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[https://nvbugs/5689658][test] Fix gpu lock issue running on cluster #9441
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Signed-off-by: yufeiwu <230315618+yufeiwu-nv@users.noreply.github.com>
📝 WalkthroughWalkthroughThis PR introduces a new CLI flag Changes
Estimated code review effort🎯 2 (Simple) | ⏱️ ~8 minutes
Pre-merge checks and finishing touches❌ Failed checks (1 inconclusive)
✅ Passed checks (2 passed)
✨ Finishing touches
🧪 Generate unit tests (beta)
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Actionable comments posted: 1
🧹 Nitpick comments (1)
tests/integration/defs/perf/gpu_clock_lock.py (1)
212-214: Consider clarifying the warning message.The guard logic is correct, but the warning message "Clock locking is not enabled inside TRTLLM code" could be more descriptive. Consider:
- print_warning("Clock locking is not enabled inside TRTLLM code") + print_warning("GPU clock locking is disabled. Use --enable-gpu-clock-lock to enable.")This provides clearer guidance on how to enable the feature if needed.
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📒 Files selected for processing (2)
tests/integration/defs/conftest.py(2 hunks)tests/integration/defs/perf/gpu_clock_lock.py(5 hunks)
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📓 Path-based instructions (2)
**/*.py
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**/*.py: The code developed for TensorRT-LLM should conform to Python 3.8+
Indent Python code with 4 spaces; do not use tabs
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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
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Files:
tests/integration/defs/perf/gpu_clock_lock.pytests/integration/defs/conftest.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:
tests/integration/defs/perf/gpu_clock_lock.pytests/integration/defs/conftest.py
🧬 Code graph analysis (1)
tests/integration/defs/conftest.py (1)
tests/integration/defs/perf/gpu_clock_lock.py (1)
GPUClockLock(68-580)
🪛 Ruff (0.14.5)
tests/integration/defs/perf/gpu_clock_lock.py
277-278: Within an except clause, raise exceptions with raise ... from err or raise ... from None to distinguish them from errors in exception handling
(B904)
277-278: Avoid specifying long messages outside the exception class
(TRY003)
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- GitHub Check: Pre-commit Check
🔇 Additional comments (4)
tests/integration/defs/conftest.py (2)
670-670: LGTM! Clean integration of the new CLI flag.The code correctly reads the
--enable-gpu-clock-lockoption and passes it to theGPUClockLockconstructor, following the established pattern for other configuration options in this file.Also applies to: 674-674
2143-2149: LGTM! Well-defined CLI option.The
--enable-gpu-clock-lockoption is properly configured with:
- Appropriate
store_trueaction for a boolean flag- Sensible default (
False) making clock locking opt-in- Clear help text explaining the purpose
tests/integration/defs/perf/gpu_clock_lock.py (2)
70-70: LGTM! Backward-compatible parameter addition.The new
enable_clock_lockingparameter is properly implemented with:
- Default value
Falseensuring backward compatibility- Clear documentation in the docstring
- Appropriate storage as an instance variable
Also applies to: 78-78, 88-88
438-441: LGTM! Appropriate validation skip logic.The early exit when clock locking is disabled is logical and properly implemented:
- Correctly placed at the start of the validation method
- Provides clear informational message explaining why validation is skipped
- Maintains consistency with the overall feature design
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can you preserve the existing clock locking in CI by adding --enable-gpu-clock-lock to jenkins/L0_Test.groovy: |
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/bot run |
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PR_Github #25962 [ run ] triggered by Bot. Commit: |
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PR_Github #25962 [ run ] completed with state |
Summary by CodeRabbit
New Features
Improvements
✏️ Tip: You can customize this high-level summary in your review settings.
Description
Current gpu lock implementation can't run on rootless container.
Add param let user to choose or not choose the customized gpu_lock solution which contains clock yaml file. Many users have their own logic to control gpu clock and different clock numbers.
To let user choose different gpu_lock solution and clock number because other solution may prefer other frequency number setting outside TRTLLM environment.
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
Update tava architecture diagram if there is a significant design change in PR.
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Please check this after reviewing the above items as appropriate for this PR.
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