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[LMM] Implement merged multimodal processor for whisper #13278
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Signed-off-by: isotr0py <[email protected]>
Signed-off-by: isotr0py <[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 🚀 |
Signed-off-by: isotr0py <[email protected]>
Signed-off-by: isotr0py <[email protected]>
Signed-off-by: Isotr0py <[email protected]>
Signed-off-by: Isotr0py <[email protected]>
Signed-off-by: Isotr0py <[email protected]>
prompt: Union[str, list[int]], | ||
mm_data: MultiModalDataDict, | ||
) -> Union[str, list[int]]: | ||
return [0] |
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cc @ywang96 is it safe to change the encoder prompt given the change in vllm/multimodal/profiling.py?
Co-authored-by: Cyrus Leung <[email protected]>
Co-authored-by: Cyrus Leung <[email protected]>
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LGTM. Just need @ywang96 to comment on the profiling changes.
After this PR, can you update the model development docs with some info on how to implement merged multi-modal processor for encoder-decoder models? |
Yes, I will add a doc using whisper and florence-2 as e2e example respectively after this PR and #13320 merged, because there is also a minor change on |
Signed-off-by: Isotr0py <[email protected]>
TODO