目前我正在尝试使用 CentOS 7 上的英特尔编译器为英特尔的 MKL 构建 Numpy-1.9.1。我安装了英特尔 Parallel XE Studio 2015 C++ 和 Fortran for Linux，在我的终端中我可以同时使用“icc”和“ifort”命令，它们都被发现没有问题。我也跑过：
$ source /opt/intel/composer_xe_2015/bin/compilervars.sh intel64
根据英特尔网页上的本指南，我正在尝试做我想做的事情：https ://software.intel.com/en-us/articles/numpyscipy-with-intel-mkl ，我尝试使用它来构建 numpy命令：
$ sudo python setup.py config --compiler=intelem build_clib --compiler=intelem build_ext --compiler=intelem install
结果消息是：
Running from numpy source directory.
/usr/lib64/python2.7/distutils/dist.py:267: UserWarning: Unknown distribution option: 'test_suite'
warnings.warn(msg)
non-existing path in 'numpy/f2py': 'docs'
non-existing path in 'numpy/f2py': 'f2py.1'
F2PY Version 2
blas_opt_info:
blas_mkl_info:
FOUND:
libraries = ['mkl_rt', 'pthread']
library_dirs = ['/opt/intel/composer_xe_2015/mkl/lib/intel64']
define_macros = [('SCIPY_MKL_H', None)]
include_dirs = ['/opt/intel/composer_xe_2015/mkl/include']
FOUND:
libraries = ['mkl_rt', 'pthread']
library_dirs = ['/opt/intel/composer_xe_2015/mkl/lib/intel64']
define_macros = [('SCIPY_MKL_H', None)]
include_dirs = ['/opt/intel/composer_xe_2015/mkl/include']
non-existing path in 'numpy/lib': 'benchmarks'
lapack_opt_info:
openblas_lapack_info:
libraries openblas not found in ['/usr/local/lib64', '/usr/local/lib', '/usr/lib64', '/usr/lib', '/usr/lib/']
NOT AVAILABLE
lapack_mkl_info:
mkl_info:
FOUND:
libraries = ['mkl_rt', 'pthread']
library_dirs = ['/opt/intel/composer_xe_2015/mkl/lib/intel64']
define_macros = [('SCIPY_MKL_H', None)]
include_dirs = ['/opt/intel/composer_xe_2015/mkl/include']
FOUND:
libraries = ['mkl_rt', 'pthread']
library_dirs = ['/opt/intel/composer_xe_2015/mkl/lib/intel64']
define_macros = [('SCIPY_MKL_H', None)]
include_dirs = ['/opt/intel/composer_xe_2015/mkl/include']
FOUND:
libraries = ['mkl_rt', 'pthread']
library_dirs = ['/opt/intel/composer_xe_2015/mkl/lib/intel64']
define_macros = [('SCIPY_MKL_H', None)]
include_dirs = ['/opt/intel/composer_xe_2015/mkl/include']
/usr/lib64/python2.7/distutils/dist.py:267: UserWarning: Unknown distribution option: 'define_macros'
warnings.warn(msg)
running config
running build_clib
running build_src
build_src
building py_modules sources
building library "npymath" sources
Could not locate executable icc
Could not locate executable ecc
customize Gnu95FCompiler
Found executable /usr/bin/gfortran
customize Gnu95FCompiler
customize Gnu95FCompiler using config
C compiler: icc -O3 -g -fPIC -fp-model strict -fomit-frame-pointer -openmp -xhost
compile options: '-Inumpy/core/src/private -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -Inumpy/core/include -I/usr/include/python2.7 -c'
icc: _configtest.c
sh: icc: command not found
sh: icc: command not found
failure.
removing: _configtest.c _configtest.o
Traceback (most recent call last):
File "setup.py", line 251, in <module>
setup_package()
File "setup.py", line 243, in setup_package
setup(**metadata)
File "/home/myles/Downloads/numpy-1.9.1/numpy/distutils/core.py", line 169, in setup
return old_setup(**new_attr)
File "/usr/lib64/python2.7/distutils/core.py", line 152, in setup
dist.run_commands()
File "/usr/lib64/python2.7/distutils/dist.py", line 953, in run_commands
self.run_command(cmd)
File "/usr/lib64/python2.7/distutils/dist.py", line 972, in run_command
cmd_obj.run()
File "/home/myles/Downloads/numpy-1.9.1/numpy/distutils/command/build_clib.py", line 63, in run
self.run_command('build_src')
File "/usr/lib64/python2.7/distutils/cmd.py", line 326, in run_command
self.distribution.run_command(command)
File "/usr/lib64/python2.7/distutils/dist.py", line 972, in run_command
cmd_obj.run()
File "/home/myles/Downloads/numpy-1.9.1/numpy/distutils/command/build_src.py", line 153, in run
self.build_sources()
File "/home/myles/Downloads/numpy-1.9.1/numpy/distutils/command/build_src.py", line 164, in build_sources
self.build_library_sources(*libname_info)
File "/home/myles/Downloads/numpy-1.9.1/numpy/distutils/command/build_src.py", line 299, in build_library_sources
sources = self.generate_sources(sources, (lib_name, build_info))
File "/home/myles/Downloads/numpy-1.9.1/numpy/distutils/command/build_src.py", line 386, in generate_sources
source = func(extension, build_dir)
File "numpy/core/setup.py", line 686, in get_mathlib_info
raise RuntimeError("Broken toolchain: cannot link a simple C program")
RuntimeError: Broken toolchain: cannot link a simple C program
为此，我使用 CentOS 7 作为我的操作系统。似乎由于某种原因，构建脚本找不到 icc。
我需要使用英特尔编译器进行 numpy 构建，因为根据我收集到的信息，我需要使用英特尔编译器和英特尔 MKL 进行 numpy 构建，以便自动卸载到 Xeon Phi 可用。如果有人为自动卸载到 Xeon Phi 构建了 numpy，或者只是在这件事上使用英特尔编译器构建了 numpy，我将不胜感激有关修复此错误的意见。