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

Why manually manage L2 norm multiplication of model parameters ? #279

Open
zhijiejia opened this issue Mar 28, 2023 · 1 comment
Open

Why manually manage L2 norm multiplication of model parameters ? #279

zhijiejia opened this issue Mar 28, 2023 · 1 comment
Labels
question Further information is requested

Comments

@zhijiejia
Copy link

Please refer to the FAQ in doc and search for the related issues before you ask the question.

Describe the question(问题描述)
In Class: BaseModel, Why manually manage L2 norm multiplication of model parameters ? Why not use the optimizer to achieve this ? Is it set up like this on purpose?
image

Operating environment(运行环境):

  • deepctr-torch version [0.2.9]
@zhijiejia zhijiejia added the question Further information is requested label Mar 28, 2023
@zhijiejia
Copy link
Author

Why the dense feature can have gt 1 dimension ? Can provide a example to prove it ?

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

No branches or pull requests

1 participant