限制numpy中的线程数

本文介绍了限制numpy中的线程数的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！

问题描述

似乎我的 numpy 库使用了 4 个线程，并且设置 OMP_NUM_THREADS=1 并不能阻止这一点.

It seems that my numpy library is using 4 threads, and setting OMP_NUM_THREADS=1 does not stop this.

numpy.show_config() 给我这些结果:

atlas_threads_info:
    libraries = ['lapack', 'ptf77blas', 'ptcblas', 'atlas']
    library_dirs = ['/usr/lib64/atlas']
    define_macros = [('ATLAS_INFO', '"\"3.8.4\""')]
    language = f77
    include_dirs = ['/usr/include']
blas_opt_info:
    libraries = ['ptf77blas', 'ptcblas', 'atlas']
    library_dirs = ['/usr/lib64/atlas']
    define_macros = [('ATLAS_INFO', '"\"3.8.4\""')]
    language = c
    include_dirs = ['/usr/include']
atlas_blas_threads_info:
    libraries = ['ptf77blas', 'ptcblas', 'atlas']
    library_dirs = ['/usr/lib64/atlas']
    define_macros = [('ATLAS_INFO', '"\"3.8.4\""')]
    language = c
    include_dirs = ['/usr/include']
openblas_info:
  NOT AVAILABLE
lapack_opt_info:
    libraries = ['lapack', 'ptf77blas', 'ptcblas', 'atlas']
    library_dirs = ['/usr/lib64/atlas']
    define_macros = [('ATLAS_INFO', '"\"3.8.4\""')]
    language = f77
    include_dirs = ['/usr/include']

所以我知道它正在使用 blas，但我不知道如何使它使用 1 个线程进行矩阵乘法.

So I know it is using blas, but I can't figure out how to make it use 1 thread for matrix multiplication.

推荐答案

尝试设置以下所有内容:

Try setting all of the following:

export MKL_NUM_THREADS=1
export NUMEXPR_NUM_THREADS=1
export OMP_NUM_THREADS=1

有时查看多线程的确切引入位置有点棘手.

Sometimes it's a bit tricky to see where exactly multithreading is introduced.

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BLAS