateopt(minobj,lbe,ube,[],opts)

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Farhad Omidvar 2020-9-21

在 MATLAB Online 中打开

Hi Walter, thanks for the reply.

what do you mean by "interactively"? sorry if my question is basic.

the error I'm getting is a bit different from the OP.

Here is my matlab code:

ub = [0.015 0.2];
lb = -ub;
options = optimoptions('surrogateopt','PlotFcn',{@surrogateoptplot,@optimplotx},...
    'MinSampleDistance',1e-2,'UseParallel',true,...
    'MaxFunctionEvaluations',75,'Display','iter');
objective = @(x)SCA_optimize(x);
[x,fval,exitflag,output,trials] = surrogateopt(objective,lb,ub,options);

Here is my slurm script:

#!/bin/bash -l
#SBATCH --time=12:00:00       
#SBATCH --nodes=1      
#SBATCH --ntasks=1
#SBATCH --cpus-per-task=32      
#SBATCH --mem=42000           
module load matlab/2020a
matlab -nodisplay -r "optmexe"

The optimization runs for 2 hours (about 60 iterations) and all of a sudden it stops with the following error:

F-count       Time        Best          Current         Trial
  61         7744.89     -3.4054e-27     -2.3363e-28     adaptive
  62         7767.71     -3.4054e-27     -3.1658e-28     adaptive
  63         7774.31     -3.4054e-27     -1.8851e-28     adaptive
  64         7789.41     -3.4054e-27     -2.2733e-28     adaptive
  65         8687.23     -3.4054e-27     -2.2102e-28     adaptive
{Error using globaloptim.bmo.BlackboxModelOptimizer/optimize (line 100)
Dot indexing is not supported for variables of this type.
Error in surrogateopt (line 139)
controller = controller.optimize();
Error in optmexe (line 11)
[x,fval,exitflag,output,trials] = surrogateopt(objective,lb,ub,options);
} 

However, when I run this on my PC with 4 cores it seems to be working ok. Could it be related to the high number of cluster cores that I'm using?

LBR 2020-9-21

I see, thank you.

Farhad Omidvar 2020-9-22

Thanks, Walter, for the suggestions.

Before seeing them, I submitted the job for running on MATLAB/2020a (insteaad of the 2018b version) and the problem magically got fixed.

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Answer 1

Walter Roberson 2020-9-22

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此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/593767-surrogateopt-dot-indexing-is-not-supported-for-variables-of-this-type#answer_498175

Removing the -nojvm solves the problem (for reasons currently unknown.)

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Daniel Rischawy 2020-10-27

Unfortunately I have the same problem. But I get the error if I run surrogates with parallel computing normally in Matlab2019a. The error appears random after around 200-300 iterations. Sample tasks for surrogates, however, did not cause any problems. Therefore I think it should have something to do with my objective function or parallel computing, but I do not understand the cause and why the error occurs so randomly. Could the reason be the Java version I use or the Matlab version? Thanks a lot in advance.

Regards

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