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 <sc...@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 >
_______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion