Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Paper Question: Use compression idea and generate same result as multi-branch model? #89

Open
oconnor127 opened this issue May 17, 2022 · 1 comment

Comments

@oconnor127
Copy link

oconnor127 commented May 17, 2022

Hey,

I am just curious if I get this right. Could I just use your re-parametrization approach as a "compression approach" and thus make those multi-branch networks (e.g. ResNet, MobileNet etc.) plain and gain speed improvements while achieving similar accuracy ?

@DingXiaoH
Copy link
Owner

We cannot make an arbitrary multi-branch model single-branch because the conversion will not be equivalent if the model has nonlinearity before the addition of branches. We must design the structure properly to allow such equivalent conversion.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants