[Numpy-discussion] How to tell if I succeeded to build numpy with amd, umfpack and lapack

Chris Colbert sccolbert@gmail....
Fri Feb 18 08:49:58 CST 2011


It certainly does. Here is mine, showing that numpy is linked against mkl:

In [2]: np.show_config()
lapack_opt_info:
    libraries = ['mkl_lapack95', 'mkl_intel', 'mkl_intel_thread',
'mkl_core', 'mkl_p4m', 'mkl_p4p', 'pthread']
    library_dirs =
['/Library/Frameworks/Python.framework/Versions/1.3.0/lib']
    define_macros = [('SCIPY_MKL_H', None)]
    include_dirs =
['/Library/Frameworks/Python.framework/Versions/1.3.0/include']
blas_opt_info:
    libraries = ['mkl_intel', 'mkl_intel_thread', 'mkl_core', 'mkl_p4m',
'mkl_p4p', 'pthread']
    library_dirs =
['/Library/Frameworks/Python.framework/Versions/1.3.0/lib']
    define_macros = [('SCIPY_MKL_H', None)]
    include_dirs =
['/Library/Frameworks/Python.framework/Versions/1.3.0/include']
lapack_mkl_info:
    libraries = ['mkl_lapack95', 'mkl_intel', 'mkl_intel_thread',
'mkl_core', 'mkl_p4m', 'mkl_p4p', 'pthread']
    library_dirs =
['/Library/Frameworks/Python.framework/Versions/1.3.0/lib']
    define_macros = [('SCIPY_MKL_H', None)]
    include_dirs =
['/Library/Frameworks/Python.framework/Versions/1.3.0/include']
blas_mkl_info:
    libraries = ['mkl_intel', 'mkl_intel_thread', 'mkl_core', 'mkl_p4m',
'mkl_p4p', 'pthread']
    library_dirs =
['/Library/Frameworks/Python.framework/Versions/1.3.0/lib']
    define_macros = [('SCIPY_MKL_H', None)]
    include_dirs =
['/Library/Frameworks/Python.framework/Versions/1.3.0/include']
mkl_info:
    libraries = ['mkl_intel', 'mkl_intel_thread', 'mkl_core', 'mkl_p4m',
'mkl_p4p', 'pthread']
    library_dirs =
['/Library/Frameworks/Python.framework/Versions/1.3.0/lib']
    define_macros = [('SCIPY_MKL_H', None)]
    include_dirs =
['/Library/Frameworks/Python.framework/Versions/1.3.0/include']

If those lists are empty for you, then numpy is not linked properly (of
course yours will be ATLAS and not mkl)

On Fri, Feb 18, 2011 at 5:32 AM, Samuel John <scipy@samueljohn.de> wrote:

> Ping.
>
> How to tell, if numpy successfully build against libamd.a and libumfpack.a?
> How do I know if they were successfully linked (statically)?
> Is it possible from within numpy, like show_config() ?
> I think show_config() has no information about these in it :-(
>
> Anybody?
>
> Thanks,
>  Samuel
> _______________________________________________
> NumPy-Discussion mailing list
> NumPy-Discussion@scipy.org
> http://mail.scipy.org/mailman/listinfo/numpy-discussion
>
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