Skip to content

Conversation

GuillaumeRochette
Copy link

This fixes #72 .

@richzhang
Copy link
Owner

Sorry, I probably should have implemented it to be like this to begin with, and then the linear layers wouldn't have to be clamped during training. But the linear layers would have to be modified for this to be computationally equivalent, so I think it'll cause confusion to merge this and update those weights at this point.

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

Successfully merging this pull request may close these issues.

LPIPS Loss producing negative values

2 participants