Make normalized tensor shortcuts explicit - #9513
Performance Regression: -7.36%
⚠️ Unknown Walltime execution environment detected
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For the most accurate results, we recommend using CodSpeed Macro Runners: bare-metal machines fine-tuned for performance measurement consistency.
⚡ 2 improved benchmarks
❌ 3 regressed benchmarks
✅ 1951 untouched benchmarks
🆕 12 new benchmarks
⏩ 442 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[256] |
650.4 µs | 834 µs | -22.01% |
| ❌ | Simulation | column_x_extension_constant[2] |
290.9 µs | 355.4 µs | -18.16% |
| ❌ | Simulation | column_x_extension_constant[32] |
230 µs | 273 µs | -15.72% |
| ⚡ | WallTime | words_gather_scalar[65536] |
9.4 µs | 8.3 µs | +13.39% |
| ⚡ | Simulation | compress_fsst[(500, 64, 8)] |
585.9 µs | 523.7 µs | +11.88% |
| 🆕 | Simulation | normalized_assume[2] |
N/A | 159.3 µs | N/A |
| 🆕 | Simulation | normalized_assume[256] |
N/A | 84.2 µs | N/A |
| 🆕 | Simulation | normalized_assume[32] |
N/A | 88.2 µs | N/A |
| 🆕 | Simulation | normalized_exact[2] |
N/A | 261.7 µs | N/A |
| 🆕 | Simulation | normalized_exact[256] |
N/A | 113.7 µs | N/A |
| 🆕 | Simulation | normalized_exact[32] |
N/A | 120.4 µs | N/A |
| 🆕 | Simulation | normalized_assume[2] |
N/A | 36.6 µs | N/A |
| 🆕 | Simulation | normalized_assume[256] |
N/A | 25 µs | N/A |
| 🆕 | Simulation | normalized_assume[32] |
N/A | 25 µs | N/A |
| 🆕 | Simulation | normalized_exact[2] |
N/A | 847.6 µs | N/A |
| 🆕 | Simulation | normalized_exact[256] |
N/A | 232.8 µs | N/A |
| 🆕 | Simulation | normalized_exact[32] |
N/A | 267.8 µs | N/A |
Tip
Investigate this regression by commenting @codspeedbot fix this regression on this PR, or directly use the CodSpeed MCP with your agent.
Comparing ct/norm-compute-mode (76656f1) with develop (9876921)
Footnotes
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442 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. ↩