benchmark

c7f0c300 - fix accuracy failure for a few models under freezing (#121054)

fix accuracy failure for a few models under freezing (#121054) Summary: Fix https://github.com/pytorch/pytorch/issues/120545 . The reason why these models fail accuracy test with freezing is due to the conv-batchnorm fusion. Conv-batchnorm fusion causes relative big numerical churn. For the failed TIMM models, raising the tolerance to `8 * 1e-2` can make the test pass. For the failed TB models, the numerical difference is too large. Having a discussion with eellison , we decided to skip them with freezing for now. One the other hand, we probably should dig more why the conv-bn fusion cause such large numerical difference. X-link: https://github.com/pytorch/pytorch/pull/121054 Approved by: https://github.com/eellison Reviewed By: izaitsevfb Differential Revision: D54472101 Pulled By: shunting314 fbshipit-source-id: ae73f623153d0df647a333b6d98bfe6a879b359c