calculate execution time based on final iterations (#19299)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/19299
I saw larger than 5% performance variation with small operators, this diff aims to reduce the variation by avoiding python overhead. Previously, in the benchmark, we run the main loop for 100 iterations then look at the time. If it's not significant, we will double the number of iterations to rerun and look at the result. We continue this process until it becomes significant. We calculate the time by total_time / number of iterations. The issue is that we are including multiple python trigger overhead.
Now, I change the logic to calculate execution time based on the last run instead of all runs, the equation is time_in_last_run/number of iterations.
Reviewed By: hl475
Differential Revision: D14925287
fbshipit-source-id: cb646298c08a651e27b99a5547350da367ffff47
