[MITgcm-support] tutorial_global_oce_optim optimisation failed

[Matthew Mazloff]

This is still iteration 0. You have to update data.optim to tell it you are now at iteration 1

Matt


> On Apr 30, 2018, at 2:38 PM, Andrew McRae <andrew.mcrae at physics.ox.ac.uk> wrote:
> 
> I tried a few steps of this, but the output of optim.x always has
> 
>   cost function............... 0.62002323E+01
>   norm of x................... 0.00000000E+00
>   norm of g................... 0.12730927E-01
> 
> near the end, with no decrease in the cost function.  So I guess it's not actually taking the step?
> 
> Andrew
> 
> On 27 April 2018 at 18:04, Andrew McRae <andrew.mcrae at physics.ox.ac.uk <mailto:andrew.mcrae at physics.ox.ac.uk>> wrote:
> !!!  Okay...
> 
> Yes, it produced the .opt0001 file.  I'll see how this goes.
> 
> Thanks,
> Andrew
> 
> On 27 April 2018 at 17:57, Matthew Mazloff <mmazloff at ucsd.edu <mailto:mmazloff at ucsd.edu>> wrote:
> Hello
> 
> Its been awhile, but I am pretty sure that is the normal output. It says “fail", but it did give you a new and ecco_ctrl_MIT_CE_000.opt0001 (correct?) and if you unpack and run likely the cost will descend.
> 
> I think it worked correctly. lsopt/optim are just confusing…but I think its working. I think all is good!
> 
> Matt
> 
> 
> 
>> On Apr 27, 2018, at 8:25 AM, Andrew McRae <andrew.mcrae at physics.ox.ac.uk <mailto:andrew.mcrae at physics.ox.ac.uk>> wrote:
>> 
>> Just separating this from the other thread <http://mailman.mitgcm.org/pipermail/mitgcm-support/2018-April/011521.html>, I got the bundled MITgcm optim routine built (having made these changes <https://github.com/MITgcm/MITgcm/compare/master...dorugeber:optim_fix>, based on this <http://mailman.mitgcm.org/pipermail/mitgcm-support/2010-September/006825.html> thread from 2010 and this <http://mailman.mitgcm.org/pipermail/mitgcm-support/2016-July/010527.html> one from 2016).
>> 
>> I use OpenAD to create the adjoint.
>> 
>> My steps are:
>> 1) in the build directory, run ../../../tools/genmake2 -oad -mods=../code_oad
>> 2) run make depend and make adAll
>> 3) copy input_oad/ into a new folder scratch/
>> 4) within scratch/, run ./prepare_run
>> 5) copy mitgcmuv_ad from build/ into scratch/, copy optim.x into scratch/OPTIM/
>> 6) run ./mitgcmuv_ad
>> 7) in scratch/OPTIM, create symlinks to ../data.optim and ../data.ctrl
>> 8) copy the files ecco_cost_MIT_CE_000.opt0000 and ecco_ctrl_MIT_CE_000.opt0000 into the OPTIM subdirectory
>> 9) run ./optim.x within the subdirectory
>> 
>> The full output is attached, but I assume the optimisation failed since the last lines are
>> 
>>   optimization stopped because :
>>   ifail =   4    the search direction is not a descent one
>> 
>> Any ideas?  (I guess this isn't something that is tested in the daily builds?)
>> 
>> In the meantime, I'll try the m1qn3 routine as in the other thread, which should help distinguish between a problem with the optimisation routine or the gradient generated by mitgcmuv_ad.
>> 
>> Andrew
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