[quant][refactor] Refactor find_matches for easier future extension (#74878)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/74878
Previously we record the matched node as a list of nodes: `List[Node]`, this does not generalize
to a graph, which is needed for future use cases, in this PR we changed the recorded node as
NodePattern instead, currently defined as
```
NodePattern = Union[Tuple[Node, Node], Tuple[Node, Tuple[Node, Node]], Any]
```
but can be more general.
This will allow us to support more general patterns with backend_config_dict api, and is also needed
for BinaryOpQuantizeHandler refactor
Test Plan:
python test/test_quantization.py TestQuantizeFx
python test/test_quantization.py TestQuantizeFxOps
Imported from OSS
Reviewed By: vkuzo
Differential Revision: D35203616
fbshipit-source-id: f4bf5b056cfc0955455eea9c2bf1ac9f6dde3974
(cherry picked from commit b290c047e1861bbb62fb1bb576761e801b210220)
pytorch
23bcab19 - [quant][refactor] Refactor find_matches for easier future extension (#74878)
