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python - 无法使用 Intel MKL 安装 Scipy

转载 作者:太空宇宙 更新时间:2023-11-03 16:46:33 25 4
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我使用 Intel MKL 从源代码成功安装了 Numpy“numpy-1.12.0.dev0+1380fdd-py2.7-linux-x86_64.egg”(主要遵循 https://software.intel.com/en-us/articles/numpyscipy-with-intel-mkl 中的指令)。 numpy.show_config()显示以下内容:

Python 2.7.10 (default, Sep  8 2015, 17:20:17) 
[GCC 5.1.1 20150618 (Red Hat 5.1.1-4)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import numpy
>>> numpy.show_config()
lapack_opt_info:
libraries = ['mkl_rt', 'pthread']
library_dirs = ['/opt/intel/compilers_and_libraries_2016.1.150/linux/mkl/lib/intel64']
define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]
include_dirs = ['/opt/intel/compilers_and_libraries_2016.1.150/linux/mkl/include']
blas_opt_info:
libraries = ['mkl_rt', 'pthread']
library_dirs = ['/opt/intel/compilers_and_libraries_2016.1.150/linux/mkl/lib/intel64']
define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]
include_dirs = ['/opt/intel/compilers_and_libraries_2016.1.150/linux/mkl/include']
lapack_mkl_info:
libraries = ['mkl_rt', 'pthread']
library_dirs = ['/opt/intel/compilers_and_libraries_2016.1.150/linux/mkl/lib/intel64']
define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]
include_dirs = ['/opt/intel/compilers_and_libraries_2016.1.150/linux/mkl/include']
blas_mkl_info:
libraries = ['mkl_rt', 'pthread']
library_dirs = ['/opt/intel/compilers_and_libraries_2016.1.150/linux/mkl/lib/intel64']
define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]
include_dirs = ['/opt/intel/compilers_and_libraries_2016.1.150/linux/mkl/include']
mkl_info:
libraries = ['mkl_rt', 'pthread']
library_dirs = ['/opt/intel/compilers_and_libraries_2016.1.150/linux/mkl/lib/intel64']
define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]
include_dirs = ['/opt/intel/compilers_and_libraries_2016.1.150/linux/mkl/include']

还有numpy.test()工作正常:

>>> numpy.test()
Running unit tests for numpy
NumPy version 1.12.0.dev0+1380fdd
NumPy relaxed strides checking option: True
NumPy is installed in /usr/lib64/python2.7/site-packages/numpy-1.12.0.dev0+1380fdd-py2.7-linux-x86_64.egg/numpy
Python version 2.7.10 (default, Sep 8 2015, 17:20:17) [GCC 5.1.1 20150618 (Red Hat 5.1.1-4)]
nose version 1.3.7
[....................SKIP..........................]
----------------------------------------------------------------------
Ran 5855 tests in 51.180s

OK (KNOWNFAIL=6, SKIP=8)
<nose.result.TextTestResult run=5855 errors=0 failures=0>

但由于某种原因,我什至无法通过 python setup.py config --compiler=intelem --fcompiler=intelem build_clib --compiler=intelem --fcompiler=intelem build_ext --compiler=intelem --fcompiler=intelem install 从源代码安装 Scipy也不通过pip install scipy 。从源代码中我收到以下错误:

RuntimeError: Running cythonize failed!

检查 cython:

cython -V
Cython version 0.23

通过 pip 安装它会导致:

Command "/usr/bin/python -u -c "import setuptools, tokenize;__file__='/tmp/pip-build-ticToS/scipy/setup.py';exec(compile(getattr(tokenize, 'open', open)(__file__).read().replace('\r\n', '\n'), __file__, 'exec'))" install --record /tmp/pip-qnZ8HE-record/install-record.txt --single-version-externally-managed --compile" failed with error code 1 in /tmp/pip-build-ticToS/scipy/

知道我做错了什么吗?

我的操作系统是 Thinkpad T450s 上的 Fedora 23。一个附带问题是我也认识到 numpy.test()在不使用 Intel MKL 的情况下速度要快得多。对此有何解释?

非常感谢。

最佳答案

通过 groupinstall 安装 redhat-rpm-config'开发工具' 解决了问题。

关于python - 无法使用 Intel MKL 安装 Scipy,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/36246863/

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