[quant][pt2e] Support setting qconfig by module_type (#92355)
Summary:
This PR supports the following feature for QConfigMapping:
```
qconfig_mapping = QConfigMapping().set_object_type(torch.nn.Conv2d, qconfig)
backend_config = get_qnnpack_pt2e_backend_config()
m = prepare_pt2e(m, qconfig_mapping, example_inputs, backend_config)
```
which means users want to set the qconfig for all calls to `torch.nn.Conv2d` to use `qconfig`, note this is only verified for the case when the module is broken down to a single aten op right now, e.g. torch.nn.Conv2d will be torch.ops.aten.convolution op when traced through. will need to support more complicated modules that is broken down to multiple operators later, e.g. (MaxPool)
Test Plan:
python test/test_quantization.py TestQuantizePT2E.test_qconfig_module_type
Reviewers:
Subscribers:
Tasks:
Tags:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/92355
Approved by: https://github.com/jcaip
