Reduce profiling runs on distributed models to 2
Many of the models are fairly large, and 10 iterations is way too much
(chrometrace take sa long time to load and freezes). 2 is probably
enough for most applications and even on the largest models the results
are reasonable.
ghstack-source-id: 7d2a62e64b5d8b512d7ca810b9bb3433970a15c3
Pull Request resolved: https://github.com/pytorch/benchmark/pull/1243
