Is there a way to do symmetric quantization for activations in post-training quantization

[Lemiron24]

https://tensorflow.google.cn/lite/performance/quantization_spec from this document we can see the post-training quantization do asymmetric quantization for activations, do symmetric quantization for wieghts.

I follow this guide: https://tensorflow.google.cn/lite/performance/post_training_integer_quant do full int8 quantization for my network mode is OK, as the above said the weights is symmetric , the feature is asymmetric.

My question is I also want the activations also is symmetric, How to do that?

thanks!

[Lemiron24]

anybody can help me. thanks very much!