Yes, you can write a custom quantizer based on your capability of your backend.
Here are some references:
https://pytorch.org/executorch/stable/quantization-overview.html
https://pytorch.org/tutorials/prototype/pt2e_quantizer.html
Yes, you can write a custom quantizer based on your capability of your backend.
Here are some references:
https://pytorch.org/executorch/stable/quantization-overview.html
https://pytorch.org/tutorials/prototype/pt2e_quantizer.html