chore: test CUDA Arrow Device capsule exports#8624
Conversation
Signed-off-by: Alexander Droste <alexander.droste@protonmail.com>
Merging this PR will not alter performance
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| Mode | Benchmark | BASE |
HEAD |
Efficiency | |
|---|---|---|---|---|---|
| ❌ | Simulation | chunked_varbinview_into_canonical[(1000, 10)] |
169 µs | 205.6 µs | -17.79% |
| ⚡ | Simulation | chunked_varbinview_canonical_into[(100, 100)] |
259.4 µs | 224.3 µs | +15.65% |
| ⚡ | Simulation | chunked_varbinview_into_canonical[(100, 100)] |
306.7 µs | 271.4 µs | +13% |
| ⚡ | Simulation | eq_i64_constant |
319.3 µs | 289.4 µs | +10.32% |
Tip
Investigate this regression by commenting @codspeedbot fix this regression on this PR, or directly use the CodSpeed MCP with your agent.
Comparing ad/pycudf4 (8ebaae5) with develop (79c6b0f)
Footnotes
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4 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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