[f2py] f2py and lapack DLARUV

[Stephane Raynaud]

I can't since my goal is to use a series of third party specific
fortran modules that use lapack.
However, I think about rewritting (one day...) these modules in python
and use scipy as you suggest.

On Fri, May 20, 2011 at 4:36 PM, Paul Anton Letnes
<paul.anton.letnes at gmail.com> wrote:
> Just a thought, maybe I'm missing something, but: can't you simply use scipy? It contains thin wrappers for alot of LAPACK calls in:
> from scipy.linalg.lapack import flapack as lapack
> Now, I think this will give you a list of routine names that are wrapped:
> for routine in dir(lapack):
>        print routine
>
> There is probably some "bloat" by using all of scipy, but it will save you a lot of compiling. Also, you could look at how scipy wraps lapack, and learn from that.
>
> YMMV
> Paul
>
> On 20. mai 2011, at 05.02, Stephane Raynaud wrote:
>
>> Since the only subroutine used from lapack is DLARUV with no
>> dependencies, I folowed your excellent idea :
>> ----
>> f2py  -m testmod testfile.f90 -h testfile.pyf
>> f2py testfile.pyf dlaruv.f
>> ---
>>
>> It failed on the second phase :
>> ---
>> |...]
>>        Block: DLARUV
>> Post-processing (stage 2)...
>> Tip: If your original code is Fortran source then you must use -m option.
>> [...]
>> TypeError: All blocks must be python module blocks but got 'subroutine'
>> ---
>>
>> However, it work using the same idea with :
>> ----
>> f2py  -m testmod testfile.f90 -h testfile.pyf # setup interface only
>> for testfunc
>> f2py -c -m testmod testfile.f90 testfile.pyf dlaruv.f # build
>> ---
>>
>>
>> Thus, this solution is sufficient for me, thanks alot !!!
>>
>> However, it would be great to have a solution for the when using the
>> lapack/blas library itself.
>>
>> On Fri, May 20, 2011 at 11:35 AM, Pearu Peterson
>> <pearu.peterson at gmail.com> wrote:
>>>
>>>
>>> On 05/20/2011 10:39 AM, Stephane Raynaud wrote:
>>>> Hi,
>>>>
>>>> trying to build a fortran extension linked to lapack (f77), I faced a
>>>> problem that I reduced to the following example.
>>>>
>>>> ------------ testfile.f90 ------------
>>>> subroutine testfunc
>>>>     integer,parameter :: n=2
>>>>     integer :: iseed(4)
>>>>     real(kind=8) :: x(n)
>>>>     iseed = (/0,1,3,4/)
>>>>     call DLARUV(iseed, n, x)
>>>> end subroutine testfunc
>>>> --------------------------------------
>>>>
>>>> Then :  f2py -c -m testmod -llapack -lblas
>>>> -L/home/raynaud/soft/lapack_gfortran/lib testfile.f90
>>>>
>>>> It rises the following error (using gfortran) :
>>>>
>>>>    /usr/bin/gfortran -Wall -Wall -shared
>>>> /tmp/tmpzBIKPf/tmp/tmpzBIKPf/src.linux-x86_64-2.6/testmodule.o
>>>> /tmp/tmpzBIKPf/tmp/tmpzBIKPf/src.linux-x86_64-2.6/fortranobject.o
>>>> /tmp/tmpzBIKPf/test.o -L/home/raynaud/soft/lapack_gfortran/lib
>>>> -L/soft/cdat/5.2.0/lib -llapack -lblas -lpython2.6 -lgfortran -o
>>>> ./test.so
>>>>    /usr/bin/ld:
>>>> /home/raynaud/soft/lapack_gfortran/lib/liblapack.a(dlaruv.o):
>>>> relocation R_X86_64_32S against `.data' can not be used when making a
>>>> shared object; recompile with -fPIC
>>>>    /home/raynaud/soft/lapack_gfortran/lib/liblapack.a: could not read
>>>> symbols: Bad value
>>>>
>>>>
>>>> BLAS and LAPACK where compilated with gfortran and options '-fPIC -O3'.
>>>
>>> Are you absolutely sure?
>>>
>>> Can you try creating the testmod without using lapack and blas libraries
>>> but their sources? For example:
>>>
>>> f2py  -m testmod testfile.f90 -h testfile.pyf
>>> f2py testfile.pyf /path/to/lapack/src/*.f /path/to/blas/src/*.f
>>>
>>> Pearu
>>>
>>>> I tried to use the DATA statement directly in a subroutine that I
>>>> converted to a python module, and it worked.
>>>>
>>>>
>>>> Any idea ?
>>>>
>>>> Thanks.
>>>>
>>>
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>>
>>
>>
>> --
>> Stephane Raynaud
>>
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-- 
Stephane Raynaud