如何在numpy/scipy中检查blas/lapack链接?

I am builing my numpy/scipy environment based on blas and lapack more or less based on this walk through.

我正在构建基于blas和lapack的numpy/scipy环境。

When I am done, how can I check, that my numpy/scipy functions really do use the previously built blas/lapack functionalities?

完成后，如何检查numpy/scipy函数是否确实使用了以前构建的blas/lapack函数?

4 个解决方案

#1

What you are searching for is this: system info

您正在搜索的是:系统信息

I compiled numpy/scipy with atlas and i can check this with:

我用atlas编译numpy/scipy，我可以用:

import numpy.distutils.system_info as sysinfo
sysinfo.get_info('atlas')

Check the documentation for more commands.

查看文档以获取更多命令。

#2

246

The method numpy.__config__.show() outputs information about linkage gathered at build time. My output looks like this. I think it means I am using the BLAS/LAPACK that ships with Mac OS.

show()方法numpy.__config .show()输出关于构建时收集的链接的信息。输出是这样的。我认为这意味着我正在使用带有Mac OS的BLAS/LAPACK。

>>>import numpy as np
>>>np.__config__.show()

lapack_opt_info:
    extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
    extra_compile_args = ['-msse3']
    define_macros = [('NO_ATLAS_INFO', 3)]
blas_opt_info:
    extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
    extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
    define_macros = [('NO_ATLAS_INFO', 3)]

#3

As it uses the dynamically loaded versions, you can just do this:

由于它使用的是动态加载的版本，您可以这样做:

$ ldd anyoftheCmodules.so

where anyoftheCmodules.so could be, for example, numpy/core/_dotblas.so, which links to libblas.so.

anyoftheCmodules的地方。比如，numpy/core/_dotblas。它链接到libblas。

#4

You can use the link loader dependency tool to look at the C level hook components of your build and see whether they have external dependencies on your blas and lapack of choice. I am not near a linux box right now, but on an OS X machine you can do this inside the site-packages directory which holds the installations:

您可以使用link loader依赖性工具查看构建的C级hook组件，并查看它们是否对blas和lapack进行外部依赖。我现在不在linux机器附近，但是在OS X机器上，你可以在保存安装的站点包目录中这样做:

$ otool -L numpy/core/_dotblas.so 
numpy/core/_dotblas.so:
    /System/Library/Frameworks/Accelerate.framework/Versions/A/Accelerate (compatibility version 1.0.0, current version 4.0.0)
    /usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 125.2.0)
    /System/Library/Frameworks/vecLib.framework/Versions/A/vecLib (compatibility version 1.0.0, current version 268.0.1)

$ otool -L scipy/linalg/flapack.so 
scipy/linalg/flapack.so (architecture i386):
    /System/Library/Frameworks/Accelerate.framework/Versions/A/Accelerate (compatibility version 1.0.0, current version 4.0.0)
    /usr/local/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1.0.0)
    /usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 111.1.4)
    /System/Library/Frameworks/vecLib.framework/Versions/A/vecLib (compatibility version 1.0.0, current version 242.0.0)
scipy/linalg/flapack.so (architecture ppc):
    /System/Library/Frameworks/Accelerate.framework/Versions/A/Accelerate (compatibility version 1.0.0, current version 4.0.0)
    /usr/local/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1.0.0)
    /usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 111.1.4)

$ otool -L scipy/linalg/fblas.so 
scipy/linalg/fblas.so (architecture i386):
    /System/Library/Frameworks/Accelerate.framework/Versions/A/Accelerate (compatibility version 1.0.0, current version 4.0.0)
    /usr/local/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1.0.0)
    /usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 111.1.4)
    /System/Library/Frameworks/vecLib.framework/Versions/A/vecLib (compatibility version 1.0.0, current version 242.0.0)
scipy/linalg/fblas.so (architecture ppc):
    /System/Library/Frameworks/Accelerate.framework/Versions/A/Accelerate (compatibility version 1.0.0, current version 4.0.0)
    /usr/local/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1.0.0)
    /usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 111.1.4)

substitute ldd in place of otool on a gnu/Linux system and you should get the answers you need.

在gnu/Linux系统上代替otool替代ldd，您应该得到您需要的答案。

#1