You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
{{ message }}
This repository has been archived by the owner on Jun 13, 2024. It is now read-only.
You could set 'qa' to 0 to train a cifar10 model with weight quantization only. But we didn't provide the interface to quantize weight only for ImageNet. If you want, you should change related codes in learned_quantization.py
In cifar10-vgg-small.py- if 'qa'=0 then you do not use 'QuantizedActiv' function.
Does this imply that if 'QuantizedActiv' function is an identity function; Imagenet.py will perform weight quantization only?
Thanks!
Sign up for freeto subscribe to this conversation on GitHub.
Already have an account?
Sign in.
I wanted to quantize weights only. Should 'qa' be set equal to 0/32?
Thanks
The text was updated successfully, but these errors were encountered: