why the benchmark uses median data instead of avg data?

[sleepwalker2017]

   quantiles = [0.5, 0.2, 0.8]
    if provider == 'cublas':
        ms, min_ms, max_ms = triton.testing.do_bench(lambda: torch.matmul(a, b), quantiles=None)

I see the code here, it uses the median time cost instead of the avg data.

In my benchmark, the result for cublas varies a lot in different test. I don't know why.

[yunjiangster]

Median is more stable than avg in statistics. It reduces outlier impact.