Skip to content

Conversation

@alexm-redhat
Copy link
Collaborator

@alexm-redhat alexm-redhat commented Dec 3, 2024

This PR is the first step towards caching of VLM images and skipping of the encoder execution. Currently it adds:

  1. Hashing support for images
  2. Simple LRU cache based on OrderedDict
  3. Caching of MM mapper results

TODO:

  1. Integrate with Ricky's KVCacheManager refactor
  2. Skip the encoder execution for cached embeds

@github-actions
Copy link

github-actions bot commented Dec 3, 2024

👋 Hi! Thank you for contributing to the vLLM project.
Just a reminder: PRs would not trigger full CI run by default. Instead, it would only run fastcheck CI which starts running only a small and essential subset of CI tests to quickly catch errors. You can run other CI tests on top of those by going to your fastcheck build on Buildkite UI (linked in the PR checks section) and unblock them. If you do not have permission to unblock, ping simon-mo or khluu to add you in our Buildkite org.

Once the PR is approved and ready to go, your PR reviewer(s) can run CI to test the changes comprehensively before merging.

To run CI, PR reviewers can do one of these:

  • Add ready label to the PR
  • Enable auto-merge.

🚀

@comaniac
Copy link
Collaborator

comaniac commented Dec 4, 2024

@alexm-neuralmagic is it possible to break this PR to 2 PRs so that we could merge the mm_hash sooner to unblock the embedding cache?

The current PR seems already has this functionality, so if you could add unit tests we should be good.

Also cc @yue-anyscale

@alexm-redhat
Copy link
Collaborator Author

@comaniac yeah will try to break the PR to 2 pieces.

@alexm-redhat
Copy link
Collaborator Author

Depends on #11020

@alexm-redhat
Copy link
Collaborator Author

Not necessary anymore, replaced by #11020

@WoosukKwon WoosukKwon deleted the v1_vlm_hash branch April 5, 2025 23:17
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.

2 participants