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我需要在工作中的集群上构建 NumPy（我没有 root 访问权限）。我已经编译了我自己的 Python 2.7.3 版本（带有 --enable-shared），并且因为我没有 root 访问权限，所以 Python 位于非标准位置。不过，我在编译 NumPy 时遇到了问题。这就是我得到的：

gfairchild@cj-fe1 ~/code/packages/src/numpy-1.6.2> export CFLAGS="-L/usr/projects/infmodels/gfairchild/packages/lib"
gfairchild@cj-fe1 ~/code/packages/src/numpy-1.6.2> python setup.py build --fcompiler=gnu95
...
...
...
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/include -I/usr/projects/infmodels/gfairchild/packages/stow/Python-2.7.3/include/python2.7 -c'
gcc: _configtest.c
gcc -pthread _configtest.o -o _configtest
_configtest
failure.
removing: _configtest.c _configtest.o _configtest
building data_files sources
build_src: building npy-pkg config files
running build_py
copying numpy/version.py -> build/lib.linux-x86_64-2.7/numpy
copying build/src.linux-x86_64-2.7/numpy/__config__.py -> build/lib.linux-x86_64-2.7/numpy
copying build/src.linux-x86_64-2.7/numpy/distutils/__config__.py -> build/lib.linux-x86_64-2.7/numpy/distutils
running build_clib
customize UnixCCompiler
customize UnixCCompiler using build_clib
running build_ext
customize UnixCCompiler
customize UnixCCompiler using build_ext
customize Gnu95FCompiler
customize Gnu95FCompiler using build_ext
building 'numpy.linalg.lapack_lite' extension
compiling C sources
C compiler: gcc -pthread -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -L/usr/projects/infmodels/gfairchild/packages/lib -fPIC

compile options: '-DATLAS_INFO="\"3.6.0\"" -I/usr/include/atlas -Inumpy/core/include -Ibuild/src.linux-x86_64-2.7/numpy/core/include/numpy -Inumpy/core/src/private -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/include -I/usr/projects/infmodels/gfairchild/packages/stow/Python-2.7.3/include/python2.7 -Ibuild/src.linux-x86_64-2.7/numpy/core/src/multiarray -Ibuild/src.linux-x86_64-2.7/numpy/core/src/umath -c'
gcc: numpy/linalg/lapack_litemodule.c
gcc: numpy/linalg/python_xerbla.c
/usr/bin/gfortran -Wall -Wall -shared build/temp.linux-x86_64-2.7/numpy/linalg/lapack_litemodule.o build/temp.linux-x86_64-2.7/numpy/linalg/python_xerbla.o -L/usr/lib64/atlas -L. -Lbuild/temp.linux-x86_64-2.7 -llapack -lf77blas -lcblas -latlas -lpython2.7 -lgfortran -o build/lib.linux-x86_64-2.7/numpy/linalg/lapack_lite.so
/usr/bin/ld: cannot find -lpython2.7
collect2: ld returned 1 exit status
/usr/bin/ld: cannot find -lpython2.7collect2: ld returned 1 exit status
error: Command "/usr/bin/gfortran -Wall -Wall -shared build/temp.linux-x86_64-2.7/numpy/linalg/lapack_litemodule.o build/temp.linux-x86_64-2.7/numpy/linalg/python_xerbla.o -L/usr/lib64/atlas -L. -Lbuild/temp.linux-x86_64-2.7 -llapack -lf77blas -lcblas -latlas -lpython2.7 -lgfortran -o build/lib.linux-x86_64-2.7/numpy/linalg/lapack_lite.so" failed with exit status 1

由于某种原因，它libpython2.7.so甚至认为它位于CFLAGS. 我什至将目录添加到LD_LIBRARY_PATH：

gfairchild@cj-fe1 ~/code/packages/lib> echo $LD_LIBRARY_PATH
/usr/projects/infmodels/gfairchild/packages/lib:/usr/projects/infmodels/ep_packages/db-4.3.28/lib:/usr/projects/infmodels/ep_packages/boost/lib:/usr/projects/infmodels/ep_packages/log4cpp/lib:/usr/projects/infmodels/gfairchild/packages/lib:/usr/projects/infmodels/ep_packages/db-4.3.28/lib:/usr/projects/infmodels/ep_packages/boost/lib:/usr/projects/infmodels/ep_packages/log4cpp/lib:/opt/OpenMPI/openmpi-1.4.3-gcc/lib64

我该怎么做才能让它发挥作用？谢谢！

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2 回答 2

2

我刚刚修好了！查看 numpy-1.6.2 目录，我看到了一个名为site.cfg.example. 往里看，我看到你可以指定库和包含目录。我只是创建了一个名为的文件site.cfg，其内容如下：

[DEFAULT]
library_dirs = /usr/projects/infmodels/gfairchild/packages/lib:/usr/local/lib
include_dirs = /usr/projects/infmodels/gfairchild/packages/include:/usr/local/include

这就是它完成建造所需要的一切。m01 的解决方案（添加路径LDFLAGS）让我更进一步，但它仍然出错。该site.cfg文件允许它完成构建。

于 2012-11-27T22:55:03.700 回答
1

我认为您需要将-L/some/path选项放入LDFLAGS而不是CFLAGS. CFLAGS[通常] 传递给编译器，LDFLAGS[通常] 传递给链接器，而您正在查看链接器错误:)

顺便说一下，在这种情况下，错误出现在 Fortran 编译器错误之后。您也可以尝试提供-Lin FCFLAGS（即使它不是真正的编译器，而是链接器标志..这是以防万一您真的迫切需要破解）。

于 2012-11-27T22:46:13.937 回答