Add polynomials example
#397Comparing
polynomials
(81546cc
) withmain
(a19aa86
)-52%
- Regression
- 4
- Untouched
- 8
- Skipped
- 2
No successful run was found on main ( 27f70d1) during the generation of this report, so a19aa86 was used instead as the comparison base. There might be some changes unrelated to this pull request in this report.
Benchmarks
14 total
test_jit[lda]
python/tests/test_array_api.py-52%
13.8 s28.9 s
test_jit[lda]
python/tests/test_array_api.py-51%
18.6 s37.9 s
test_jit[add]
python/tests/test_array_api.py-18%
634.1 ms777.9 ms
test_jit[add]
python/tests/test_array_api.py-14%
536.2 ms625.5 ms
test_run_lda[array_api-optimized-numba]
python/tests/test_array_api.py0%
233.2 µs234.2 µs
test_run_lda[array_api-optimized]
python/tests/test_array_api.py-1%
885 µs894.8 µs
test_run_lda[array_api-optimized]
python/tests/test_array_api.py-1%
885.9 µs898.9 µs
test_run_lda[base]
python/tests/test_array_api.py-3%
2.1 ms2.2 ms
test_run_lda[array_api]
python/tests/test_array_api.py-4%
3.4 ms3.5 ms
test_run_lda[array_api]
python/tests/test_array_api.py-4%
4.2 ms4.3 ms
test_run_lda[base]
python/tests/test_array_api.py-4%
2.4 ms2.5 ms
test_run_lda[array_api-optimized-numba]
python/tests/test_array_api.py-6%
113.7 µs121.2 µs
The benchmarks below were skipped, so their baseline results are used instead. If they were deleted in your codebase, archive them to remove them from the performance reports.
Learn more about archiving benchmarks
Learn more about archiving benchmarks
test_jit[tuple]
python/tests/test_array_api.pySkipped
872.8 ms*
test_jit[tuple]
python/tests/test_array_api.pySkipped
1 s*
Commits
Click on a commit to change the comparison rangeBase
main
a19aa86
-50.87%
Keep benchmark uv env on Python 3.12
ee5ab91
3 days ago
by saulshanabrook-1.58%
Cap CodSpeed walltime benchmark rounds
81546cc
3 days ago
by saulshanabrook