如何在NumPy和SciPy中检查BLAS/LAPACK链接？
如何在NumPy和SciPy中检查BLAS/LAPACK链接？
提问于 2012-01-25 17:15:34
我正在基于blas和lapack构建我的numpy/scipy环境，或多或少基于this遍历。
完成后，如何检查我的numpy/scipy函数是否真的使用了之前构建的blas/lapack功能？
Stack Overflow用户
发布于 2018-07-19 18:17:43
您可以使用show_config()显示BLAS、LAPACK、MKL链接
import numpy as np
np.show_config()对我来说，它给出了输出：
mkl_info:
libraries = ['mkl_rt', 'pthread']
library_dirs = ['/my/environment/path/lib']
define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]
include_dirs = ['/my/environment/path/include']
blas_mkl_info:
libraries = ['mkl_rt', 'pthread']
library_dirs = ['/my/environment/path/lib']
define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]
include_dirs = ['/my/environment/path/include']
blas_opt_info:
libraries = ['mkl_rt', 'pthread']
library_dirs = ['/my/environment/path/lib']
define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]
include_dirs = ['/my/environment/path/include']
lapack_mkl_info:
libraries = ['mkl_rt', 'pthread']
library_dirs = ['/my/environment/path/lib']
define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]
include_dirs = ['/my/environment/path/include']
lapack_opt_info:
libraries = ['mkl_rt', 'pthread']
library_dirs = ['/my/environment/path/lib']
define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]
include_dirs = ['/my/environment/path/include']页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接：
https://stackoverflow.com/questions/9000164
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