[quant][fx] Support some default ops in the native backend config (#74600)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/74600
Following https://github.com/pytorch/pytorch/pull/74210, this PR adds the support for some ops
using the DefaultNodeQuantizeHandler in the backend_config_dict defintion for pytorch native backend
TODO: There is still a few ops we didn't handle with backend_config_dict path: gelu and softmax, need to discuss if we still need them, if so we can change the test
to use backend_config_dict and remove the DefaultNodeQuantizeHandler after that
Test Plan:
python test/test_quantization.py TestQuantizeFxOps
Imported from OSS
Reviewed By: andrewor14
Differential Revision: D35071437
fbshipit-source-id: 70351d2810ca1ac7dc09d4a9c239f6757ccb51ca
(cherry picked from commit 5e68f755a32ba7d90d6c73db9c2017f9c58d7fa5)
