[None][infra] AutoDeploy: codeowners for autodeploy unit tests #7743
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Signed-off-by: Lucas Liebenwein <11156568+lucaslie@users.noreply.github.com>
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/bot skip --comment "no code changes, only updating code owners file" |
📝 WalkthroughWalkthroughAdds a CODEOWNERS rule for the path Changes
Estimated code review effort🎯 1 (Trivial) | ⏱️ ~2 minutes Pre-merge checks and finishing touches❌ Failed checks (1 warning)
✅ Passed checks (2 passed)
✨ Finishing touches🧪 Generate unit tests
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Actionable comments posted: 0
🧹 Nitpick comments (1)
.github/CODEOWNERS (1)
37-37: Optional: make directory intent explicit.If you want to be explicit that this targets the whole directory, consider a trailing slash or a glob:
/tests/unittest/_torch/auto_deploy//tests/unittest/_torch/auto_deploy/**Current style elsewhere often omits the slash, so keeping as-is is also consistent.
📜 Review details
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📒 Files selected for processing (1)
.github/CODEOWNERS(1 hunks)
🧰 Additional context used
🧠 Learnings (7)
📓 Common learnings
Learnt from: venkywonka
PR: NVIDIA/TensorRT-LLM#7658
File: .github/CODEOWNERS:160-164
Timestamp: 2025-09-09T18:31:44.336Z
Learning: The teams NVIDIA/trt-llm-release-nim-branch-approval and NVIDIA/trt-llm-release-branch-approval exist in the NVIDIA organization and are valid for use in .github/CODEOWNERS files, even if they may not be accessible via external API queries due to permissions.
📚 Learning: 2025-09-09T18:31:44.336Z
Learnt from: venkywonka
PR: NVIDIA/TensorRT-LLM#7658
File: .github/CODEOWNERS:160-164
Timestamp: 2025-09-09T18:31:44.336Z
Learning: The teams NVIDIA/trt-llm-release-nim-branch-approval and NVIDIA/trt-llm-release-branch-approval exist in the NVIDIA organization and are valid for use in .github/CODEOWNERS files, even if they may not be accessible via external API queries due to permissions.
Applied to files:
.github/CODEOWNERS
📚 Learning: 2025-07-28T17:06:08.621Z
Learnt from: moraxu
PR: NVIDIA/TensorRT-LLM#6303
File: tests/integration/test_lists/qa/examples_test_list.txt:494-494
Timestamp: 2025-07-28T17:06:08.621Z
Learning: In TensorRT-LLM testing, it's common to have both CLI flow tests (test_cli_flow.py) and PyTorch API tests (test_llm_api_pytorch.py) for the same model. These serve different purposes: CLI flow tests validate the traditional command-line workflow, while PyTorch API tests validate the newer LLM API backend. Both are legitimate and should coexist.
Applied to files:
.github/CODEOWNERS
📚 Learning: 2025-08-01T15:14:45.673Z
Learnt from: yibinl-nvidia
PR: NVIDIA/TensorRT-LLM#6506
File: examples/models/core/mixtral/requirements.txt:3-3
Timestamp: 2025-08-01T15:14:45.673Z
Learning: In TensorRT-LLM, examples directory can have different dependency versions than the root requirements.txt file. Version conflicts between root and examples dependencies are acceptable because examples are designed to be standalone and self-contained.
Applied to files:
.github/CODEOWNERS
📚 Learning: 2025-09-09T09:40:45.658Z
Learnt from: fredricz-20070104
PR: NVIDIA/TensorRT-LLM#7645
File: tests/integration/test_lists/qa/llm_function_core.txt:648-648
Timestamp: 2025-09-09T09:40:45.658Z
Learning: In TensorRT-LLM test lists, it's common and intentional for the same test to appear in multiple test list files when they serve different purposes (e.g., llm_function_core.txt for comprehensive core functionality testing and llm_function_core_sanity.txt for quick sanity checks). This duplication allows tests to be run in different testing contexts.
Applied to files:
.github/CODEOWNERS
📚 Learning: 2025-08-06T13:58:07.506Z
Learnt from: galagam
PR: NVIDIA/TensorRT-LLM#6487
File: tests/unittest/_torch/auto_deploy/unit/singlegpu/test_ad_trtllm_bench.py:1-12
Timestamp: 2025-08-06T13:58:07.506Z
Learning: In TensorRT-LLM, test files (files under tests/ directories) do not require NVIDIA copyright headers, unlike production source code files. Test files typically start directly with imports, docstrings, or code.
Applied to files:
.github/CODEOWNERS
📚 Learning: 2025-08-11T20:09:24.389Z
Learnt from: achartier
PR: NVIDIA/TensorRT-LLM#6763
File: tests/integration/defs/triton_server/conftest.py:16-22
Timestamp: 2025-08-11T20:09:24.389Z
Learning: In the TensorRT-LLM test infrastructure, the team prefers simple, direct solutions (like hard-coding directory traversal counts) over more complex but robust approaches when dealing with stable directory structures. They accept the maintenance cost of updating tests if the layout changes.
Applied to files:
.github/CODEOWNERS
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- GitHub Check: Pre-commit Check
🔇 Additional comments (2)
.github/CODEOWNERS (2)
37-37: LGTM: ownership added for AutoDeploy unit tests, aligned with code and examples.Matches the existing owners for
/tensorrt_llm/_torch/auto_deployand/examples/auto_deploy. No precedence conflicts visible with nearby rules.
37-37: Only tests/unittest/_torch/auto_deploy/ found — no other AutoDeploy test trees detected.Integration test lists reference that unittest path (tests/integration/test_lists/test-db/*); no standalone tests/integration/**/auto_deploy or e2e auto_deploy directories were found.
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PR_Github #18660 [ skip ] triggered by Bot |
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PR_Github #18660 [ skip ] completed with state |
suyoggupta
approved these changes
Sep 15, 2025
venkywonka
approved these changes
Sep 15, 2025
Wong4j
pushed a commit
to Wong4j/TensorRT-LLM
that referenced
this pull request
Sep 20, 2025
…A#7743) Signed-off-by: Lucas Liebenwein <11156568+lucaslie@users.noreply.github.com>
MrGeva
pushed a commit
to nv-auto-deploy/TensorRT-LLM
that referenced
this pull request
Sep 21, 2025
…A#7743) Signed-off-by: Lucas Liebenwein <11156568+lucaslie@users.noreply.github.com>
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Summary by CodeRabbit
Description
Test Coverage
PR Checklist
Please review the following before submitting your PR:
PR description clearly explains what and why. If using CodeRabbit's summary, please make sure it makes sense.
PR Follows TRT-LLM CODING GUIDELINES to the best of your knowledge.
Test cases are provided for new code paths (see test instructions)
Any new dependencies have been scanned for license and vulnerabilities
CODEOWNERS updated if ownership changes
Documentation updated as needed
The reviewers assigned automatically/manually are appropriate for the PR.
Please check this after reviewing the above items as appropriate for this PR.
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