numpy > 線形代数の数値演算ライブラリの表示 > np.__config__.show() ##migrated

動作環境

GeForce GTX 1070 (8GB)
ASRock Z170M Pro4S [Intel Z170chipset]
Ubuntu 16.04 LTS desktop amd64
TensorFlow v1.1.0
cuDNN v5.1 for Linux
CUDA v8.0
Python 3.5.2
IPython 6.0.0 -- An enhanced Interactive Python.
gcc (Ubuntu 5.4.0-6ubuntu1~16.04.4) 5.4.0 20160609
GNU bash, version 4.3.48(1)-release (x86_64-pc-linux-gnu)

@ 科学技術計算のためのPython入門: 開発基礎、必須ライブラリ、高速化 by 中久喜健司さん

numpyの線形代数の環境の表示の仕方。

python
>>> import numpy as np;np.__config__.show()
openblas_lapack_info:
    define_macros = [('HAVE_CBLAS', None)]
    language = c
    library_dirs = ['/usr/local/lib']
    libraries = ['openblas', 'openblas']
lapack_mkl_info:
  NOT AVAILABLE
openblas_info:
    define_macros = [('HAVE_CBLAS', None)]
    language = c
    library_dirs = ['/usr/local/lib']
    libraries = ['openblas', 'openblas']
blas_opt_info:
    define_macros = [('HAVE_CBLAS', None)]
    language = c
    library_dirs = ['/usr/local/lib']
    libraries = ['openblas', 'openblas']
lapack_opt_info:
    define_macros = [('HAVE_CBLAS', None)]
    language = c
    library_dirs = ['/usr/local/lib']
    libraries = ['openblas', 'openblas']
blis_info:
  NOT AVAILABLE
blas_mkl_info:
  NOT AVAILABLE

IntelMKL入っていない。