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[None][fix] Several minor fixes to CI setting #9765
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/bot run --stage-list "DGX_B200-4_GPUs-PyTorch-Post-Merge-1, DGX_B200-4_GPUs-PyTorch-Post-Merge-2, DGX_B300-4_GPUs-PyTorch-Post-Merge-1, DGX_B300-4_GPUs-PyTorch-Post-Merge-2, GB200-4_GPUs-PyTorch-1, GB200-4_GPUs-PyTorch-2, GB200-8_GPUs-2_Nodes-PyTorch-1" --disable-fail-fast |
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Signed-off-by: Yanchao Lu <[email protected]>
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PR_Github #27194 [ run ] triggered by Bot. Commit: |
📝 WalkthroughWalkthroughThis pull request updates CI/CD test configuration and initialization scripts. It expands the GPU test matrix in Jenkins with multiple GPU variant entries, refactors SLURM process initialization to consolidate Git configuration, and simplifies Python dependency installation by removing a retry flag. Changes
Estimated code review effort🎯 2 (Simple) | ⏱️ ~10 minutes
Pre-merge checks and finishing touches❌ Failed checks (2 warnings)
✅ Passed checks (1 passed)
✨ Finishing touches
🧪 Generate unit tests (beta)
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Actionable comments posted: 1
🧹 Nitpick comments (2)
scripts/check_test_list.py (1)
25-28: Consider avoidingshell=Truefor thepip3 installto satisfy S602This call is safe in practice (since
llm_srccomes from the local path), but you can eliminate the Ruff S602 warning and avoid shell quirks by callingpip3without a shell and usingcwd:-def install_python_dependencies(llm_src): - subprocess.run(f"cd {llm_src} && pip3 install -r requirements-dev.txt", - shell=True, - check=True) +def install_python_dependencies(llm_src): + subprocess.run( + ["pip3", "install", "-r", "requirements-dev.txt"], + cwd=llm_src, + check=True, + )This keeps behavior the same while tightening the subprocess usage.
jenkins/L0_Test.groovy (1)
1636-1644: Dev requirements are now installed both here and insidecheck_test_list.py
launchTestListCheckrunspip3 install -r ${llmSrc}/requirements-dev.txtand thencheck_test_list.py, which still callsinstall_python_dependencies()when--l0/--qa/--waiveare passed, sorequirements-dev.txtgets installed twice in the CI path. That’s safe but adds a bit of overhead; if this stage is the only CI entry point, you could eventually add a flag or env switch to letcheck_test_list.pyskip its own dev‑requirements install when invoked from Jenkins.
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Review profile: CHILL
Plan: Pro
📒 Files selected for processing (3)
jenkins/L0_Test.groovy(3 hunks)jenkins/scripts/slurm_run.sh(1 hunks)scripts/check_test_list.py(1 hunks)
🧰 Additional context used
📓 Path-based instructions (2)
**/*.py
📄 CodeRabbit inference engine (CODING_GUIDELINES.md)
**/*.py: The code developed for TensorRT-LLM should conform to Python 3.8+
Indent Python code with 4 spaces; do not use tabs
Always maintain the namespace when importing in Python, even if only one class or function from a module is used (e.g., usefrom package.subpackage import fooand thenfoo.SomeClass()instead offrom package.subpackage.foo import SomeClass)
Python filenames should use snake_case (e.g.,some_file.py)
Python class names should use PascalCase (e.g.,class SomeClass)
Python function and method names should use snake_case (e.g.,def my_awesome_function():)
Python local variable names should use snake_case, with prefixkfor variable names that start with a number (e.g.,k_99th_percentile = ...)
Python global variables should use upper snake_case with prefixG(e.g.,G_MY_GLOBAL = ...)
Python constants should use upper snake_case (e.g.,MY_CONSTANT = ...)
Avoid shadowing variables declared in an outer scope in Python
Initialize all externally visible members of a Python class in the constructor
For Python interfaces that may be used outside a file, prefer docstrings over comments
Python comments should be reserved for code within a function, or interfaces that are local to a file
Use Google style docstrings for Python classes and functions, which can be parsed by Sphinx
Python attributes and variables can be documented inline with type and description (e.g.,self.x = 5followed by"""<type>: Description of 'x'""")
Avoid using reflection in Python when functionality can be easily achieved without reflection
When using try-except blocks in Python, limit the except clause to the smallest set of specific errors possible instead of catching all exceptions
When using try-except blocks in Python to handle multiple possible variable types (duck-typing), keep the body of the try as small as possible and use the else block to implement the logic
Files:
scripts/check_test_list.py
**/*.{cpp,h,cu,py}
📄 CodeRabbit inference engine (CODING_GUIDELINES.md)
All TensorRT-LLM Open Source Software code files should contain an NVIDIA copyright header that includes the current year at the top
Files:
scripts/check_test_list.py
🧠 Learnings (9)
📓 Common learnings
Learnt from: venkywonka
Repo: NVIDIA/TensorRT-LLM PR: 6029
File: .github/pull_request_template.md:45-53
Timestamp: 2025-08-27T17:50:13.264Z
Learning: For PR templates in TensorRT-LLM, avoid suggesting changes that would increase developer overhead, such as converting plain bullets to mandatory checkboxes. The team prefers guidance-style bullets that don't require explicit interaction to reduce friction in the PR creation process.
📚 Learning: 2025-08-18T09:08:07.687Z
Learnt from: tongyuantongyu
Repo: NVIDIA/TensorRT-LLM PR: 6984
File: cpp/tensorrt_llm/CMakeLists.txt:297-299
Timestamp: 2025-08-18T09:08:07.687Z
Learning: In the TensorRT-LLM project, artifacts are manually copied rather than installed via `cmake --install`, so INSTALL_RPATH properties are not needed - only BUILD_RPATH affects the final artifacts.
Applied to files:
jenkins/scripts/slurm_run.shjenkins/L0_Test.groovy
📚 Learning: 2025-08-01T15:14:45.673Z
Learnt from: yibinl-nvidia
Repo: NVIDIA/TensorRT-LLM PR: 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:
jenkins/scripts/slurm_run.shjenkins/L0_Test.groovy
📚 Learning: 2025-09-09T09:40:45.658Z
Learnt from: fredricz-20070104
Repo: NVIDIA/TensorRT-LLM PR: 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:
jenkins/L0_Test.groovy
📚 Learning: 2025-08-26T09:49:04.956Z
Learnt from: pengbowang-nv
Repo: NVIDIA/TensorRT-LLM PR: 7192
File: tests/integration/test_lists/test-db/l0_dgx_b200.yml:56-72
Timestamp: 2025-08-26T09:49:04.956Z
Learning: In TensorRT-LLM test configuration files, the test scheduling system handles wildcard matching with special rules that prevent duplicate test execution even when the same tests appear in multiple yaml files with overlapping GPU wildcards (e.g., "*b200*" and "*gb200*").
Applied to files:
jenkins/L0_Test.groovy
📚 Learning: 2025-08-11T20:09:24.389Z
Learnt from: achartier
Repo: NVIDIA/TensorRT-LLM PR: 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:
jenkins/L0_Test.groovy
📚 Learning: 2025-08-06T13:58:07.506Z
Learnt from: galagam
Repo: NVIDIA/TensorRT-LLM PR: 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:
jenkins/L0_Test.groovy
📚 Learning: 2025-09-17T02:48:52.732Z
Learnt from: tongyuantongyu
Repo: NVIDIA/TensorRT-LLM PR: 7781
File: tests/integration/test_lists/waives.txt:313-313
Timestamp: 2025-09-17T02:48:52.732Z
Learning: In TensorRT-LLM, `tests/integration/test_lists/waives.txt` is specifically for waiving/skipping tests, while other test list files like those in `test-db/` and `qa/` directories are for different test execution contexts (pre-merge, post-merge, QA tests). The same test appearing in both waives.txt and execution list files is intentional - the test is part of test suites but will be skipped due to the waiver.
Applied to files:
jenkins/L0_Test.groovy
📚 Learning: 2025-07-28T17:06:08.621Z
Learnt from: moraxu
Repo: NVIDIA/TensorRT-LLM PR: 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:
jenkins/L0_Test.groovy
🪛 Ruff (0.14.7)
scripts/check_test_list.py
26-26: subprocess call with shell=True identified, security issue
(S602)
🪛 Shellcheck (0.11.0)
jenkins/scripts/slurm_run.sh
[warning] 35-35: jobWorkspace is referenced but not assigned.
(SC2154)
⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (1)
- GitHub Check: Pre-commit Check
🔇 Additional comments (2)
jenkins/scripts/slurm_run.sh (1)
32-40: Centralizing job ID write andgitsafe.directory onSLURM_PROCID==0looks correctThis block cleanly ensures only rank‑0 saves
slurm_job_id.txtand addssafe.directory "*", and the guard avoids duplicategit configentries. The Shellcheck SC2154 warning onjobWorkspacecan be ignored here since it’s exported by the sbatch launcher script beforeslurm_run.shruns.jenkins/L0_Test.groovy (1)
2939-2945: New GB200 1/2‑split SBSA configs look consistentThe added
"GB200-4_GPUs-PyTorch-1"/"GB200-4_GPUs-PyTorch-2"entries correctly targetgb200-x4-ociwithl0_gb200_multi_gpus, use 4 GPUs, and align with existing stage naming (so they’ll be picked up by the multi‑GPU filtering logic). No issues from the Jenkins/Groovy side.
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/bot run --stage-list "DGX_B200-4_GPUs-PyTorch-Post-Merge-1, DGX_B200-4_GPUs-PyTorch-Post-Merge-2, DGX_B300-4_GPUs-PyTorch-Post-Merge-1, DGX_B300-4_GPUs-PyTorch-Post-Merge-2, GB200-4_GPUs-PyTorch-1, GB200-4_GPUs-PyTorch-2, GB200-8_GPUs-2_Nodes-PyTorch-1" --disable-fail-fast |
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PR_Github #27195 [ run ] triggered by Bot. Commit: |
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PR_Github #27194 [ run ] completed with state |
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/bot run --stage-list "DGX_B200-4_GPUs-PyTorch-Post-Merge-1, DGX_B200-4_GPUs-PyTorch-Post-Merge-2, DGX_B300-4_GPUs-PyTorch-Post-Merge-1, DGX_B300-4_GPUs-PyTorch-Post-Merge-2, GB200-4_GPUs-PyTorch-1, GB200-4_GPUs-PyTorch-2, GB200-8_GPUs-2_Nodes-PyTorch-1" --disable-fail-fast |
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PR_Github #27213 [ run ] triggered by Bot. Commit: |
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PR_Github #27195 [ run ] completed with state |
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PR_Github #27213 [ run ] completed with state |
Summary by CodeRabbit
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Description
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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
Update tava architecture diagram if there is a significant design change in PR.
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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