Add UnitVector tensor refinement - #9421
2 benchmarks regressed
⚠️ Unknown Walltime execution environment detected
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⚡ 6 improved benchmarks
❌ 2 regressed benchmarks
✅ 1992 untouched benchmarks
⏩ 89 skipped benchmarks1
Warning
Please fix the performance issues or acknowledge them on CodSpeed.
Performance Changes
| Mode | Benchmark | BASE |
HEAD |
Efficiency | |
|---|---|---|---|---|---|
| ❌ | WallTime | words_gather_scalar[65536] |
8.3 µs | 9.4 µs | -12.02% |
| ❌ | Simulation | take[small_m/shuffled/primitive/nonnull/chunks=16384/indices=16] |
1.1 ms | 1.2 ms | -11.37% |
| ⚡ | Simulation | encode_nullable[256] |
333.5 µs | 231.5 µs | +44.08% |
| ⚡ | Simulation | encode_nullable[2] |
1,109.2 µs | 770.4 µs | +43.98% |
| ⚡ | Simulation | encode_nullable[32] |
368.5 µs | 259.4 µs | +42.08% |
| ⚡ | Simulation | encode_non_nullable[2] |
866.5 µs | 686.6 µs | +26.21% |
| ⚡ | Simulation | encode_non_nullable[256] |
256.5 µs | 209.3 µs | +22.56% |
| ⚡ | Simulation | encode_non_nullable[32] |
304.8 µs | 252.9 µs | +20.51% |
Tip
Investigate this regression by commenting @codspeedbot fix this regression on this PR, or directly use the CodSpeed MCP with your agent.
Comparing ct/unit-vector (7a41686) with ct/extension-coerce-to (ec1dddb)
Footnotes
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89 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. ↩