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[DO NOT MERGE] VLM offline benchmark with MMMU-Pro
vision
#11196
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Co-authored-by: Cody Yu <[email protected]> Signed-off-by: Roger Wang <[email protected]>
👋 Hi! Thank you for contributing to the vLLM project. 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:
🚀 |
Signed-off-by: Roger Wang <[email protected]>
Signed-off-by: Roger Wang <[email protected]>
Signed-off-by: Roger Wang <[email protected]>
Signed-off-by: Roger Wang <[email protected]>
Signed-off-by: Roger Wang <[email protected]>
Signed-off-by: Cody Yu <[email protected]>
Found that asyncio doesn't work because both initialize_llm and sample_hf_requests are blocking. Add |
Signed-off-by: Roger Wang <[email protected]>
Signed-off-by: Roger Wang <[email protected]>
Opened this PR to share the mini offline batch inference benchmark with MMMU-Pro vision.
We may iterate on this and add support for other frameworks for comparison purposes.