[https://nvbugs/5534705][fix] Skip unnecessary CUDA graph capture (#8… #8344
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📝 WalkthroughWalkthroughRefactors CUDA graph warmup draft-length selection in tensorrt_llm/_torch/pyexecutor/model_engine.py. Introduces a clear is_draft_model branch: selects original_max_draft_len in a specific wrapped/spec-decode/Eagle3ResourceManager case; otherwise uses max_draft_len. Non-draft path normalizes to [max_draft_len]. Moves draft-length determination before batch-size iteration and applies per-draft_len spec-decode/graph creation. Changes
Sequence Diagram(s)sequenceDiagram
autonumber
participant Caller
participant ModelEngine
participant SpecDecode
participant ResourceMgr as Eagle3ResourceManager?
participant CUDAGraph as CUDA Graph Builder
Caller->>ModelEngine: warmup()
alt is_draft_model
alt model_is_wrapped ∧ spec_decode ∧ ResourceMgr is Eagle3
ModelEngine->>ModelEngine: draft_lengths = [original_max_draft_len]
else
ModelEngine->>ModelEngine: draft_lengths = [max_draft_len]
end
else Not a draft model
opt may consider 0 internally
ModelEngine->>ModelEngine: (legacy condition check)
end
ModelEngine->>ModelEngine: draft_lengths = [max_draft_len]
end
loop for each draft_len in draft_lengths
ModelEngine->>SpecDecode: enable/adjust for draft_len
loop for each batch_size
ModelEngine->>CUDAGraph: build/record graph(draft_len, batch_size)
CUDAGraph-->>ModelEngine: graph recorded
end
end
ModelEngine-->>Caller: warmup complete
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~25 minutes Pre-merge checks and finishing touches❌ Failed checks (2 warnings)
✅ Passed checks (1 passed)
✨ Finishing touches
🧪 Generate unit tests (beta)
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tensorrt_llm/_torch/pyexecutor/model_engine.py (1)
tensorrt_llm/_torch/speculative/eagle3.py (1)
Eagle3ResourceManager(22-84)
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…IDIA#8050) Signed-off-by: ziyixiong-nv <219238287+ziyixiong-nv@users.noreply.github.com>
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Summary by CodeRabbit
Description
Cherry-pick #8050 from main to release/1.1
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