dbr quant: enable reference module support for torch.qint32 (#73493)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/73493
This PR enables basic support for reference modules in DBR quant.
For now, the support is limited to:
1. modules that have reference versions defined only (no functions)
2. torch.qint32 dtype only
Currently, the reference module logic is enabled whenever dtype is
torch.qint32. This is done because this is needed the earliest for
the first use case. A future PR will support more dtypes and also
add the `is_reference` flag to the API.
Test Plan:
```
python test/test_quantization.py TestQuantizeDBR.test_conv_int32_reference_model
```
Reviewed By: jerryzh168
Differential Revision: D34520759
Pulled By: vkuzo
fbshipit-source-id: 363db715315c5c7c20962a1818330ce288948778
(cherry picked from commit 6ccdfe2889c252211f191edc49f4147f66e803a4)
