[quant][graphmode] Swap quantized functional linear with aten::linear (#33853)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/33853
Quant fusion relies on inline, but inline will break the CallFunction("linaer", ...) into a if block
it will be hard to recognize this block and swap it with quantized::linear, in order to
preserve the op, we will swap all quantized functional linear into aten::linear.
They might produce different backward graph, but this is called in the step before we get quantized
model, so it shouldn't affect anything.
We'll integrate this with convert_script later in the new "finalize_quant" API
Test Plan:
python test/test_jit.py
Imported from OSS
Differential Revision: D20343873
fbshipit-source-id: 423e03bf893b79267d2dc97bc997ee1bfe54ec0f
