理解Python2.7中numpy
模块的__config__.show()
的输出时出现问题。在
以下是执行上述命令的输出:
>>> numpy.__config__.show()
lapack_opt_info:
libraries = ['mkl_intel_lp64', 'mkl_intel_thread', 'mkl_core', 'iomp5', 'pthread']
library_dirs = ['/r/ge.unx.xxx.com/vol/vol110/u11/jack/anaconda2/lib']
define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]
include_dirs = ['/r/ge.unx.xxx.com/vol/vol110/u11/jack/anaconda2/include']
blas_opt_info:
libraries = ['mkl_intel_lp64', 'mkl_intel_thread', 'mkl_core', 'iomp5', 'pthread']
library_dirs = ['/r/ge.unx.xxx.com/vol/vol110/u11/jack/anaconda2/lib']
define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]
include_dirs = ['/r/ge.unx.xxx.com/vol/vol110/u11/jack/anaconda2/include']
lapack_mkl_info:
libraries = ['mkl_intel_lp64', 'mkl_intel_thread', 'mkl_core', 'iomp5', 'pthread']
library_dirs = ['/r/ge.unx.xxx.com/vol/vol110/u11/jack/anaconda2/lib']
define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]
include_dirs = ['/r/ge.unx.xxx.com/vol/vol110/u11/jack/anaconda2/include']
blas_mkl_info:
libraries = ['mkl_intel_lp64', 'mkl_intel_thread', 'mkl_core', 'iomp5', 'pthread']
library_dirs = ['/r/ge.unx.xxx.com/vol/vol110/u11/jack/anaconda2/lib']
define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]
include_dirs = ['/r/ge.unx.xxx.com/vol/vol110/u11/jack/anaconda2/include']
>>>
从上面的输出,我想推断numpy
是否正在使用“英特尔MKL库”。如果是,图书馆在哪里?在
目前没有回答
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