UPSTREAM PR #18811: sampling : remove sampling branching in output_reserve#907
UPSTREAM PR #18811: sampling : remove sampling branching in output_reserve#907loci-dev wants to merge 1 commit into
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Explore the complete analysis inside the Version Insights Performance Review ReportSummaryNegligible performance impact from commit 728b00a. The single commit modified sampling buffer allocation logic, resulting in minor timing variations in C++ STL functions (183-222ns changes) with no meaningful impact on inference performance. Power consumption decreased by 0.012% in libllama.so. Commit ContextSingle commit: 728b00a by Daniel Bevenius - "sampling: remove sampling branching in output_reserve" The commit simplified conditional buffer allocation logic in Performance AnalysisChanged FunctionsAll 10 functions with the largest metric changes are C++ standard library (STL) template instantiations, not llama.cpp application code: Improvements (compiler optimizations):
Regressions (compiler code generation changes):
Root CauseThe performance variations stem from compiler code generation differences in STL template instantiations, not from the source code change itself. The commit modified buffer allocation patterns, which affected compiler optimization decisions for inlined STL functions. CFG analyses show structural changes (additional basic blocks, branch reorganization) in the generated assembly code. Critical Path ImpactNone of the affected functions are in the inference hot path. All execute during:
The absolute timing changes (46-222ns) are insignificant compared to typical inference operations (milliseconds) and tensor computations (microseconds). Power Consumptionlibllama.so shows 0.012% power consumption decrease (240,539 → 240,510 nanojoules), indicating neutral to slightly positive energy efficiency. All other binaries show zero change. ConclusionThe commit successfully simplified sampling logic without performance degradation. STL function timing variations are compiler artifacts with no practical impact on llama.cpp's core inference performance. |
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This commit updates output_reserve in llama-context.cpp to always allocate sampling buffers regardless of whether sampling is needed for the current batch. The motivation for this is to avoid reallocations and branching based on the sampling requirements of the batch.
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Explore the complete analysis inside the Version Insights Now I have all the necessary information. Let me create a comprehensive performance review report: Performance Review ReportCommit: 9d9be8b by Daniel Bevenius Performance Impact: NegligibleThis commit removes conditional branching in sampling buffer allocation logic, resulting in minimal performance impact. Only 5 standard library functions show measurable changes, all under 100 nanoseconds in absolute terms. Analysis SummaryThe observed performance differences stem from compiler code generation variations in STL template instantiations rather than the source code modifications themselves. All affected functions are compiler-generated standard library code with no direct source changes. Key Findings:
Power ConsumptionThe libllama.so binary shows a 0.016% increase in estimated power consumption (240,794→240,832 nanojoules), which is effectively unmeasurable and within noise margins. All other binaries show zero change. ContextNone of the affected functions are in performance-critical inference paths. The changes reflect compiler optimization decisions (instruction scheduling, basic block organization, register allocation) rather than algorithmic regressions. The commit's intent to simplify branching logic in |
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Mirrored from ggml-org/llama.cpp#18811
This commit updates output_reserve in llama-context.cpp to always allocate sampling buffers regardless of whether sampling is needed for the current batch.
The motivation for this is to avoid reallocations and branching based on the sampling requirements of the batch.