linux - 如何确保numpy BLAS库可用作动态可加载库？

theano installation documentation指出，如果“BLAS库可作为可动态加载的库使用”，则theano将默认使用numpy中的BLAS库。这似乎在我的机器上不起作用，请参阅错误消息。

我如何确定numpy BLAS库是否可以动态加载？

如果无法动态加载numpy BLAS库，我该如何重新编译它们？

请指出是否需要更多信息!

错误消息
We did not found a dynamic library into the library_dir of the library we use for blas. If you use ATLAS, make sure to compile it with dynamics library./usr/bin/ld: cannot find -lblas
附录

theano库需要numpy和BLAS库。我认为numpy是BLAS附带的，如果您在Ubuntu下使用 sudo apt-get install python-numpy python-scipy 安装它。

这是/usr/lib64/python2.6/dist-packages/scipy/lib/blas的文件列表

cblas.so  info.py   __init__.py   scons_support.py   setup.py
fblas.so  info.pyc  __init__.pyc  scons_support.pyc  setup.pyc
setupscons.py  test
setupscons.pyc

这是distutils.__config__.show()的输出如下

blas_info:
    libraries = ['blas']
    library_dirs = ['/usr/lib64']
    language = f77

lapack_info:
    libraries = ['lapack']
    library_dirs = ['/usr/lib64']
    language = f77

atlas_threads_info:
  NOT AVAILABLE

blas_opt_info:
    libraries = ['blas']
    library_dirs = ['/usr/lib64']
    language = f77
    define_macros = [('NO_ATLAS_INFO', 1)]

atlas_blas_threads_info:
  NOT AVAILABLE

lapack_opt_info:
    libraries = ['lapack', 'blas']
    library_dirs = ['/usr/lib64']
    language = f77
    define_macros = [('NO_ATLAS_INFO', 1)]

atlas_info:
  NOT AVAILABLE

lapack_mkl_info:
  NOT AVAILABLE

blas_mkl_info:
  NOT AVAILABLE

atlas_blas_info:
  NOT AVAILABLE

mkl_info:
  NOT AVAILABLE

最佳答案

下载python库的Anaconda发行版后，我刚刚在64位Ubuntu 12.04 LTS上遇到了相同的问题。将Theano指向包含libblas.so的目录已处理完毕。
$ THEANO_FLAGS=blas.ldflags="-L/usr/lib/ -lblas" python rbm.py

关于linux - 如何确保numpy BLAS库可用作动态可加载库？，我们在Stack Overflow上找到一个类似的问题：https://stackoverflow.com/questions/6789368/