[https://nvbugs/5820734][fix] Run extra general warmup to warm up memory pool

[liji-nv]

Summary by CodeRabbit

Release Notes

• Performance Improvements
  • Optimized model warmup sequence and resource allocation for better initialization efficiency
  • Enhanced batch size calculations for improved GPU memory utilization in multi-beam inference scenarios
  • Refined CUDA graph handling during warmup to maximize performance and memory efficiency

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Description

Test Coverage

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[coderabbitai]

📝 Walkthrough

Walkthrough

The changes modify warmup sequencing and resource accounting in the TensorRT-LLM model engine, adding a conditional general warmup step after CUDA graph warmup and adjusting KV cache block calculations to account for beam width multipliers. A new internal state flag for KV cache estimation is introduced in the resource manager.

Changes

Cohort / File(s)

Summary

Warmup flow and KV cache resource accounting tensorrt_llm/_torch/pyexecutor/model_engine.py, tensorrt_llm/_torch/pyexecutor/resource_manager.py

Modified warmup sequencing to include conditional general warmup after CUDA graph warmup (guarded by KV cache estimation and draft model state). Adjusted _general_warmup batch size calculation and _create_warmup_request blocks accounting to factor in max_beam_width. Updated previous_seq_slots_device beam width condition logic. Introduced is_estimating_kv_cache internal state flag in KVCacheManager.

Estimated code review effort

🎯 3 (Moderate) | ⏱️ ~20 minutes

🚥 Pre-merge checks | ✅ 1 | ❌ 2

❌ Failed checks (2 warnings)

Check name	Status	Explanation	Resolution
Docstring Coverage	⚠️ Warning	Docstring coverage is 60.00% which is insufficient. The required threshold is 80.00%.	Write docstrings for the functions missing them to satisfy the coverage threshold.
Description check	⚠️ Warning	The PR description is incomplete and lacks critical information required by the template.	Complete the Description section explaining the issue and solution. Add Test Coverage section listing relevant tests. Verify all PR Checklist items are appropriately addressed for this fix.

✅ Passed checks (1 passed)

Check name	Status	Explanation
Title check	✅ Passed	The title clearly references an NVBugs ticket and describes the fix: running an extra general warmup to warm up the memory pool, which aligns with the actual code changes.

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✨ Finishing touches

• 📝 Generate docstrings

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[liji-nv]

/bot run --disable-fail-fast

[tensorrt-cicd]

PR_Github #33182 [ run ] triggered by Bot. Commit: 82cd403

[tensorrt-cicd]

PR_Github #33182 [ run ] completed with state SUCCESS. Commit: 82cd403
/LLM/release-1.2/L0_MergeRequest_PR pipeline #168 completed with status: 'FAILURE'

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[liji-nv]

/bot run --disable-fail-fast

[tensorrt-cicd]

PR_Github #33277 [ run ] triggered by Bot. Commit: 24e3e98

[tensorrt-cicd]

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