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如何链接numpy以使用MKL作为后端?

intel-mkl blas lapack numpy python

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SkyWalker · 技术社区 · 3 年前

我有一个 numpy 安装,并且显示没有可用的BLAS后端:

(pyrepoux) bash-4.2$ python
Python 3.7.3 | packaged by conda-forge | (default, Dec  6 2019, 08:54:18) 
[GCC 7.3.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import numpy as np
>>> np.show_config()
blas_mkl_info:
  NOT AVAILABLE
blis_info:
  NOT AVAILABLE
openblas_info:
    libraries = ['openblas', 'openblas']
    library_dirs = ['/usr/local/lib']
    language = c
    define_macros = [('HAVE_CBLAS', None)]
blas_opt_info:
    libraries = ['openblas', 'openblas']
    library_dirs = ['/usr/local/lib']
    language = c
    define_macros = [('HAVE_CBLAS', None)]
lapack_mkl_info:
  NOT AVAILABLE
openblas_lapack_info:
    libraries = ['openblas', 'openblas']
    library_dirs = ['/usr/local/lib']
    language = c
    define_macros = [('HAVE_CBLAS', None)]
lapack_opt_info:
    libraries = ['openblas', 'openblas']
    library_dirs = ['/usr/local/lib']
    language = c
    define_macros = [('HAVE_CBLAS', None)]

我可以 pip install mkl 但是仍然具有与上述相同的输出。我如何链接 numpy 使用MKL作为BLAS/LAPACK后端?

0 回复 | 直到 3 年前

1

2

Raeesa - Intel 3 年前

您可以尝试在intel python中使用。使用intel python和所需的包(如intel mkl、intel numpy等)创建一个环境。

conda create -n <env-name> intelpython3_full python=3.7.3
conda activate <env_name>
pip install mkl
pip install intel-numpy

并尝试导入numpy并运行 np.show_config()

参考 https://pypi.org/project/mkl/ https://pypi.org/project/intel-numpy/

更好的方法是安装英特尔基本工具包并获取变量。该套件提供Intel mkl和Intel python。您只需要获取环境变量

source <basekit-installation-directory>/setvars.sh

安装指南: https://software.intel.com/content/www/us/en/develop/documentation/installation-guide-for-intel-oneapi-toolkits-linux/top.html

您也可以尝试Jerome Richard提供的建议,尝试设置mkl库.so文件的LD_LIBRARY_PATH和LD_PRELOAD路径。参考 https://software.intel.com/content/www/us/en/develop/articles/optimizing-without-breaking-a-sweat.html