Jzz
Jzz
https://github.com/666DZY666/micronet/blob/096d9911b92aec9c52a5ddf1d8d694c32f345111/micronet/compression/quantization/wqaq/iao/quantize.py#L135 比如input = -2.5,  感觉需要添加一个判断 `tensor[tensor < 0] = torch.ceil(tensor[tensor < 0] - 0.5)`
I noticed that,SNPE support bias quant bitwidth 8/32,In DSP,how the DSP accumulate the 8/32 quantized bias into the int32 accumulator ? how do aimet simulate the quant bias add ?
i want to check the register buffer value 'zero_point' and 'scale' by print mode.state_dict, but model.state_dict seems do not record 'zero_point' and 'scale' ? how can i check the 'zero...