[SciPy-user] [OpenOpt] problem with ralg (latest SVN)

dmitrey dmitrey.kroshko@scipy....
Sat Sep 6 02:16:41 CDT 2008


Hi Emanuele,
update svn and try now,
HTH, D.

P.S. IIRC you are deal with box-bounded problems, let me remember you 
once again, that ralg (especially current implementation) handles it 
very badly (especially when lots of active constraints in optim point) 
in comparison to scipy_lbfgsb, scipy_tnc or algencan (all are available 
from oo, requires scipy or algencan installed), these ones have very 
appropriate specialized box-bound solvers.
Regards, D

Emanuele Olivetti wrote:
> OK. Running another custom example I got again the initial "ralg missing"
> error message. Increasing verbosity as you suggested (problem.debug = 1)
> shows the same error message shown before, i.e. "cond" is not available
> in numpy.linalg, so import fails:
> ----
> ...<cut>...
>  in solve
>     result = self.problem.solve(self.optimization_algorithm) # perform
> optimization!
>   File
> "/usr/lib/python2.5/site-packages/scikits/openopt/Kernel/BaseProblem.py",
> line 185, in solve
>     return runProbSolver(self, solvers, *args, **kwargs)
>   File
> "/usr/lib/python2.5/site-packages/scikits/openopt/Kernel/runProbSolver.py",
> line 43, in runProbSolver
>     solverClass =  getattr(my_import(__solverPaths__[solver_str]),
> solver_str)
>   File
> "/usr/lib/python2.5/site-packages/scikits/openopt/Kernel/runProbSolver.py",
> line 268, in my_import
>     mod = __import__(name)
>   File
> "/usr/lib/python2.5/site-packages/scikits/openopt/solvers/UkrOpt/ralg_oo.py",
> line 2, in <module>
>     from numpy.linalg import norm, cond
> ImportError: cannot import name cond
> ----
>
> Hope this helps,
>
> Emanuele
>
> Emanuele Olivetti wrote:
>   
>> Thanks for help.
>>
>> Unfortunately after updating from SVN again I'm not able to reproduce
>> the same error, but instead I get this, about failing to import "cond" from
>> numpy.linalg. It seems that "cond" is not available until the very latest
>> numpy (and even autogenerated NumPy API on scipy.org have no "cond"):
>> ----
>> $ python openopt/scikits/openopt/examples/nlp_1.py
>> OpenOpt checks user-supplied gradient df (shape: (150,) )
>> according to:
>>     prob.diffInt = [  1.00000000e-07]
>>     |1 - info_user/info_numerical| <= prob.maxViolation = 0.01
>> derivatives are equal
>> ========================
>> OpenOpt checks user-supplied gradient dc (shape: (2, 150) )
>> according to:
>>     prob.diffInt = [  1.00000000e-07]
>>     |1 - info_user/info_numerical| <= prob.maxViolation = 0.01
>> derivatives are equal
>> ========================
>> OpenOpt checks user-supplied gradient dh (shape: (2, 150) )
>> according to:
>>     prob.diffInt = [  1.00000000e-07]
>>     |1 - info_user/info_numerical| <= prob.maxViolation = 0.01
>> derivatives are equal
>> ========================
>> Traceback (most recent call last):
>>   File "openopt/scikits/openopt/examples/nlp_1.py", line 108, in <module>
>>     r = p.solve('ralg', debug = 1)
>>   File
>> "/usr/lib/python2.5/site-packages/scikits/openopt/Kernel/BaseProblem.py",
>> line 185, in solve
>>     return runProbSolver(self, solvers, *args, **kwargs)
>>   File
>> "/usr/lib/python2.5/site-packages/scikits/openopt/Kernel/runProbSolver.py",
>> line 43, in runProbSolver
>>     solverClass =  getattr(my_import(__solverPaths__[solver_str]),
>> solver_str)
>>   File
>> "/usr/lib/python2.5/site-packages/scikits/openopt/Kernel/runProbSolver.py",
>> line 268, in my_import
>>     mod = __import__(name)
>>   File
>> "/usr/lib/python2.5/site-packages/scikits/openopt/solvers/UkrOpt/ralg_oo.py",
>> line 2, in <module>
>>     from numpy.linalg import norm, cond
>> ImportError: cannot import name cond
>> ----
>>
>> Any suggestion on how to solve this?
>>
>> Sorry for the mess.
>>
>> Emanuele
>>
>> Note: this error pops out using numpy+scipy shipped with
>> ubuntu. When using recent SVN version of numpy+scipy
>> everything works well.
>>
>> dmitrey wrote:
>>   
>>     
>>> Hi Emanuele,
>>>  as it is mentioned in openopt install webpage and README.txt  numpy v 
>>>  >= 1.1.0 is recommended. Some other oo users informed of bugs due to 
>>> older versions.
>>>
>>> Could you inform what will be outputed if you set p.debug = 1? (either 
>>> directly or via p = NLP(..., debug=1,...))
>>>
>>> If the problem with numpy versions is critical for users of your soft, 
>>> you'd better to put more recent numpy into Debian soft channel.
>>>
>>> Regards, D.
>>>
>>> Emanuele Olivetti wrote:
>>>   
>>>     
>>>       
>>>> Same problem with numpy 1.0.4 + scipy 0.6.0
>>>> (shipped with ubuntu 8.04 hardy heron).
>>>>
>>>> E.
>>>>
>>>> Emanuele Olivetti wrote:
>>>>   
>>>>     
>>>>       
>>>>         
>>>>> Dear all and Dmitrey,
>>>>>
>>>>> I've just updated to latest openopt (SVN). When using numpy 1.0.3
>>>>> and scipy 0.5.2 (standard in Ubuntu 7.10 gutsy gibbon) openopt says
>>>>> that "ralg" (NLP) algorithm is missing! With more recent numpy
>>>>> and scipy it seems to work reliably. But what happened with respect
>>>>> to older numpy+scipy? In that case even running examples/nlp_1.py
>>>>> returns:
>>>>> ----
>>>>> $ python nlp_1.py
>>>>> OpenOpt checks user-supplied gradient df (shape: (150,) )
>>>>> according to:
>>>>>     prob.diffInt = [  1.00000000e-07]
>>>>>     |1 - info_user/info_numerical| <= prob.maxViolation = 0.01
>>>>> derivatives are equal
>>>>> ========================
>>>>> OpenOpt checks user-supplied gradient dc (shape: (2, 150) )
>>>>> according to:
>>>>>     prob.diffInt = [  1.00000000e-07]
>>>>>     |1 - info_user/info_numerical| <= prob.maxViolation = 0.01
>>>>> derivatives are equal
>>>>> ========================
>>>>> OpenOpt checks user-supplied gradient dh (shape: (2, 150) )
>>>>> according to:
>>>>>     prob.diffInt = [  1.00000000e-07]
>>>>>     |1 - info_user/info_numerical| <= prob.maxViolation = 0.01
>>>>> derivatives are equal
>>>>> ========================
>>>>> OO Error:incorrect solver is called, maybe the solver "ralg" is not
>>>>> installed. Maybe setting p.debug=1 could specify the matter more precisely
>>>>> Traceback (most recent call last):
>>>>>   File "nlp_1.py", line 110, in <module>
>>>>>     r = p.solve('ralg')
>>>>>   File
>>>>> "/usr/lib/python2.5/site-packages/scikits/openopt/Kernel/BaseProblem.py",
>>>>> line 185, in solve
>>>>>     return runProbSolver(self, solvers, *args, **kwargs)
>>>>>   File
>>>>> "/usr/lib/python2.5/site-packages/scikits/openopt/Kernel/runProbSolver.py",
>>>>> line 48, in runProbSolver
>>>>>     p.err('incorrect solver is called, maybe the solver "' + solver_str
>>>>> +'" is not installed. Maybe setting p.debug=1 could specify the matter
>>>>> more precisely')
>>>>>   File
>>>>> "/usr/lib/python2.5/site-packages/scikits/openopt/Kernel/oologfcn.py",
>>>>> line 16, in ooerr
>>>>>     raise OpenOptException(msg)
>>>>> scikits.openopt.Kernel.oologfcn.OpenOptException: incorrect solver is
>>>>> called, maybe the solver "ralg" is not installed. Maybe setting
>>>>> p.debug=1 could specify the matter more precisely
>>>>> ----
>>>>>
>>>>> This did not happen before so I guess it is due to a recent
>>>>> commit. It is possible to solve the problem?
>>>>>
>>>>> Kind Regards,
>>>>>
>>>>> Emanuele
>>>>>
>>>>> _______________________________________________
>>>>> SciPy-user mailing list
>>>>> SciPy-user@scipy.org
>>>>> http://projects.scipy.org/mailman/listinfo/scipy-user
>>>>>
>>>>>   
>>>>>     
>>>>>       
>>>>>         
>>>>>           
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