I have been trying to link my numpy installation to various Linear Algebra and Optimization libraries that exists in the system. It currently does not have any _doatlas.so
file in /numpy/core
because of which numpy.disutils
does not exist.
How can I link my existing atlas, blas and lapack .so
files to existing numpy installation?
However I have my scipy correctly linked to above files.
In [5]: scipy.__config__.show()
atlas_threads_info:
libraries = ['lapack', 'ptf77blas', 'ptcblas', 'atlas']
library_dirs = ['/usr/lib/atlas-base/atlas', '/usr/lib/atlas-base']
define_macros = [('ATLAS_INFO', '"\\"None\\""')]
language = f77
include_dirs = ['/usr/include/atlas']
blas_opt_info:
libraries = ['ptf77blas', 'ptcblas', 'atlas']
library_dirs = ['/usr/lib/atlas-base']
define_macros = [('ATLAS_INFO', '"\\"None\\""')]
language = c
include_dirs = ['/usr/include/atlas']
atlas_blas_threads_info:
libraries = ['ptf77blas', 'ptcblas', 'atlas']
library_dirs = ['/usr/lib/atlas-base']
define_macros = [('ATLAS_INFO', '"\\"None\\""')]
language = c
include_dirs = ['/usr/include/atlas']
lapack_opt_info:
libraries = ['lapack', 'ptf77blas', 'ptcblas', 'atlas']
library_dirs = ['/usr/lib/atlas-base/atlas', '/usr/lib/atlas-base']
define_macros = [('ATLAS_INFO', '"\\"None\\""')]
language = f77
include_dirs = ['/usr/include/atlas']
lapack_mkl_info:
NOT AVAILABLE
blas_mkl_info:
NOT AVAILABLE
mkl_info:
NOT AVAILABLE
Any suggestion?