numpy的基本操作是否被矢量化,即它们是否使用SIMD操作？

Question

我正在做一些性能分析,我想知道numpy,当数据类型已知时(双倍)是否矢量化其标准数组操作.

a, b = (some numpy arrays)
c = a + b #Is this vectorized?

编辑:此操作是否已向量化,即计算是否包含SIMD操作？

Answer 1

对,他们是.

/*
 * This file is for the definitions of simd vectorized operations.
 *
 * Currently contains sse2 functions that are built on amd64, x32 or
 * non-generic builds (CFLAGS=-march=...)
 * In future it may contain other instruction sets like AVX or NEON     detected
 * at runtime in which case it needs to be included indirectly via a file
 * compiled with special options (or use gcc target attributes) so the binary
 * stays portable.
 */

链接:github上的Numpy simd.inc.src.