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[TRTLLM-5059][feat] Enable KV-cache reuse and add E2E tests for llava-next by chang-l · Pull Request #7349 · NVIDIA/TensorRT-LLM · GitHub
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@chang-l chang-l commented Aug 28, 2025

This PR is related to #7628 and #7563, and should be kept in sync.

Summary by CodeRabbit

  • Performance
    • Optimized multimodal embedding handling by reusing cached representations, reducing redundant computation and improving latency for image+text prompts in non-disaggregated mode.
  • Bug Fixes
    • Improved robustness in processing multimodal inputs before fusion, reducing edge cases that could impact generation quality in certain scenarios.

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@chang-l chang-l requested a review from a team as a code owner August 28, 2025 17:23
@chang-l chang-l requested a review from brb-nv August 28, 2025 17:23
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coderabbitai bot commented Aug 28, 2025

📝 Walkthrough

Walkthrough

Introduces a preprocessing step in LLaVA-Next’s non-DISAGG forward path: after obtaining multimodal embeddings, applies find_uncached_mm_embeds to mm_embeds based on multimodal_params, then proceeds to fuse_input_embeds. Imports are updated accordingly. DISAGG path is unchanged. No public API signatures are modified.

Changes

Cohort / File(s) Summary
LLaVA-Next forward path adjustment
tensorrt_llm/_torch/models/modeling_llava_next.py
- Import find_uncached_mm_embeds from .modeling_multimodal_utils
- In non-DISAGG flow, after computing mm_embeds, call find_uncached_mm_embeds(mm_embeds, multimodal_params[:num_context_requests]) before fuse_input_embeds
- Applies only when multimodal_params exist; DISAGG branch unchanged

Sequence Diagram(s)

sequenceDiagram
  autonumber
  actor Caller
  participant LLaVA_Next as LLaVA-Next Model
  participant MM_Embed as multimodal_embedding / mm_encoder
  participant Uncached as find_uncached_mm_embeds
  participant Fuse as fuse_input_embeds

  Caller->>LLaVA_Next: forward(input_ids, multimodal_params, ...)
  alt DISAGG == false and multimodal_params present
    LLaVA_Next->>MM_Embed: compute mm_embeds
    MM_Embed-->>LLaVA_Next: mm_embeds
    LLaVA_Next->>Uncached: find_uncached_mm_embeds(mm_embeds, multimodal_params[:num_context_requests])
    Uncached-->>LLaVA_Next: filtered/transformed mm_embeds
    LLaVA_Next->>Fuse: fuse_input_embeds(input_embeds, mm_embeds, ...)
    Fuse-->>LLaVA_Next: fused_embeds
  else DISAGG == true or no multimodal_params
    LLaVA_Next->>Fuse: fuse_input_embeds(input_embeds, mm_embeds, ...)
    Fuse-->>LLaVA_Next: fused_embeds
  end
  LLaVA_Next-->>Caller: outputs
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Estimated code review effort

🎯 3 (Moderate) | ⏱️ ~20 minutes

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  • Shixiaowei02
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@chang-l chang-l requested review from 2ez4bz and Wanli-Jiang August 28, 2025 17:23
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Actionable comments posted: 2

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  • tensorrt_llm/_torch/models/modeling_llava_next.py (2 hunks)
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chang-l commented Aug 28, 2025

/bot run

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PR_Github #16898 [ run ] triggered by Bot

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PR_Github #16898 [ run ] completed with state SUCCESS
/LLM/main/L0_MergeRequest_PR pipeline #12694 completed with status: 'FAILURE'

@chang-l chang-l changed the title [TRTLLM-5059][feat] Add kv cache reuse for LlavaNext [TRTLLM-5059][feat] Enable KV cache reuse for VLMs Sep 5, 2025
@chang-l chang-l marked this pull request as draft September 5, 2025 16:51
@chang-l chang-l changed the title [TRTLLM-5059][feat] Enable KV cache reuse for VLMs [TRTLLM-5059][feat] Enable KV cache reuse for Llava-Next Sep 8, 2025
@chang-l chang-l marked this pull request as ready for review September 8, 2025 16:15
Signed-off-by: Chang Liu (Enterprise Products) <9713593+chang-l@users.noreply.github.com>
@chang-l chang-l force-pushed the enable_kvcache_reuse_llavanext branch from 18c74d7 to f27d7c2 Compare September 8, 2025 16:15
@chang-l chang-l changed the title [TRTLLM-5059][feat] Enable KV cache reuse for Llava-Next [TRTLLM-5059][feat] Enable KV-cache reuse and add E2E tests for llava-next Sep 8, 2025
Signed-off-by: Chang Liu (Enterprise Products) <9713593+chang-l@users.noreply.github.com>
@chang-l chang-l requested a review from a team as a code owner September 8, 2025 19:47
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chang-l commented Sep 8, 2025

/bot run

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PR_Github #18101 [ run ] triggered by Bot

Signed-off-by: Chang Liu (Enterprise Products) <9713593+chang-l@users.noreply.github.com>
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LGTM

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PR_Github #18101 [ run ] completed with state SUCCESS
/LLM/main/L0_MergeRequest_PR pipeline #13565 completed with status: 'SUCCESS'

Signed-off-by: Chang Liu (Enterprise Products) <9713593+chang-l@users.noreply.github.com>
Signed-off-by: Chang Liu (Enterprise Products) <9713593+chang-l@users.noreply.github.com>
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chang-l commented Sep 9, 2025

/bot reuse-pipeline

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chang-l commented Sep 9, 2025

/bot reuse-pipeline

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PR_Github #18257 [ reuse-pipeline ] triggered by Bot

@chang-l chang-l enabled auto-merge (squash) September 9, 2025 18:36
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PR_Github #18257 [ reuse-pipeline ] completed with state SUCCESS
Reusing PR_Github #18101 for commit f19f5c6

@chang-l chang-l merged commit faa2f46 into NVIDIA:main Sep 9, 2025
5 checks passed
Wong4j pushed a commit to Wong4j/TensorRT-LLM that referenced this pull request Sep 20, 2025
…-next (NVIDIA#7349)

Signed-off-by: Chang Liu (Enterprise Products) <9713593+chang-l@users.noreply.github.com>
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5 participants