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

how to load robust loss parameters #26

Open
1171000410 opened this issue Apr 30, 2021 · 1 comment
Open

how to load robust loss parameters #26

1171000410 opened this issue Apr 30, 2021 · 1 comment

Comments

@1171000410
Copy link

Hello, thank you very much for your elegant code. I want to use robust loss to train the model in the first stage and load the pre-trained model in the second stage. I am confused about how to save and load the parameters of AdaptiveLossFunction.

@jonbarron
Copy link
Owner

It should be the same as loading/saving the parameters of any pytorch module. I can't really help you more than that, as I don't use pytorch --- all of the pytorch code I've ever written is in this repository.

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