[TRTLLM-5500][infra] Update CODEOWNERS with new ownership rules for additional paths #6564
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🧹 Nitpick comments (2)
.github/CODEOWNERS (2)
28-30: Remove duplicatemodeling_nemotron_nas.pyentry.The same file is listed twice (Lines 28 and 30) with identical owner groups. Duplicate rules add noise and can confuse reviewers about precedence.
-/tensorrt_llm/_torch/models/modeling_nemotron_nas.py @NVIDIA/trt-llm-torch-models-nemotron-devs @NVIDIA/trt-llm-torch-models-devs
32-32: Add a trailing slash to target the wholemambadirectory.Without the trailing slash GitHub treats the pattern as “a file or directory named mamba”, which does not automatically include its nested contents. If the intention is to own everything under that folder, append
/.-/tensorrt_llm/_torch/modules/mamba @NVIDIA/trt-llm-torch-models-nemotron-devs @NVIDIA/trt-llm-torch-models-devs +/tensorrt_llm/_torch/modules/mamba/ @NVIDIA/trt-llm-torch-models-nemotron-devs @NVIDIA/trt-llm-torch-models-devs
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🧠 Learnings (8)
📓 Common learnings
Learnt from: CR
PR: NVIDIA/TensorRT-LLM#0
File: CODING_GUIDELINES.md:0-0
Timestamp: 2025-08-01T07:34:42.734Z
Learning: Applies to **/*.{cpp,h,hpp,cc,cxx,cu,py} : All TensorRT-LLM Open Source Software code should contain an NVIDIA copyright header that includes the current year. This includes .cpp, .h, .cu, .py, and any other source files which are compiled or interpreted.
Learnt from: CR
PR: NVIDIA/TensorRT-LLM#0
File: CODING_GUIDELINES.md:0-0
Timestamp: 2025-08-01T07:34:42.734Z
Learning: Applies to **/*.py : The code developed for TensorRT-LLM should conform to Python 3.8+.
📚 Learning: applies to **/*.{cpp,h,hpp,cc,cxx,cu,py} : all tensorrt-llm open source software code should contain...
Learnt from: CR
PR: NVIDIA/TensorRT-LLM#0
File: CODING_GUIDELINES.md:0-0
Timestamp: 2025-08-01T07:34:42.734Z
Learning: Applies to **/*.{cpp,h,hpp,cc,cxx,cu,py} : All TensorRT-LLM Open Source Software code should contain an NVIDIA copyright header that includes the current year. This includes .cpp, .h, .cu, .py, and any other source files which are compiled or interpreted.
Applied to files:
.github/CODEOWNERS
📚 Learning: applies to **/*.py : the code developed for tensorrt-llm should conform to python 3.8+....
Learnt from: CR
PR: NVIDIA/TensorRT-LLM#0
File: CODING_GUIDELINES.md:0-0
Timestamp: 2025-08-01T07:34:42.734Z
Learning: Applies to **/*.py : The code developed for TensorRT-LLM should conform to Python 3.8+.
Applied to files:
.github/CODEOWNERS
📚 Learning: in tensorrt-llm testing, it's common to have both cli flow tests (test_cli_flow.py) and pytorch api ...
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: in tensorrt-llm, examples directory can have different dependency versions than the root requirement...
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: in tensorrt-llm's multimodal processing pipeline, shared tensor recovery using `from_shared_tensor()...
Learnt from: yechank-nvidia
PR: NVIDIA/TensorRT-LLM#6254
File: tensorrt_llm/_torch/pyexecutor/model_engine.py:1201-1204
Timestamp: 2025-07-22T09:22:14.726Z
Learning: In TensorRT-LLM's multimodal processing pipeline, shared tensor recovery using `from_shared_tensor()` is only needed during the context phase. Generation requests reuse the already-recovered tensor data and only need to call `strip_for_generation()` to remove unnecessary multimodal data while preserving the recovered tensors. This avoids redundant tensor recovery operations during generation.
Applied to files:
.github/CODEOWNERS
📚 Learning: in the tensorrt-llm waive list merging system, removed lines are always located at the end of the me...
Learnt from: yiqingy0
PR: NVIDIA/TensorRT-LLM#5198
File: jenkins/mergeWaiveList.py:0-0
Timestamp: 2025-07-22T08:33:49.109Z
Learning: In the TensorRT-LLM waive list merging system, removed lines are always located at the end of the merge waive lists, which is why the mergeWaiveList.py script uses reverse traversal - it's an optimization for this specific domain constraint.
Applied to files:
.github/CODEOWNERS
📚 Learning: in tensorrt_llm/executor/worker.py, the lora adapter cache optimization logic that checks `is_adapte...
Learnt from: amitz-nv
PR: NVIDIA/TensorRT-LLM#5616
File: tensorrt_llm/executor/worker.py:375-384
Timestamp: 2025-07-17T09:01:27.402Z
Learning: In tensorrt_llm/executor/worker.py, the LoRA adapter cache optimization logic that checks `is_adapter_in_cpu_cache()` and conditionally passes None for weights/config has a known race condition issue that cannot be solved with simple error handling or verification checks. This is a known limitation that requires a more comprehensive solution.
Applied to files:
.github/CODEOWNERS
🔇 Additional comments (2)
.github/CODEOWNERS (2)
31-31: Confirm owner-override is intentional.
/tensorrt_llm/_torch/pyexecutor/resource_manager.py(Line 31) overrides the broader/tensorrt_llm/_torch/pyexecutorrule on Line 12 because later patterns win. Verify that you want the Nemotron owners + runtime devs to review this specific file instead of the general torch-runtime team only.
48-61: Check precedence side-effects for disaggregated PyExecutor files.Lines 50-51 add file-specific owners inside
/tensorrt_llm/_torch/pyexecutor, which again override the generic Line 12 rule. Make sure this split ownership (runtime vs. disaggregated) is what you intend; otherwise reviewers may be missed.
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Signed-off-by: Venky Ganesh <23023424+venkywonka@users.noreply.github.com>
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…dditional paths (NVIDIA#6564) Signed-off-by: Venky Ganesh <23023424+venkywonka@users.noreply.github.com> Signed-off-by: Lanyu Liao <lancelly@users.noreply.github.com>
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…dditional paths (NVIDIA#6564) Signed-off-by: Venky Ganesh <23023424+venkywonka@users.noreply.github.com>
This was referenced Aug 8, 2025
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