如何在NumPy和SciPy中检查BLAS/LAPACK链接？
如何在NumPy和SciPy中检查BLAS/LAPACK链接？
提问于 2012-01-25 17:15:34
我正在基于blas和lapack构建我的numpy/scipy环境，或多或少基于this遍历。
完成后，如何检查我的numpy/scipy函数是否真的使用了之前构建的blas/lapack功能？
回答 5
Stack Overflow用户
回答已采纳
发布于 2013-10-14 05:01:24
方法numpy.show_config() (或numpy.__config__.show())输出在构建时收集的有关链接的信息。我的输出如下所示。我想这意味着我正在使用Mac OS附带的BLAS/LAPACK。
>>> import numpy as np
>>> np.show_config()
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)]Stack Overflow用户
发布于 2012-01-25 20:24:16
您要搜索的内容是：system info
我用atlas编译了numpy/scipy，我可以用以下命令检查：
import numpy.distutils.system_info as sysinfo
sysinfo.get_info('atlas')有关更多命令，请查看文档。
Stack Overflow用户
发布于 2012-01-25 19:39:18
您可以使用链接加载器依赖工具来查看构建的C级挂钩组件，并查看它们是否对您选择的blas和lapack具有外部依赖关系。我现在不在linux机器附近，但在OS X机器上，您可以在包含安装的site-packages目录中执行此操作：
$ 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)在gnu/Linux系统上用ldd代替otool，您应该会得到所需的答案。
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原文链接：
https://stackoverflow.com/questions/9000164
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