The weight of conv is not quantized, right?

[yongchaoding]

From utee/quant.py, I can only find the process of adding quantized layer between different layer. But when it comes to quantized weight of conv, I can not find it. So I wonder why you do not quant weight of conv, because it is importance in process of quantification.

[JensenHJS]

when I run python quantize.py --type cifar10 --quant_method linear --param_bits 8 --fwd_bits 8 --bn_bits 8 --gpu 0. It prints Traceback (most recent call last): File "quantize.py", line 64, in sf = bits - 1. - quant.compute_integral_part(v, overflow_rate=args.overflow_rate) File "/home/hjs/pytorch-playground-master/utee/quant.py", line 14, in compute_integral_part v = v.data.cpu().numpy()[0] IndexError: too many indices for array I am looking for your help 救救可怜的孩子吧，代码没跑通，进行不下去

[bezoldbrucke]

weights are quantized to integers within a certain range defined by the bit-depth (args.param_bits) before being de-quantized to float. Layers are added to quantize activation.

[aaron-xichen]

thanks @bezoldbrucke