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我希望在我的Raspberry Pi 3 B +上使用NumPy进行一些工作，该产品使用ARM 4核Cortex-A53（ARMv8）64位（请参见底部），我不确定这笔交易是什么并行优化，blas等。在安装NumPy（python 3）之前，我使用以下命令安装了lapack和atlas

sudo apt-get install liblapack-dev
sudo apt-get install libatlas-base-dev

接下来，我安装了Numpy（使用pip3）。使用以下代码检查如何设置NumPy：

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

输出：

openblas_info:
  NOT AVAILABLE
lapack_opt_info:
    library_dirs = ['/usr/lib/atlas-base/atlas', '/usr/lib/atlas-base']
    language = f77
    define_macros = [('ATLAS_INFO', '"\\"3.10.3\\""')]
    libraries = ['lapack', 'f77blas', 'cblas', 'atlas', 'f77blas', 'cblas']
    include_dirs = ['/usr/include/atlas']
openblas_lapack_info:
  NOT AVAILABLE
blis_info:
  NOT AVAILABLE
atlas_3_10_threads_info:
  NOT AVAILABLE
blas_mkl_info:
  NOT AVAILABLE
atlas_info:
    library_dirs = ['/usr/lib/atlas-base/atlas', '/usr/lib/atlas-base']
    language = f77
    define_macros = [('ATLAS_INFO', '"\\"3.10.3\\""')]
    libraries = ['lapack', 'f77blas', 'cblas', 'atlas', 'f77blas', …