pytorch

ef501e8f - [bc-breaking][quant][be] Refactor fuser_method to include `is_qat` argument (#70009)

[bc-breaking][quant][be] Refactor fuser_method to include `is_qat` argument (#70009) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/70009 Currently we rely on module.training to decide whether we'll do a qat fusion or ptq fusion, this is not ideal since training flag has nothing to do with quantization, this PR introduces an extra flag `is_qat` to control this Note: currently we still has the constraint that when `is_qat` is True, the modules must be in training mode, we can relax this constraint later Test Plan: ``` python test/test_quantization.py TestFuseFx python test/test_quantization.py TestFusion ``` Imported from OSS **Static Docs Preview: classyvision** |[Full Site](https://our.intern.facebook.com/intern/staticdocs/eph/D33178977/V36/classyvision/)| |**Modified Pages**| Reviewed By: mruberry Differential Revision: D33178977 fbshipit-source-id: 0c1499c45526971140d9ad58e2994d1edf5ad770 (cherry picked from commit 2d51f9fb28967f1c5aab260d84b8d32d838f4f26)