[quant][pt2e] Add early prototype top level quantize_pt2e APIs (#90802)
Summary:
This PR introduces the top level APIs for quantization support in PyTorch 2.0 Export stack
* torch.ao.quantization.quantize_pt2e.prepare_pt2e
Takes a model that is captured by the PyTorch 2.0 export (torchdynamo full graph mode) and prepares the model for calibration
for post training quantization
* torch.ao.quantization.quantize_pt2e.convert_pt2e
Takes a calibrated model and converts that to a reference quantized model that can be lowered later to quantized operator libraries or delegation modules
Also added a backend config for the qnnpack_pt2e backend:
* torch.ao.quantization.backend_config.get_qnnpack_pt2e_backend_config
Note: everything related to quantize_pt2e are experimental (prototype), and we don't have any bc guarantees
Test Plan:
python test/test_quantization.py TestQuantizePT2EModels
Reviewers:
Subscribers:
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Pull Request resolved: https://github.com/pytorch/pytorch/pull/90802
Approved by: https://github.com/qihqi
