Question

基本上，我需要将两个（10 ^ 6 x 10 ^ 6）整数元素数组相乘，而我无法使用numpy.dot。查看其他帖子，我发现如果将矩阵的类型切换为float32或更大的值，并且安装了openblas，则点运算将更快。实际上，我将数组tipe更改为float32，实际上执行起来要快得多。

所以我的问题是，假设numpy确实在使用OpenBlas，是否有任何方法可以强制numpy使用OpenBlas库，这样我仍然可以将矩阵作为int类型？

如果需要帮助，我在这里给我我的Numpy配置。

np.__config__.show()
blas_mkl_info:
  NOT AVAILABLE
blis_info:
  NOT AVAILABLE
openblas_info:
    libraries = ['openblas', 'openblas']
    library_dirs = ['/usr/local/lib']
    language = c
    define_macros = [('HAVE_CBLAS', None)]
blas_opt_info:
    libraries = ['openblas', 'openblas']
    library_dirs = ['/usr/local/lib']
    language = c
    define_macros = [('HAVE_CBLAS', None)]
lapack_mkl_info:
  NOT AVAILABLE
openblas_lapack_info:
    libraries = ['openblas', 'openblas']
    library_dirs = ['/usr/local/lib']
    language = c
    define_macros = [('HAVE_CBLAS', None)]
lapack_opt_info:
    libraries = ['openblas', 'openblas']
    library_dirs = ['/usr/local/lib']
    language = c
    define_macros = [('HAVE_CBLAS', None)]

强制numpy使用OpenBlas

0 个答案: