Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly
Appearance settings

Iterate over tokens that should be biased rather than the entire vocabulary. #851

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.

Sign up for GitHub

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

Merged
merged 1 commit into from
Nov 1, 2023
Merged

Iterate over tokens that should be biased rather than the entire vocabulary. #851

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
7 changes: 3 additions & 4 deletions 7 llama_cpp/server/app.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -596,10 +596,9 @@ def logit_bias_processor(
input_ids: npt.NDArray[np.intc],
scores: npt.NDArray[np.single],
) -> npt.NDArray[np.single]:
new_scores = [None] * len(scores)
for input_id, score in enumerate(scores):
new_scores[input_id] = score + to_bias.get(input_id, 0.0)

new_scores = np.copy(scores) # Does it make sense to copy the whole array or can we just overwrite the original one?
for input_id, score in to_bias.items():
new_scores[input_id] = score + scores[input_id]
return new_scores

return logit_bias_processor
Expand Down
Morty Proxy This is a proxified and sanitized view of the page, visit original site.