How to let the two input nodes of `add` op share the same quantization params(scale and zero point)?

If the two input nodes of add op share the same quantization params(scale and zero point), the calculation of quantized_add will be simpler. Can multiple nodes share the same observer in FX Graph Mode Quantization?

we don’t support this in fx, but the new quant flow will support this: How to Write a Quantizer for PyTorch 2 Export Quantization — PyTorch Tutorials 2.1.0+cu121 documentation

Thanks for your reply.