feat[gpu]: dict take values prim #6101
+1,049
−44
Merged
CodSpeed HQ / CodSpeed Performance Analysis
failed
Jan 23, 2026
Performance Regression: -29.75%
⚠️ 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.
⚡ 2 improved benchmarks
❌ 7 regressed benchmarks
✅ 1249 untouched benchmarks
🆕 4 new benchmarks
⏩ 1290 skipped benchmarks1
⚠️ Please fix the performance issues or acknowledge them on CodSpeed.
Performance Changes
| Mode | Benchmark | BASE |
HEAD |
Efficiency | |
|---|---|---|---|---|---|
| 🆕 | WallTime | u32_values_u8_codes[10M] |
N/A | 128.1 µs | N/A |
| 🆕 | WallTime | u32_values_u16_codes[10M] |
N/A | 144.6 µs | N/A |
| 🆕 | WallTime | u64_values_u32_codes[10M] |
N/A | 274.9 µs | N/A |
| 🆕 | WallTime | u64_values_u8_codes[10M] |
N/A | 213.7 µs | N/A |
| ❌ | Simulation | into_canonical_non_nullable[(10000, 100, 0.1)] |
3.8 ms | 4.6 ms | -17.7% |
| ❌ | Simulation | into_canonical_non_nullable[(10000, 100, 0.01)] |
2.2 ms | 3 ms | -27.05% |
| ❌ | Simulation | into_canonical_non_nullable[(10000, 100, 0.0)] |
1.9 ms | 2.7 ms | -29.42% |
| ❌ | Simulation | into_canonical_nullable[(10000, 100, 0.0)] |
4.4 ms | 5.2 ms | -15.62% |
| ❌ | Simulation | canonical_into_non_nullable[(10000, 100, 0.0)] |
1.9 ms | 2.7 ms | -29.75% |
| ❌ | Simulation | canonical_into_non_nullable[(10000, 100, 0.01)] |
2.1 ms | 2.9 ms | -27.39% |
| ⚡ | Simulation | canonical_into_nullable[(10000, 10, 0.0)] |
528.5 µs | 444.1 µs | +19.03% |
| ⚡ | Simulation | canonical_into_nullable[(10000, 100, 0.0)] |
4.9 ms | 4.1 ms | +19.79% |
| ❌ | Simulation | canonical_into_non_nullable[(10000, 100, 0.1)] |
3.7 ms | 4.5 ms | -18.15% |
Comparing ji/dict-array-2 (0c69415) with develop (46708ba)
Footnotes
-
1290 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. ↩
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