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@MrGeva MrGeva commented Sep 30, 2025

Summary by CodeRabbit

  • New Features
    • None
  • Bug Fixes
    • Improved robustness of performance metrics reporting by correctly detecting KV cache size across varied log messages.
    • Ensures reliable numeric extraction even when multiple capture groups are present, preventing missed or incorrect values.
  • Tests
    • Updated integration performance tests to handle new and legacy KV cache size log formats, reducing false negatives and improving test stability.

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MrGeva commented Sep 30, 2025

/bot run

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coderabbitai bot commented Sep 30, 2025

📝 Walkthrough

Walkthrough

Extended KV cache size parsing in perf test: broadened regex to match two log formats and updated value extraction to handle multiple capture groups by selecting the first non-None group and converting to float. No API or signature changes.

Changes

Cohort / File(s) Summary
Perf metrics parsing
tests/integration/defs/perf/test_perf.py
Broadened KV cache size regex to match original and "Final ... after resize" messages; replaced single-group extraction with first-non-None group selection and float conversion; improved robustness for multi-group matches.

Estimated code review effort

🎯 2 (Simple) | ⏱️ ~10 minutes

Pre-merge checks and finishing touches

❌ Failed checks (1 warning)
Check name Status Explanation Resolution
Description Check ⚠️ Warning The PR description remains the unmodified template and does not include any actual summary, explanation of the issue and solution, or test coverage details, leaving all key sections empty and incomplete. Please fill in the summary, Description, and Test Coverage sections with concise details of the changes and add relevant test references to complete the PR description.
✅ Passed checks (2 passed)
Check name Status Explanation
Title Check ✅ Passed The title clearly follows the repository’s template by including the GitHub issue reference and type tag and concisely describes the main change of fixing the KV cache size parsing in the specified test file for the AD backend.
Docstring Coverage ✅ Passed Docstring coverage is 100.00% which is sufficient. The required threshold is 80.00%.
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  • tests/integration/defs/perf/test_perf.py (2 hunks)
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🔇 Additional comments (2)
tests/integration/defs/perf/test_perf.py (2)

277-278: LGTM! Regex pattern correctly handles multiple log formats.

The updated regex properly matches both the original KV cache allocation message and the new resize message format. Using a non-capturing group with alternation ensures both patterns are recognized while maintaining readability.


1612-1622: LGTM! Value extraction correctly handles multiple capture groups.

The updated logic properly iterates through all capture groups to find the first non-None match, which is essential for the alternation pattern in the KV_CACHE_SIZE regex. The float conversion is correctly placed after finding a valid value.


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PR_Github #20350 [ run ] triggered by Bot

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PR_Github #20350 [ run ] completed with state SUCCESS
/LLM/main/L0_MergeRequest_PR pipeline #15351 completed with status: 'FAILURE'

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MrGeva commented Sep 30, 2025

/bot run

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PR_Github #20368 [ run ] triggered by Bot

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PR_Github #20368 [ run ] completed with state SUCCESS
/LLM/main/L0_MergeRequest_PR pipeline #15364 completed with status: 'FAILURE'

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MrGeva commented Sep 30, 2025

/bot run

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PR_Github #20388 [ run ] completed with state SUCCESS
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MrGeva commented Sep 30, 2025

/bot run

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PR_Github #20407 [ run ] completed with state SUCCESS
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MrGeva commented Oct 1, 2025

/bot run

@MrGeva MrGeva requested a review from ruodil October 1, 2025 05:36
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PR_Github #20440 [ run ] triggered by Bot

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PR_Github #20440 [ run ] completed with state DISABLED
L0 testing is limited to prioritized users. User MrGeva is not in the prioritized list. L0 testing cannot be triggered.

@MrGeva MrGeva self-assigned this Oct 1, 2025
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MrGeva commented Oct 1, 2025

/bot run

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PR_Github #20450 [ run ] triggered by Bot

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PR_Github #20450 [ run ] completed with state SUCCESS
/LLM/main/L0_MergeRequest_PR pipeline #15417 completed with status: 'FAILURE'

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MrGeva commented Oct 1, 2025

/bot run

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PR_Github #20458 [ run ] triggered by Bot

@MrGeva MrGeva enabled auto-merge (squash) October 1, 2025 14:52
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PR_Github #20458 [ run ] completed with state SUCCESS
/LLM/main/L0_MergeRequest_PR pipeline #15424 completed with status: 'FAILURE'

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MrGeva commented Oct 2, 2025

/bot run

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PR_Github #20516 [ run ] triggered by Bot

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PR_Github #20516 [ run ] completed with state SUCCESS
/LLM/main/L0_MergeRequest_PR pipeline #15475 completed with status: 'FAILURE'

Signed-off-by: Eran Geva <19514940+MrGeva@users.noreply.github.com>
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MrGeva commented Oct 2, 2025

/bot run

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PR_Github #20546 [ run ] triggered by Bot

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PR_Github #20546 [ run ] completed with state SUCCESS
/LLM/main/L0_MergeRequest_PR pipeline #15503 completed with status: 'SUCCESS'
Pipeline passed with automatic retried tests. Check the rerun report for details.

@MrGeva MrGeva merged commit 4136942 into NVIDIA:main Oct 2, 2025
5 checks passed
evezhier pushed a commit to evezhier/TensorRT-LLM that referenced this pull request Oct 3, 2025
… backend (NVIDIA#8092)

Signed-off-by: Eran Geva <19514940+MrGeva@users.noreply.github.com>
faradawn pushed a commit to faradawn/TensorRT-LLM that referenced this pull request Oct 3, 2025
… backend (NVIDIA#8092)

Signed-off-by: Eran Geva <19514940+MrGeva@users.noreply.github.com>
Signed-off-by: Faradawn Yang <faradawny@gmail.com>
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