我有一个python脚本，它由numpy和scipy函数组成。我试图检查我的代码的缩放。

numpy.show_config()

安装在我的系统中的numpy的配置显示以下信息。

blas_mkl_info:
    libraries = ['mkl_rt']
    library_dirs = ['Library\\lib']
    define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]
    include_dirs = ['Library\\include']
blas_opt_info:
    libraries = ['mkl_rt']
    library_dirs = ['Library\\lib']
    define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]
    include_dirs = ['Library\\include']
lapack_mkl_info:
    libraries = ['mkl_rt']
    library_dirs = ['Library\\lib']
    define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]
    include_dirs = ['Library\\include']
lapack_opt_info:
    libraries = ['mkl_rt']
    library_dirs = ['Library\\lib']
    define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]
    include_dirs = ['Library\\include']
Supported SIMD extensions in this NumPy install:
    baseline = SSE,SSE2,SSE3
    found = SSSE3,SSE41,POPCNT,SSE42,AVX,F16C,FMA3,AVX2,AVX512F,AVX512CD,AVX512_SKX,AVX512_CLX,AVX512_CNL
    not found =

因此，我尝试在导入numpy之前设置以下环境变量：

import os    
os.environ["OMP_NUM_THREADS"] = '16' 
os.environ["OPENBLAS_NUM_THREADS"] = '16' 
os.environ["MKL_NUM_THREADS"] = '16'

但是，我的代码仍然只使用1个线程，程序的执行时间没有差异。
我也试过设置mkl.set_num_threads(16)，但没有区别。
我知道python有GIL，它不允许多个线程同时执行，就像你在C中期望的那样。有没有其他方法来设置python中使用的线程数？