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[Kernel] Add trition.autotune to address the high latency overhead of punica kernels #14272
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… kernels Signed-off-by: Congcong Chen <[email protected]>
👋 Hi! Thank you for contributing to the vLLM project. 💬 Join our developer Slack at https://slack.vllm.ai to discuss your PR in #pr-reviews, coordinate on features in #feat- channels, or join special interest groups in #sig- channels. Just a reminder: PRs would not trigger full CI run by default. Instead, it would only run 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 either: Add 🚀 |
Thanks for your contribution, have you tested the performance of autotune on models like llama? |
Nope, I am not familiar with the llama family of models that use LoRA. Do you know any of those? |
@DarkLight1337 could you take a look in this one? Thanks! |
I'll hand it over to @jeejeelee as he is more familiar with these kernels. |
Hi @congcongchen123 Could you please rebase these changes from master again ? I think the files are no longer existing. |
This pull request has merge conflicts that must be resolved before it can be |
This pull request has been automatically marked as stale because it has not had any activity within 90 days. It will be automatically closed if no further activity occurs within 30 days. Leave a comment if you feel this pull request should remain open. Thank you! |
Now with Phi-4-multimodal-instruct merged into main, we would like to have another PR to address the high latency overhead we have observed for Phi4-multimod when using LoRA.
Benchmark results with this PR:

ttft: time to first token (in seconds)
tbt: time between token (in seconds)