tensorflow / tensorflow/tensorboard
Embedding projector only loads first 100,000 vectors
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plugin:projector
stat:contributions welcome
theme:performance
- Dominant language
- TypeScript
- Stars
- 7.2k
- Forks
- 1.7k
- Avg merge
- 4d 22h
- Merged PRs (30d)
- 1
Description
Embedding projector only loads first 100000 vectors. In many real world applications, embedding dictionaries are well over 1Mil. Need some way to display vectors from larger sets or at least have a way to configure what the upper limit is.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by locating the embedding projector code that enforces the 100000-vector limit and trace how vector data is loaded and displayed. Define whether completion means supporting larger dictionaries, exposing a configurable upper bound, or both, then verify the projector handles datasets above the current limit.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- typescript
- Domain
- data-visualization
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100