Fix mobilenetv2 inductor freezing fail_accuracy (#145296)
Summary:
Issue: https://github.com/pytorch/pytorch/issues/144891
inductor freezing effectively enables inductor conv-batchnorm fusion. This fusion increases the accuracy error.
More context about this: https://github.com/pytorch/pytorch/issues/120545
For Timm models that are run through benchmarks/dynamo/timm_models.py with TimsRunner the tolerance was increased here:
https://github.com/pytorch/pytorch/blob/main/benchmarks/dynamo/timm_models.py#L367
If to comment out conv-batchnorm fusion as Elias suggested in Context issue, the accuracy is back.
=>
Increasing tolerace for mobilenetv2 to the same value via introducing the special configuration for tolerance for freezing only
X-link: https://github.com/pytorch/pytorch/pull/145296
Approved by: https://github.com/eellison, https://github.com/zou3519
Reviewed By: izaitsevfb
Differential Revision: D68509876
fbshipit-source-id: f748156d78541fe33da63bf5b9cb6a3bd4045294
