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Execute tensor L2 norm with RowFn - #9768

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connortsui20 merged 1 commit into
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ct/row-fn-tensor-l2-v2
Sep 15, 2026
Merged

connortsui20 merged 1 commit into
developfrom
ct/row-fn-tensor-l2-v2

Execute tensor L2 norm with RowFn

b84f3f7
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CodSpeed / CodSpeed Performance Analysis failed Sep 14, 2026

Performance Regression: -5.14%

⚠️ Unknown Walltime execution environment detected

Using the Walltime instrument on standard Hosted Runners will lead to inconsistent data.

For the most accurate results, we recommend using CodSpeed Macro Runners: bare-metal machines fine-tuned for performance measurement consistency.

⚠️ Different runtime environments detected

Some benchmarks with significant performance changes were compared across different runtime environments,
which may affect the accuracy of the results.

Open the report in CodSpeed to investigate

⚡ 5 improved benchmarks
❌ 9 regressed benchmarks
✅ 2184 untouched benchmarks
⏩ 218 skipped benchmarks1

Warning

Please fix the performance issues or acknowledge them on CodSpeed.

Performance Changes

Mode Benchmark BASE HEAD Efficiency
Simulation column_x_extension_constant[32] 170.5 µs 234.5 µs -27.3%
Simulation column_x_extension_constant[256] 414.6 µs 563.8 µs -26.46%
Simulation random_i8[0.5] 71.5 µs 95.4 µs -24.98%
Simulation column_x_column[256] 88.9 µs 112.5 µs -20.97%
Simulation column_x_column[32] 94.4 µs 117.7 µs -19.78%
Simulation decompress[u64, (4000, 1024)] 71.9 µs 87.3 µs -17.58%
Simulation column_x_constant[256] 591.1 µs 711.5 µs -16.92%
Simulation column_x_constant[32] 392.9 µs 448.2 µs -12.34%
Simulation column_x_extension_constant[2] 247.8 µs 276.8 µs -10.48%
Simulation nullable[2] 632.3 µs 416.6 µs +51.8%
Simulation non_nullable[2] 631.2 µs 419.1 µs +50.59%
Simulation random_i16[0.95] 99 µs 81 µs +22.2%
Simulation allocate_drop_arrow[0] 456.9 ns 402.7 ns +13.45%
Simulation allocate_drop_bytes[0] 575.7 ns 521.6 ns +10.39%

Tip

Investigate this regression by commenting @codspeedbot fix this regression on this PR, or directly use the CodSpeed MCP with your agent.


Comparing ct/row-fn-tensor-l2-v2 (b84f3f7) with develop (7286721)

Open in CodSpeed

Footnotes

  1. 218 benchmarks were skipped, so the baseline results were used instead. If they were deleted from the codebase, click here and archive them to remove them from the performance reports.