Re: parallel pkg unexplainable error

[Moritz Keuthen]

Am 15.09.2014 um 16:37 schrieb Juan Pablo Carbajal:
> On Mon, Sep 15, 2014 at 10:22 AM, Moritz Keuthen <address@hidden> wrote:
> > Hello,
> >
> > I am using the octave package parallel and have had increasingly problems. 
> > Quite a lot of my last test runs aborted with the following error:
> >
> > parcellfun: 9/13 jobs doneerror: invalid conversion from real matrix to real 
> > scalar
> > error: file id must be a file object, std::string, or integer value
> > warning: broken pipe
> > warning: broken pipe
> > warning: broken pipe
> > warning: broken pipe
> > error: called from:
> > error: /home/hpc/t1313/di34koy/octave/parallel-2.2.0/parcellfun.m at line 334, 
> > column 11
> >
> > The error is not replicable (running the same program again won't necessarily 
> > produce the error at the same iteration) and has appeared in different pipes, 
> > e.g.
> >
> > parcellfun: 12/13 jobs doneerror: invalid conversion from real matrix to real 
> > scalar
> > error: file id must be a file object, std::string, or integer value
> > warning: broken pipe
> > error: called from:
> > error: /home/hpc/t1313/di34koy/octave/parallel-2.2.0/parcellfun.m at line 334, 
> > column 11
> >
> > I am using octave 3.8.1 and parallel 2.2.0. It seems to me that the problem 
> > lies somewhere in the parallel code, but I am not an expert (;
> >
> > I would be deeply grateful if someone could help me with the issue.
> >
> > Regards
> > Moritz Keuthen
> > _______________________________________________
> > Help-octave mailing list
> > address@hidden
> > https://lists.gnu.org/mailman/listinfo/help-octave
> We need to see the code that is generating the "file id". It might be
> that you are doing this automatically and you have a bug there.

Hey,

I am not sure I understand your question correctly. This is how I employ 
the pararrayfun:

p.ArmijoBeta = 0.5;
p.nArmijoProc = 13;
...
    parTs = deltaT * p.ArmijoBeta.^(0 : p.nArmijoProc - 1);
    errorHandler = @(s, curT) deal (NA, s);
    handler = @(curT) getCostForStep (curT, input);

      [output] = pararrayfun (p.nArmijoProc, handler, parTs, ...
                                     "UniformOutput", false, ...
                                     "ErrorHandler", errorHandler);

The rest is handled by the parallel package.

Regards
Moritz Keuthen