Hi, Ricardo Wurmus <rek...@elephly.net> skribis:
> Numpy accelerates operations with native code. Early in the build it > probes the CPU / compiler for supported instruction extensions and > then proceeds to build extensions for different features. I’m > guessing that this won’t work when building on older CPUs, so the > results of two builds on different CPUs may differ. I don’t see anything in the build log that suggests it might be building for a specific ISA extension (on x86_64). On the contrary, it seems to do the right thing by dispatching to the right optimized implementation at run time, in numpy/core/src/umath. Apparently this directory contains templates for home-made function multi-versioning, with variants and dispatch code generated by numpy/core/code_generators/generate_umath.py. Besides, I see the same .pyc difference as Maxime, but I don’t think it relates to ISA extensions. Ludo’.
