Inada Naoki <songofaca...@gmail.com> added the comment:
I had suspected that pypeformance just don't have enough workload for non-small int. For example, spectral_norm is integer heavy + some float warkload. But bm_spectral_norm uses `DEFAULT_N = 130`. So most integers are fit into smallint cache. On the othar hand, spectral_norm in the benchmarkgame uses N=5500. https://benchmarksgame-team.pages.debian.net/benchmarksgame/program/spectralnorm-python3-8.html So I ran the benchmark on my machine: master: real 1m24.647s user 5m37.515s patched: real 1m19.033s user 5m14.682s master+increased small int from [-5, 256] to [-9, 1024] real 1m23.742s user 5m33.569s 314.682/337.515 = 0.9323496733478512. So ther is only 7% speedup even when N=5500. After all, I think it is doubtful. Let's stop this idea until situation is changed. ---------- _______________________________________ Python tracker <rep...@bugs.python.org> <https://bugs.python.org/issue24165> _______________________________________ _______________________________________________ Python-bugs-list mailing list Unsubscribe: https://mail.python.org/mailman/options/python-bugs-list/archive%40mail-archive.com
