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[None][chore] Remove logprobs constraint on trtllm-serve pytorch backend - #9911

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LinPoly merged 2 commits into
NVIDIA:mainfrom
LinPoly:pengyunl/serve_logprobs_test
Dec 22, 2025
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[None][chore] Remove logprobs constraint on trtllm-serve pytorch backend#9911
LinPoly merged 2 commits into
NVIDIA:mainfrom
LinPoly:pengyunl/serve_logprobs_test

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@LinPoly LinPoly commented Dec 11, 2025

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Summary by CodeRabbit

  • Tests
    • Improved test infrastructure for logprobs functionality with enhanced temporary file management and conditional backend-specific option handling.

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Description

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Signed-off-by: Pengyun Lin <81065165+LinPoly@users.noreply.github.com>
@LinPoly
LinPoly requested a review from JunyiXu-nv December 11, 2025 10:44
@LinPoly LinPoly self-assigned this Dec 11, 2025
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coderabbitai Bot commented Dec 11, 2025

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📝 Walkthrough

Walkthrough

Test file refactored to use pytest's tmp_path_factory fixture for temporary file management, replacing dynamic tempfile creation. Server invocation logic updated to conditionally pass --extra_llm_api_options only for TRT backends. Test simplified by removing backend parameter and skip logic; test_chat_completion_top1_logprobs removed entirely.

Changes

Cohort / File(s) Summary
Test fixture and test simplification
tests/unittest/llmapi/apps/_test_trtllm_serve_top_logprobs.py
Added temp_extra_llm_api_options_file fixture using tmp_path_factory for temporary YAML file creation. Modified server fixture to conditionally pass --extra_llm_api_options argument only when backend is TRT. Removed backend parameter from test_chat_completion_top5_logprobs signature and eliminated conditional skip logic. Removed test_chat_completion_top1_logprobs test entirely.

Estimated code review effort

🎯 2 (Simple) | ⏱️ ~10 minutes

  • Single test file with focused, repetitive changes
  • Fixture refactoring and test simplification are straightforward pattern changes
  • No complex logic or architectural modifications

Pre-merge checks and finishing touches

❌ Failed checks (2 warnings)
Check name Status Explanation Resolution
Docstring Coverage ⚠️ Warning Docstring coverage is 0.00% which is insufficient. The required threshold is 80.00%. You can run @coderabbitai generate docstrings to improve docstring coverage.
Description check ⚠️ Warning The pull request description is largely incomplete - the 'Description' and 'Test Coverage' sections are empty, lacking explanation of the issue, solution, and test safeguards. Fill in the Description section with a clear explanation of the issue and the solution. List relevant tests in the Test Coverage section that validate the changes to ensure sufficient test coverage.
✅ Passed checks (1 passed)
Check name Status Explanation
Title check ✅ Passed The title clearly and specifically describes the main change: removing a logprobs constraint on the TRT-LLM serve PyTorch backend, which matches the code changes that refactor test logic and remove backend-specific constraints.
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@JunyiXu-nv JunyiXu-nv left a comment

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LGTM

@LinPoly

LinPoly commented Dec 18, 2025

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/bot run

@LinPoly

LinPoly commented Dec 19, 2025

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/bot run

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PR_Github #29115 [ run ] triggered by Bot. Commit: 8aba8e5

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PR_Github #29115 [ run ] completed with state SUCCESS. Commit: 8aba8e5
/LLM/main/L0_MergeRequest_PR pipeline #22326 completed with status: 'SUCCESS'

@LinPoly
LinPoly merged commit 0f308e9 into NVIDIA:main Dec 22, 2025
5 checks passed
codego7250 pushed a commit to codego7250/TensorRT-LLM that referenced this pull request Dec 22, 2025
…end (NVIDIA#9911)

Signed-off-by: Pengyun Lin <81065165+LinPoly@users.noreply.github.com>
@LinPoly
LinPoly deleted the pengyunl/serve_logprobs_test branch December 23, 2025 09:22
JunyiXu-nv pushed a commit to JunyiXu-nv/TensorRT-LLM that referenced this pull request Dec 30, 2025
…end (NVIDIA#9911)

Signed-off-by: Pengyun Lin <81065165+LinPoly@users.noreply.github.com>
videodanchik pushed a commit to videodanchik/TensorRT-LLM that referenced this pull request Jan 14, 2026
…end (NVIDIA#9911)

Signed-off-by: Pengyun Lin <81065165+LinPoly@users.noreply.github.com>
Signed-off-by: Daniil Kulko <kulkodaniil@gmail.com>
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3 participants