[https://nvbugs/5655885][fix] fix invalid instruction error in 2shot ar kernel on Ampere
https://github.com/NVIDIA/TensorRT-LLM/issues/9086 .acquire and .release qualifiers for fence instruction require sm_90 or higher
Summary by CodeRabbit
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Performance
- Enhanced barrier synchronization efficiency for newer GPU architectures
- Maintained backward compatibility with older GPU models
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๐ Walkthrough
Walkthrough
Enhances barrier synchronization in Barrier::sync by introducing arch-specific memory operations for CUDA compute capability 9.0 and newer, replacing previous store operations with inline-assembly st.global.relaxed.sys and adding fence.release.sys while preserving legacy code path for older architectures.
Changes
| Cohort / File(s) | Change Summary |
|---|---|
Barrier synchronization optimization cpp/tensorrt_llm/kernels/communicationKernels/allReduceFusionKernels.cu |
Added architecture-specific conditional compilation for CUDA >= 9.0 to use inline-assembly store (st.global.relaxed.sys) and release fence instead of previous st_flag path. Legacy code path retained for older architectures. ABA-avoidance loop now arch-gated. |
Estimated code review effort
๐ฏ 3 (Moderate) | โฑ๏ธ ~20โ30 minutes
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Inline assembly correctness: Verify
st.global.relaxed.syssyntax and memory ordering semantics match CUDA PTX documentation -
Architecture checks: Confirm
__CUDA_ARCH__conditional logic correctly routes older vs. newer paths -
Memory fence semantics: Validate that
fence.release.sysprovides required synchronization for newer architectures -
Backward compatibility: Ensure legacy
st_flagpath remains functional for compute capabilities < 9.0
Pre-merge checks and finishing touches
โ Failed checks (2 warnings)
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โ Passed checks (1 passed)
| Check name | Status | Explanation |
|---|---|---|
| Title check | โ Passed | The title follows the required format with ticket ID and type, and clearly identifies the fix for an invalid instruction error in the 2shot AR kernel on Ampere architecture. |
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unittest/_torch/modules/tests_lora_modules/test_lora_attention_pytorch_flow_vs_trt.py::TestLoraAttentionPytorchFlowVsTRT::test_lora_attention SKIP (https://nvbugs/5701421)
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