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[https://nvbugs/5503138] [fix] Remove compile warnings #8167
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Signed-off-by: Xiwen Yu <[email protected]>
/bot run |
📝 WalkthroughWalkthroughIntroduces CUDA architecture guards for internal helpers, simplifies CUDA driver entrypoint selection to a single API, suppresses a specific NVCC diagnostic and removes unused pointer aliases, and reorders includes in a kernel runner source file. No public interfaces or control flow are changed. 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: 0
🧹 Nitpick comments (1)
cpp/tensorrt_llm/kernels/trtllmGenKernels/gemm/KernelRunner.cpp (1)
19-23
: LGTM! Include reordering resolves warnings.The reordering of these includes before
KernelRunner.h
likely fixes include-order or forward-declaration warnings.Optional: Per coding guidelines,
clang-format off/on
should be used sparingly with justification. Consider adding a brief comment explaining why these includes must precedeKernelRunner.h
:// clang-format off +// These headers must be included before KernelRunner.h to avoid forward-declaration warnings #include "trtllmGen_gemm_export/GemmInterface.h"
As per coding guidelines.
📜 Review details
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Review profile: CHILL
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📒 Files selected for processing (4)
cpp/tensorrt_llm/kernels/communicationKernels/mnnvlTwoShotAllreduceKernels.cu
(2 hunks)cpp/tensorrt_llm/kernels/cutlass_kernels/fp8_blockscale_gemm/fp8_blockscale_tma_utils.cuh
(0 hunks)cpp/tensorrt_llm/kernels/recoverFromRingAtten.cu
(1 hunks)cpp/tensorrt_llm/kernels/trtllmGenKernels/gemm/KernelRunner.cpp
(1 hunks)
💤 Files with no reviewable changes (1)
- cpp/tensorrt_llm/kernels/cutlass_kernels/fp8_blockscale_gemm/fp8_blockscale_tma_utils.cuh
🧰 Additional context used
📓 Path-based instructions (5)
**/*.{h,hpp,hh,hxx,cpp,cxx,cc,cu,cuh}
📄 CodeRabbit inference engine (CODING_GUIDELINES.md)
**/*.{h,hpp,hh,hxx,cpp,cxx,cc,cu,cuh}
: Namespace closing braces must include a trailing comment with the namespace name (e.g., '} // namespace foo').
Prefer const or constexpr variables over #define for constants.
Declare variables that are not modified after initialization as const.
Avoid magic literals in code; except for 0, nullptr, true, false. Use named constants for comparisons and logic.
Use Allman brace style for formatting.
Place the semicolon of an empty for/while loop on a new line.
Bodies of switch/while/do-while/for must be compound statements (brace-delimited), and if/else must always be followed by brace-delimited statements.
Type names (e.g., classes) must be CamelCase starting with an uppercase letter (e.g., FooBar).
Local variables, methods, and namespaces use lowerCamelCase (e.g., localFooBar).
Non-magic-number global variables that are non-static and not in an anonymous namespace must be lowerCamelCase prefixed with 'g' (e.g., gDontUseGlobalFoos).
Non-magic-number globals that are static or in an anonymous namespace use lowerCamelCase prefixed with 's' (e.g., sMutableStaticGlobal).
Locally visible static variables use lowerCamelCase with 's' prefix (e.g., static std::once_flag sFlag).
Private/protected member variables use 'm' prefix with CamelCase (e.g., mNbFooValues). Public members may omit, but 'm' is encouraged for clarity.
Constants (enums, global constants, static constants, and function-scope magic/literal constants) use uppercase SNAKE_CASE with 'k' prefix (e.g., kDIGIT_NUM).
Function-scope constants that are not magic numbers or literals are named like non-constant variables (e.g., bool const pass = a && b).
If macros are necessary, name them in UPPER_SNAKE_CASE (e.g., FOO_VERSION) and prefer constants over #define.
Use LLVM clang-format; wrap lines at a maximum of 120 columns; use '// clang-format off/on' sparingly with justification.
Use smart pointers for heap allocations; prefer unique_ptr for sole ownership, shared_ptr for shared...
Files:
cpp/tensorrt_llm/kernels/recoverFromRingAtten.cu
cpp/tensorrt_llm/kernels/trtllmGenKernels/gemm/KernelRunner.cpp
cpp/tensorrt_llm/kernels/communicationKernels/mnnvlTwoShotAllreduceKernels.cu
**/*.{cpp,cxx,cc,cu,h,hpp,hh,hxx,cuh}
📄 CodeRabbit inference engine (CODING_GUIDELINES.md)
C++ filenames should be lowerCamelCase (first letter lowercase) and must be case-insensitive unique within a compilation target.
Files:
cpp/tensorrt_llm/kernels/recoverFromRingAtten.cu
cpp/tensorrt_llm/kernels/trtllmGenKernels/gemm/KernelRunner.cpp
cpp/tensorrt_llm/kernels/communicationKernels/mnnvlTwoShotAllreduceKernels.cu
**/*.{h,hpp,hh,hxx,cpp,cxx,cc,cu,cuh,py}
📄 CodeRabbit inference engine (CODING_GUIDELINES.md)
Use only spaces, no tabs; indent with 4 spaces.
Files:
cpp/tensorrt_llm/kernels/recoverFromRingAtten.cu
cpp/tensorrt_llm/kernels/trtllmGenKernels/gemm/KernelRunner.cpp
cpp/tensorrt_llm/kernels/communicationKernels/mnnvlTwoShotAllreduceKernels.cu
**/*.{cpp,cxx,cc,h,hpp,hh,hxx,cu,cuh,py}
📄 CodeRabbit inference engine (CODING_GUIDELINES.md)
Prepend the NVIDIA Apache-2.0 copyright header with current year to the top of all source files (e.g., .cpp, .h, .cu, .py).
Files:
cpp/tensorrt_llm/kernels/recoverFromRingAtten.cu
cpp/tensorrt_llm/kernels/trtllmGenKernels/gemm/KernelRunner.cpp
cpp/tensorrt_llm/kernels/communicationKernels/mnnvlTwoShotAllreduceKernels.cu
**/*.{h,hpp,hh,hxx,cpp,cxx,cc}
📄 CodeRabbit inference engine (CODING_GUIDELINES.md)
**/*.{h,hpp,hh,hxx,cpp,cxx,cc}
: Prefer anonymous namespaces over 'static' for internal linkage of functions.
All templates (class/function/member/static) must be instantiated at least once; non-POD classes should have private data members.
Files:
cpp/tensorrt_llm/kernels/trtllmGenKernels/gemm/KernelRunner.cpp
🧠 Learnings (1)
📚 Learning: 2025-09-23T15:01:00.070Z
Learnt from: nv-lschneider
PR: NVIDIA/TensorRT-LLM#7910
File: cpp/tensorrt_llm/kernels/nccl_device/config.cu:15-17
Timestamp: 2025-09-23T15:01:00.070Z
Learning: In TensorRT-LLM NCCL device kernels, the <sstream> header is not needed as an explicit include in config.cu because it's provided transitively through other headers. Local compilation testing confirms this works without the explicit include.
Applied to files:
cpp/tensorrt_llm/kernels/communicationKernels/mnnvlTwoShotAllreduceKernels.cu
⏰ 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)
cpp/tensorrt_llm/kernels/recoverFromRingAtten.cu (1)
56-59
: LGTM! Appropriate diagnostic suppression.The NVCC pragma correctly suppresses the
static_var_with_dynamic_init
warning for thecuda::barrier
static initialization. The#ifdef __NVCC_DIAG_PRAGMA_SUPPORT__
guard ensures compatibility, and the CCCL documentation reference is helpful.cpp/tensorrt_llm/kernels/communicationKernels/mnnvlTwoShotAllreduceKernels.cu (1)
399-430
: LGTM! Architecture guards correctly prevent unused-function warnings.The CUDA architecture guards (SM 900+) around
block_reduce_sum
andloadfloat4
are correctly scoped. These functions are only called within theRMSNorm
kernel at lines 510 and 593, which is itself guarded for SM 900+ at line 438. This prevents unused-function warnings when compiling for older architectures.
PR_Github #20703 [ run ] triggered by Bot |
PR_Github #20703 [ run ] completed with state |
Summary by CodeRabbit
New Features
Bug Fixes
Refactor
Chores
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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