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Anaconda 4.0.2 is already confused in MKL

I have Ananconda4.0.2 on my system. I tried to figure out my numpy configuration by running the following commands in the python console:

import numpy as np
np.__config__.show()

He came back after the withdrawal

lapack_opt_info:
libraries = ['mkl_lapack95_lp64', 'mkl_intel_lp64', 'mkl_intel_thread', 'mkl_core', 'iomp5', 'pthread']
library_dirs = ['/home/<username>/anaconda2/lib']
define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]
include_dirs = ['/home/<username>/anaconda2/include']
blas_opt_info:
libraries = ['mkl_intel_lp64', 'mkl_intel_thread', 'mkl_core', 'iomp5', 'pthread']
library_dirs = ['/home/<username>/anaconda2/lib']
define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]
include_dirs = ['/home/<username>/anaconda2/include']
openblas_lapack_info:
NOT AVAILABLE
lapack_mkl_info:
libraries = ['mkl_lapack95_lp64', 'mkl_intel_lp64', 'mkl_intel_thread','mkl_core', 'iomp5', 'pthread']
library_dirs = ['/home/<username>/anaconda2/lib']
define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]
include_dirs = ['/home/<username>/anaconda2/include']
blas_mkl_info:
libraries = ['mkl_intel_lp64', 'mkl_intel_thread', 'mkl_core', 'iomp5', 'pthread']
library_dirs = ['/home/<username>/anaconda2/lib']
define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]
include_dirs = ['/home/<username>/anaconda2/include']
mkl_info:
libraries = ['mkl_intel_lp64', 'mkl_intel_thread', 'mkl_core', 'iomp5', 'pthread']
library_dirs = ['/home/<username>/anaconda2/lib']
define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]
include_dirs = ['/home/<username>/anaconda2/include']

Does this mean that my numpy is already using mkl?

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2 answers

Yes, starting with Anaconda 2.5 MKL default support .

To find out for sure, type:

conda search numpy

You will see things like

*  1.10.4                   py27_0  defaults        
   1.10.4             py27_nomkl_0  defaults        [nomkl]

or

.  1.10.4                   py35_0  defaults        
   1.10.4             py35_nomkl_0  defaults        [nomkl]

Thus, a version without MKL is explicitly marked as such with a nomklset ( *or .) nomklMKL.

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numpy 1.15.0 OpenBLAS . 1.16.2, :

In [2]:np.__version__
Out[2]: '1.16.2'

In [3]: np.__config__.show()
blas_mkl_info:
  NOT AVAILABLE
blis_info:
    libraries = ['blas', 'cblas', 'lapack', 'blas', 'cblas', 'lapack']
    library_dirs = ['/home/tams00/anaconda3/envs/course2019/lib']
    define_macros = [('HAVE_CBLAS', None)]
    include_dirs = ['/home/tams00/anaconda3/envs/course2019/include']
    language = c
blas_opt_info:
    libraries = ['blas', 'cblas', 'lapack', 'blas', 'cblas', 'lapack', 'blas', 'cblas', 'lapack']
    library_dirs = ['/home/tams00/anaconda3/envs/course2019/lib']
    define_macros = [('HAVE_CBLAS', None)]
    include_dirs = ['/home/tams00/anaconda3/envs/course2019/include']
    language = c
lapack_mkl_info:
  NOT AVAILABLE
openblas_lapack_info:
    libraries = ['blas', 'cblas', 'lapack', 'blas', 'cblas', 'lapack']
    library_dirs = ['/home/tams00/anaconda3/envs/course2019/lib']
    language = c
    define_macros = [('HAVE_CBLAS', None)]
lapack_opt_info:
    libraries = ['blas', 'cblas', 'lapack', 'blas', 'cblas', 'lapack', 'blas', 'cblas', 'lapack']
    library_dirs = ['/home/tams00/anaconda3/envs/course2019/lib']
    language = c
    define_macros = [('HAVE_CBLAS', None)]
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