test: working on benchmarks with `Finch` as backend
#772Comparing
DeaMariaLeon:bench2
(f822c24
) withmain
(47b246b
)0%
- Untouched
- 27
- New
- 313
- Dropped
- 313
Benchmarks
Failed
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=50-q=50-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=50-q=50-ndarray]N/A
9.3 msN/A
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=50-q=10-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=50-q=10-COO]N/A
5.3 msN/A
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=50-q=10-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=50-q=10-ndarray]N/A
2.2 msN/A
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=20-q=50-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=20-q=50-COO]N/A
3 msN/A
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=20-q=10-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=20-q=10-COO]N/A
2.7 msN/A
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=50-q=50-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=50-q=50-COO]N/A
17.5 msN/A
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=20-q=10-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=20-q=10-COO]N/A
3.5 msN/A
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=20-q=50-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=20-q=50-COO]N/A
8.2 msN/A
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=20-q=50-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=20-q=50-ndarray]N/A
4.5 msN/A
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=50-q=10-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=50-q=10-ndarray]N/A
3 msN/A
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=50-q=50-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=50-q=50-COO]N/A
10.9 msN/A
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=50-q=50-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=50-q=50-COO]N/A
11.6 msN/A
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=20-q=10-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=20-q=10-ndarray]N/A
2.5 msN/A
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=20-q=50-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=20-q=50-ndarray]N/A
2.8 msN/A
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=50-q=50-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=50-q=50-COO]N/A
6.9 msN/A
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=50-q=10-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=50-q=10-COO]N/A
3.7 msN/A
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=50-q=10-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=50-q=10-COO]N/A
4 msN/A
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=20-q=50-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=20-q=50-ndarray]N/A
2.1 msN/A
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=20-q=50-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=20-q=50-COO]N/A
4.1 msN/A
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=20-q=10-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=20-q=10-ndarray]N/A
2 msN/A
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=20-q=50-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=20-q=50-COO]N/A
5.7 msN/A
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=50-q=50-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=50-q=50-ndarray]N/A
5.3 msN/A
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=20-q=10-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=20-q=10-ndarray]N/A
2.1 msN/A
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=20-q=10-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=20-q=10-COO]N/A
2.5 msN/A
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=20-q=10-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=20-q=10-COO]N/A
2.9 msN/A
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=20-q=50-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=20-q=50-ndarray]N/A
3 msN/A
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=20-q=10-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=20-q=10-ndarray]N/A
1.5 msN/A
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=50-q=50-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=50-q=50-ndarray]N/A
3 msN/A
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=20-q=10-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=20-q=10-COO]N/A
2.6 msN/A
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=50-q=10-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=50-q=10-ndarray]N/A
1.7 msN/A
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=50-q=10-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=50-q=10-ndarray]N/A
2.3 msN/A
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=20-q=10-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=20-q=10-ndarray]N/A
1.5 msN/A
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=20-q=50-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=20-q=50-COO]N/A
5.5 msN/A
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=20-q=10-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=20-q=10-ndarray]N/A
1.7 msN/A
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=50-q=10-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=50-q=10-ndarray]N/A
1.5 msN/A
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=50-q=10-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=50-q=10-COO]N/A
2.8 msN/A
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=20-q=50-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=20-q=50-ndarray]N/A
5 msN/A
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=50-q=10-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=50-q=10-COO]N/A
3.1 msN/A
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=50-q=50-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=50-q=50-COO]N/A
6.8 msN/A
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=50-q=50-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=50-q=50-COO]N/A
5.1 msN/A
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=50-q=10-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=50-q=10-ndarray]N/A
3.2 msN/A
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=50-q=10-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=50-q=10-COO]N/A
2.7 msN/A
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=50-q=50-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=50-q=50-ndarray]N/A
2.2 msN/A
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=20-q=10-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=20-q=10-ndarray]N/A
1.7 msN/A
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=50-q=50-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=50-q=50-ndarray]N/A
10.7 msN/A
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=20-q=10-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=20-q=10-COO]N/A
2.1 msN/A
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=20-q=50-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=20-q=50-COO]N/A
2.6 msN/A
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=20-q=50-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=20-q=50-ndarray]N/A
1.7 msN/A
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=20-q=50-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=20-q=50-ndarray]N/A
3.2 msN/A
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=20-q=10-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=20-q=10-COO]N/A
2.5 msN/A
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=50-q=50-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=50-q=50-ndarray]N/A
5.9 msN/A
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=20-q=50-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=20-q=50-COO]N/A
3.3 msN/A
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=20-q=50-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=20-q=50-COO]N/A
3.7 msN/A
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=50-q=50-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=50-q=50-COO]N/A
4 msN/A
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=50-q=10-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=50-q=10-COO]N/A
2 msN/A
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=50-q=10-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=50-q=10-ndarray]N/A
1.7 msN/A
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=20-q=10-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=20-q=10-COO]N/A
1.9 msN/A
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=50-q=10-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=50-q=10-COO]N/A
2.2 msN/A
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=50-q=50-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=50-q=50-ndarray]N/A
3.2 msN/A
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=50-q=50-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=50-q=50-ndarray]N/A
2.3 msN/A
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=50-q=50-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=50-q=50-COO]N/A
3 msN/A
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=20-q=10-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=20-q=10-ndarray]N/A
1.5 msN/A
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=20-q=50-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=20-q=50-ndarray]N/A
2.1 msN/A
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=50-q=50-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=50-q=50-COO]N/A
10.5 msN/A
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=20-q=10-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=20-q=10-ndarray]N/A
1.5 msN/A
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=50-q=10-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=50-q=10-ndarray]N/A
4.1 msN/A
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=50-q=50-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=50-q=50-ndarray]N/A
10.3 msN/A
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=50-q=10-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=50-q=10-ndarray]N/A
3.3 msN/A
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=20-q=50-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=20-q=50-ndarray]N/A
5.6 msN/A
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=50-q=10-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=50-q=10-COO]N/A
3 msN/A
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=20-q=10-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=20-q=10-COO]N/A
1.8 msN/A
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=50-q=10-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=50-q=10-COO]N/A
4.3 msN/A
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=20-q=50-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=20-q=50-COO]N/A
5.8 msN/A
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=20-q=10-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=20-q=10-COO]N/A
3.3 msN/A
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=20-q=50-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=20-q=50-COO]N/A
2.2 msN/A
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=20-q=50-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=20-q=50-COO]N/A
4.2 msN/A
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=50-q=10-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=50-q=10-ndarray]N/A
1.6 msN/A
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=50-q=50-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=50-q=50-ndarray]N/A
4.1 msN/A
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=50-q=10-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=50-q=10-COO]N/A
3.5 msN/A
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=20-q=50-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=20-q=50-ndarray]N/A
1.7 msN/A
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=20-q=10-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=20-q=10-ndarray]N/A
2.7 msN/A
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=20-q=10-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=20-q=10-ndarray]N/A
3.1 msN/A
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=50-q=10-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=50-q=10-ndarray]N/A
2.8 msN/A
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=20-q=50-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=20-q=50-ndarray]N/A
4 msN/A
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=20-q=10-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=20-q=10-COO]N/A
2.9 msN/A
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=50-q=50-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=50-q=50-COO]N/A
4.3 msN/A
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=50-q=50-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=50-q=50-COO]N/A
6.6 msN/A
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=20-q=50-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=20-q=50-COO]N/A
3.3 msN/A
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=50-q=10-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=50-q=10-COO]N/A
2.8 msN/A
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=50-q=50-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=50-q=50-ndarray]N/A
6.3 msN/A
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=20-q=10-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=20-q=10-ndarray]N/A
2.6 msN/A
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=20-q=10-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=20-q=10-COO]N/A
2.8 msN/A
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=50-q=50-COO]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=50-q=50-COO]N/A
3.5 msN/A
test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=1000-p=1000]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=1000-p=1000]N/A
19.1 msN/A
test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=1000-p=1000]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=1000-p=1000]N/A
12.7 msN/A
test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=500-p=1000]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=500-p=1000]N/A
13.9 msN/A
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=50-q=10-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=50-q=10-ndarray]N/A
2.6 msN/A
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=50-q=50-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=50-q=50-ndarray]N/A
3.3 msN/A
test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=500-p=200]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=500-p=200]N/A
3.4 msN/A
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=20-q=50-ndarray]Missing
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=20-q=50-ndarray]N/A
3.1 msN/A
test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=500-p=500]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=500-p=500]N/A
6.9 msN/A
test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=1000-p=200]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=1000-p=200]N/A
4.1 msN/A
test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=1000-p=1000]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=1000-p=1000]N/A
9 msN/A
test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=200-p=1000]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=200-p=1000]N/A
6.4 msN/A
test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=1000-p=500]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=1000-p=500]N/A
8.7 msN/A
test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=500-p=1000]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=500-p=1000]N/A
5.8 msN/A
test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=200-p=500]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=200-p=500]N/A
3.8 msN/A
test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=200-p=500]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=200-p=500]N/A
5.9 msN/A
test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=1000-p=1000]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=1000-p=1000]N/A
19.8 msN/A
test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=200-p=500]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=200-p=500]N/A
5.9 msN/A
test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=1000-p=200]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=1000-p=200]N/A
3.2 msN/A
test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=500-p=1000]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=500-p=1000]N/A
8.4 msN/A
test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=1000-p=200]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=1000-p=200]N/A
2.7 msN/A
test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=200-p=1000]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=200-p=1000]N/A
11.1 msN/A
test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=200-p=200]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=200-p=200]N/A
3 msN/A
test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=500-p=500]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=500-p=500]N/A
4.7 msN/A
test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=1000-p=500]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=1000-p=500]N/A
6.3 msN/A
test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=200-p=200]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=200-p=200]N/A
2.2 msN/A
test_elemwise[side=500-rank=1-format='coo'-mul]Missing
benchmarks/test_benchmark_coo.py::test_elemwise[side=500-rank=1-format='coo'-mul]N/A
2.7 msN/A
test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=1000-p=500]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=1000-p=500]N/A
8.6 msN/A
test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=1000-p=500]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=1000-p=500]N/A
5 msN/A
test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=200-p=500]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=200-p=500]N/A
2.6 msN/A
test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=500-p=200]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=500-p=200]N/A
2.6 msN/A
test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=500-p=500]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=500-p=500]N/A
3.5 msN/A
test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=500-p=1000]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=500-p=1000]N/A
13.8 msN/A
test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=500-p=200]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=500-p=200]N/A
2.1 msN/A
test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=1000-p=200]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=1000-p=200]N/A
4.1 msN/A
test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=500-p=500]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=500-p=500]N/A
6.9 msN/A
test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=200-p=1000]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=200-p=1000]N/A
4 msN/A
test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=200-p=1000]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=200-p=1000]N/A
11 msN/A
test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=500-p=200]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=500-p=200]N/A
3.4 msN/A
test_elemwise[side=100-rank=2-format='gcxs'-mul]Missing
benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=2-format='gcxs'-mul]N/A
6.8 msN/A
test_elemwise[side=100-rank=2-format='gcxs'-add]Missing
benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=2-format='gcxs'-add]N/A
7.9 msN/A
test_elemwise[side=500-rank=1-format='coo'-add]Missing
benchmarks/test_benchmark_coo.py::test_elemwise[side=500-rank=1-format='coo'-add]N/A
3.5 msN/A
test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=200-p=200]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=200-p=200]N/A
1.7 msN/A
test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=1000-p=500]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=1000-p=500]N/A
6.3 msN/A
test_elemwise[side=100-rank=2-format='coo'-add]Missing
benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=2-format='coo'-add]N/A
4 msN/A
test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=500-p=500]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=500-p=500]N/A
4.7 msN/A
test_elemwise[side=100-rank=3-format='coo'-add]Missing
benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=3-format='coo'-add]N/A
21.9 msN/A
test_elemwise[side=100-rank=3-format='gcxs'-add]Missing
benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=3-format='gcxs'-add]N/A
32.9 msN/A
test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=500-p=1000]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=500-p=1000]N/A
8.4 msN/A
test_elemwise[side=100-rank=2-format='coo'-mul]Missing
benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=2-format='coo'-mul]N/A
3 msN/A
test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=1000-p=1000]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=1000-p=1000]N/A
12.4 msN/A
test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=1000-p=500]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=1000-p=500]N/A
5 msN/A
test_matmul[m=1000-n=1000-p=200-gcxs]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=1000-p=200-gcxs]N/A
11.3 msN/A
test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=200-p=200]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=200-p=200]N/A
3 msN/A
test_elemwise[side=100-rank=3-format='coo'-mul]Missing
benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=3-format='coo'-mul]N/A
9.6 msN/A
test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=1000-p=200]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=1000-p=200]N/A
3.2 msN/A
test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=200-p=1000]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=200-p=1000]N/A
6.4 msN/A
test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=1000-p=1000]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=1000-p=1000]N/A
9 msN/A
test_elemwise[side=100-rank=1-format='coo'-add]Missing
benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=1-format='coo'-add]N/A
3.5 msN/A
test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=500-p=200]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=500-p=200]N/A
2.6 msN/A
test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=200-p=500]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=200-p=500]N/A
3.8 msN/A
test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=500-p=1000]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=500-p=1000]N/A
5.8 msN/A
test_gcxs_dot_ndarray[coo-m=1000-n=1000-p=200]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=1000-n=1000-p=200]N/A
7.1 msN/A
test_elemwise[side=100-rank=1-format='gcxs'-mul]Missing
benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=1-format='gcxs'-mul]N/A
3.3 msN/A
test_elemwise[side=100-rank=3-format='gcxs'-mul]Missing
benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=3-format='gcxs'-mul]N/A
16.9 msN/A
test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=1000-p=200]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=1000-p=200]N/A
2.7 msN/A
test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=200-p=500]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=200-p=500]N/A
2.6 msN/A
test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=200-p=1000]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=200-p=1000]N/A
4 msN/A
test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=200-p=200]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=200-p=200]N/A
1.7 msN/A
test_matmul[m=1000-n=1000-p=500-coo]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=1000-p=500-coo]N/A
21.7 msN/A
test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=200-p=200]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=200-p=200]N/A
2.2 msN/A
test_elemwise[side=100-rank=1-format='coo'-mul]Missing
benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=1-format='coo'-mul]N/A
2.7 msN/A
test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=500-p=500]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=500-p=500]N/A
3.5 msN/A
test_gcxs_dot_ndarray[coo-m=1000-n=1000-p=500]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=1000-n=1000-p=500]N/A
15.7 msN/A
test_elemwise[side=100-rank=1-format='gcxs'-add]Missing
benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=1-format='gcxs'-add]N/A
4.1 msN/A
test_matmul[m=1000-n=1000-p=500-gcxs]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=1000-p=500-gcxs]N/A
22.6 msN/A
test_matmul[m=1000-n=500-p=500-gcxs]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=500-p=500-gcxs]N/A
14.7 msN/A
test_matmul[m=1000-n=1000-p=1000-gcxs]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=1000-p=1000-gcxs]N/A
27.8 msN/A
test_matmul[m=1000-n=200-p=1000-gcxs]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=200-p=1000-gcxs]N/A
15.5 msN/A
test_gcxs_dot_ndarray[coo-m=1000-n=1000-p=1000]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=1000-n=1000-p=1000]N/A
33.5 msN/A
test_matmul[m=1000-n=500-p=1000-coo]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=500-p=1000-coo]N/A
23.6 msN/A
test_matmul[m=1000-n=500-p=500-coo]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=500-p=500-coo]N/A
13.2 msN/A
test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=500-p=200]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=500-p=200]N/A
2.1 msN/A
test_gcxs_dot_ndarray[coo-m=1000-n=500-p=500]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=1000-n=500-p=500]N/A
10.7 msN/A
test_gcxs_dot_ndarray[coo-m=1000-n=500-p=200]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=1000-n=500-p=200]N/A
5.2 msN/A
test_matmul[m=1000-n=200-p=500-gcxs]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=200-p=500-gcxs]N/A
10.1 msN/A
test_matmul[m=1000-n=500-p=1000-gcxs]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=500-p=1000-gcxs]N/A
24.8 msN/A
test_gcxs_dot_ndarray[coo-m=500-n=200-p=1000]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=500-n=200-p=1000]N/A
8.3 msN/A
test_matmul[m=1000-n=500-p=200-gcxs]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=500-p=200-gcxs]N/A
5.9 msN/A
test_gcxs_dot_ndarray[coo-m=200-n=1000-p=500]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=200-n=1000-p=500]N/A
6.6 msN/A
test_matmul[m=1000-n=1000-p=1000-coo]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=1000-p=1000-coo]N/A
39.9 msN/A
test_gcxs_dot_ndarray[coo-m=500-n=1000-p=200]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=500-n=1000-p=200]N/A
4.8 msN/A
test_matmul[m=1000-n=1000-p=200-coo]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=1000-p=200-coo]N/A
10 msN/A
test_gcxs_dot_ndarray[coo-m=1000-n=500-p=1000]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=1000-n=500-p=1000]N/A
21.3 msN/A
test_gcxs_dot_ndarray[coo-m=1000-n=200-p=1000]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=1000-n=200-p=1000]N/A
14.4 msN/A
test_gcxs_dot_ndarray[coo-m=1000-n=200-p=200]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=1000-n=200-p=200]N/A
3.9 msN/A
test_matmul[m=1000-n=200-p=1000-coo]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=200-p=1000-coo]N/A
13.7 msN/A
test_gcxs_dot_ndarray[coo-m=500-n=1000-p=500]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=500-n=1000-p=500]N/A
9.9 msN/A
test_matmul[m=500-n=1000-p=1000-gcxs]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=1000-p=1000-gcxs]N/A
15.4 msN/A
test_gcxs_dot_ndarray[coo-m=500-n=200-p=500]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=500-n=200-p=500]N/A
4.8 msN/A
test_matmul[m=1000-n=200-p=500-coo]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=200-p=500-coo]N/A
8.3 msN/A
test_gcxs_dot_ndarray[coo-m=500-n=500-p=500]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=500-n=500-p=500]N/A
6.8 msN/A
test_gcxs_dot_ndarray[coo-m=1000-n=200-p=500]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=1000-n=200-p=500]N/A
7.7 msN/A
test_gcxs_dot_ndarray[coo-m=500-n=1000-p=1000]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=500-n=1000-p=1000]N/A
19.4 msN/A
test_matmul[m=1000-n=500-p=200-coo]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=500-p=200-coo]N/A
6.4 msN/A
test_gcxs_dot_ndarray[coo-m=500-n=500-p=200]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=500-n=500-p=200]N/A
3.6 msN/A
test_gcxs_dot_ndarray[coo-m=200-n=500-p=200]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=200-n=500-p=200]N/A
2.6 msN/A
test_gcxs_dot_ndarray[coo-m=200-n=1000-p=1000]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=200-n=1000-p=1000]N/A
12 msN/A
test_matmul[m=500-n=1000-p=500-coo]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=1000-p=500-coo]N/A
12.3 msN/A
test_matmul[m=1000-n=200-p=200-coo]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=200-p=200-coo]N/A
4.2 msN/A
test_matmul[m=500-n=1000-p=1000-coo]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=1000-p=1000-coo]N/A
21.8 msN/A
test_matmul[m=500-n=1000-p=200-gcxs]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=1000-p=200-gcxs]N/A
9.1 msN/A
test_gcxs_dot_ndarray[coo-m=500-n=500-p=1000]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=500-n=500-p=1000]N/A
12.2 msN/A
test_matmul[m=500-n=1000-p=500-gcxs]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=1000-p=500-gcxs]N/A
16.2 msN/A
test_gcxs_dot_ndarray[coo-m=200-n=1000-p=200]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=200-n=1000-p=200]N/A
3.5 msN/A
test_gcxs_dot_ndarray[coo-m=200-n=500-p=500]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=200-n=500-p=500]N/A
4.5 msN/A
test_matmul[m=1000-n=200-p=200-gcxs]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=200-p=200-gcxs]N/A
6.9 msN/A
test_gcxs_dot_ndarray[coo-m=500-n=200-p=200]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=500-n=200-p=200]N/A
2.8 msN/A
test_matmul[m=500-n=500-p=1000-coo]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=500-p=1000-coo]N/A
13.4 msN/A
test_gcxs_dot_ndarray[coo-m=200-n=200-p=200]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=200-n=200-p=200]N/A
2.1 msN/A
test_index_fancy[side=1000-rank=2-format='gcxs']Missing
benchmarks/test_benchmark_coo.py::test_index_fancy[side=1000-rank=2-format='gcxs']N/A
6.6 msN/A
test_matmul[m=500-n=500-p=1000-gcxs]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=500-p=1000-gcxs]N/A
10.4 msN/A
test_index_fancy[side=1000-rank=2-format='coo']Missing
benchmarks/test_benchmark_coo.py::test_index_fancy[side=1000-rank=2-format='coo']N/A
4.6 msN/A
test_index_fancy[side=100-rank=3-format='coo']Missing
benchmarks/test_benchmark_coo.py::test_index_fancy[side=100-rank=3-format='coo']N/A
3.6 msN/A
test_gcxs_dot_ndarray[coo-m=200-n=500-p=1000]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=200-n=500-p=1000]N/A
7.5 msN/A
test_gcxs_dot_ndarray[coo-m=200-n=200-p=1000]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=200-n=200-p=1000]N/A
4.8 msN/A
test_matmul[m=500-n=1000-p=200-coo]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=1000-p=200-coo]N/A
6.5 msN/A
test_matmul[m=500-n=500-p=200-gcxs]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=500-p=200-gcxs]N/A
6.9 msN/A
test_index_scalar[side=100-rank=2-format='gcxs']Missing
benchmarks/test_benchmark_coo.py::test_index_scalar[side=100-rank=2-format='gcxs']N/A
1.5 msN/A
test_matmul[m=500-n=500-p=200-coo]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=500-p=200-coo]N/A
4.6 msN/A
test_gcxs_dot_ndarray[coo-m=200-n=200-p=500]Missing
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=200-n=200-p=500]N/A
3.1 msN/A
test_index_fancy[side=500-rank=1-format='gcxs']Missing
benchmarks/test_benchmark_coo.py::test_index_fancy[side=500-rank=1-format='gcxs']N/A
1.4 msN/A
test_matmul[m=500-n=500-p=500-gcxs]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=500-p=500-gcxs]N/A
6.7 msN/A
test_index_fancy[side=100-rank=1-format='coo']Missing
benchmarks/test_benchmark_coo.py::test_index_fancy[side=100-rank=1-format='coo']N/A
680 µsN/A
test_index_fancy[side=500-rank=2-format='gcxs']Missing
benchmarks/test_benchmark_coo.py::test_index_fancy[side=500-rank=2-format='gcxs']N/A
3.2 msN/A
test_matmul[m=500-n=200-p=500-coo]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=200-p=500-coo]N/A
5.5 msN/A
test_index_fancy[side=1000-rank=1-format='gcxs']Missing
benchmarks/test_benchmark_coo.py::test_index_fancy[side=1000-rank=1-format='gcxs']N/A
2 msN/A
test_index_fancy[side=500-rank=2-format='coo']Missing
benchmarks/test_benchmark_coo.py::test_index_fancy[side=500-rank=2-format='coo']N/A
1.9 msN/A
test_index_fancy[side=100-rank=2-format='gcxs']Missing
benchmarks/test_benchmark_coo.py::test_index_fancy[side=100-rank=2-format='gcxs']N/A
2.2 msN/A
test_index_slice[side=1000-rank=2-format='gcxs']Missing
benchmarks/test_benchmark_coo.py::test_index_slice[side=1000-rank=2-format='gcxs']N/A
4.2 msN/A
test_index_fancy[side=1000-rank=1-format='coo']Missing
benchmarks/test_benchmark_coo.py::test_index_fancy[side=1000-rank=1-format='coo']N/A
1.7 msN/A
test_index_slice[side=1000-rank=2-format='coo']Missing
benchmarks/test_benchmark_coo.py::test_index_slice[side=1000-rank=2-format='coo']N/A
1.6 msN/A
test_index_fancy[side=100-rank=3-format='gcxs']Missing
benchmarks/test_benchmark_coo.py::test_index_fancy[side=100-rank=3-format='gcxs']N/A
7.1 msN/A
test_matmul[m=500-n=200-p=200-gcxs]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=200-p=200-gcxs]N/A
6 msN/A
test_index_fancy[side=500-rank=1-format='coo']Missing
benchmarks/test_benchmark_coo.py::test_index_fancy[side=500-rank=1-format='coo']N/A
1.1 msN/A
test_index_slice[side=1000-rank=1-format='gcxs']Missing
benchmarks/test_benchmark_coo.py::test_index_slice[side=1000-rank=1-format='gcxs']N/A
861.9 µsN/A
test_index_slice[side=500-rank=2-format='coo']Missing
benchmarks/test_benchmark_coo.py::test_index_slice[side=500-rank=2-format='coo']N/A
928.1 µsN/A
test_index_fancy[side=100-rank=2-format='coo']Missing
benchmarks/test_benchmark_coo.py::test_index_fancy[side=100-rank=2-format='coo']N/A
812.3 µsN/A
test_matmul[m=500-n=200-p=1000-coo]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=200-p=1000-coo]N/A
8.2 msN/A
test_matmul[m=500-n=200-p=500-gcxs]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=200-p=500-gcxs]N/A
8 msN/A
test_matmul[m=200-n=1000-p=1000-gcxs]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=1000-p=1000-gcxs]N/A
7.9 msN/A
test_matmul[m=500-n=500-p=500-coo]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=500-p=500-coo]N/A
8.1 msN/A
test_index_fancy[side=100-rank=1-format='gcxs']Missing
benchmarks/test_benchmark_coo.py::test_index_fancy[side=100-rank=1-format='gcxs']N/A
962.1 µsN/A
test_matmul[m=500-n=200-p=1000-gcxs]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=200-p=1000-gcxs]N/A
11.2 msN/A
test_elemwise_broadcast[side=1000-format='gcxs'-mul]Missing
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=1000-format='gcxs'-mul]N/A
102 msN/A
test_index_slice[side=1000-rank=1-format='coo']Missing
benchmarks/test_benchmark_coo.py::test_index_slice[side=1000-rank=1-format='coo']N/A
535.5 µsN/A
test_index_slice[side=500-rank=2-format='gcxs']Missing
benchmarks/test_benchmark_coo.py::test_index_slice[side=500-rank=2-format='gcxs']N/A
2.6 msN/A
test_index_scalar[side=1000-rank=2-format='gcxs']Missing
benchmarks/test_benchmark_coo.py::test_index_scalar[side=1000-rank=2-format='gcxs']N/A
1.5 msN/A
test_matmul[m=200-n=1000-p=1000-coo]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=1000-p=1000-coo]N/A
10.7 msN/A
test_index_slice[side=500-rank=1-format='coo']Missing
benchmarks/test_benchmark_coo.py::test_index_slice[side=500-rank=1-format='coo']N/A
507.4 µsN/A
test_index_slice[side=100-rank=1-format='coo']Missing
benchmarks/test_benchmark_coo.py::test_index_slice[side=100-rank=1-format='coo']N/A
532.9 µsN/A
test_matmul[m=500-n=200-p=200-coo]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=200-p=200-coo]N/A
3.5 msN/A
test_index_scalar[side=500-rank=1-format='gcxs']Missing
benchmarks/test_benchmark_coo.py::test_index_scalar[side=500-rank=1-format='gcxs']N/A
636 µsN/A
test_index_slice[side=100-rank=3-format='gcxs']Missing
benchmarks/test_benchmark_coo.py::test_index_slice[side=100-rank=3-format='gcxs']N/A
3.5 msN/A
test_matmul[m=200-n=1000-p=500-gcxs]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=1000-p=500-gcxs]N/A
12.3 msN/A
test_index_scalar[side=1000-rank=1-format='coo']Missing
benchmarks/test_benchmark_coo.py::test_index_scalar[side=1000-rank=1-format='coo']N/A
320.5 µsN/A
test_index_scalar[side=500-rank=2-format='coo']Missing
benchmarks/test_benchmark_coo.py::test_index_scalar[side=500-rank=2-format='coo']N/A
401.8 µsN/A
test_matmul[m=200-n=1000-p=500-coo]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=1000-p=500-coo]N/A
6.8 msN/A
test_index_slice[side=500-rank=1-format='gcxs']Missing
benchmarks/test_benchmark_coo.py::test_index_slice[side=500-rank=1-format='gcxs']N/A
858.9 µsN/A
test_index_scalar[side=1000-rank=2-format='coo']Missing
benchmarks/test_benchmark_coo.py::test_index_scalar[side=1000-rank=2-format='coo']N/A
401.5 µsN/A
test_index_slice[side=100-rank=3-format='coo']Missing
benchmarks/test_benchmark_coo.py::test_index_slice[side=100-rank=3-format='coo']N/A
1.4 msN/A
test_index_slice[side=100-rank=2-format='coo']Missing
benchmarks/test_benchmark_coo.py::test_index_slice[side=100-rank=2-format='coo']N/A
632.4 µsN/A
test_index_scalar[side=100-rank=2-format='coo']Missing
benchmarks/test_benchmark_coo.py::test_index_scalar[side=100-rank=2-format='coo']N/A
401.4 µsN/A
test_index_slice[side=100-rank=2-format='gcxs']Missing
benchmarks/test_benchmark_coo.py::test_index_slice[side=100-rank=2-format='gcxs']N/A
2.2 msN/A
test_elemwise_broadcast[side=1000-format='gcxs'-add]Missing
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=1000-format='gcxs'-add]N/A
22.4 sN/A
test_matmul[m=200-n=500-p=1000-gcxs]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=500-p=1000-gcxs]N/A
5.9 msN/A
test_index_scalar[side=100-rank=3-format='gcxs']Missing
benchmarks/test_benchmark_coo.py::test_index_scalar[side=100-rank=3-format='gcxs']N/A
1.6 msN/A
test_index_scalar[side=500-rank=1-format='coo']Missing
benchmarks/test_benchmark_coo.py::test_index_scalar[side=500-rank=1-format='coo']N/A
320.2 µsN/A
test_elemwise_broadcast[side=1000-format='coo'-mul]Missing
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=1000-format='coo'-mul]N/A
74.7 msN/A
test_matmul[m=200-n=1000-p=200-gcxs]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=1000-p=200-gcxs]N/A
7.7 msN/A
test_matmul[m=200-n=500-p=200-gcxs]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=500-p=200-gcxs]N/A
6.2 msN/A
test_index_slice[side=100-rank=1-format='gcxs']Missing
benchmarks/test_benchmark_coo.py::test_index_slice[side=100-rank=1-format='gcxs']N/A
851.7 µsN/A
test_index_scalar[side=100-rank=1-format='coo']Missing
benchmarks/test_benchmark_coo.py::test_index_scalar[side=100-rank=1-format='coo']N/A
319.2 µsN/A
test_index_scalar[side=100-rank=1-format='gcxs']Missing
benchmarks/test_benchmark_coo.py::test_index_scalar[side=100-rank=1-format='gcxs']N/A
629 µsN/A
test_elemwise_broadcast[side=500-format='gcxs'-mul]Missing
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=500-format='gcxs'-mul]N/A
20 msN/A
test_matmul[m=200-n=500-p=200-coo]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=500-p=200-coo]N/A
3.5 msN/A
test_matmul[m=200-n=500-p=1000-coo]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=500-p=1000-coo]N/A
7.2 msN/A
test_index_scalar[side=100-rank=3-format='coo']Missing
benchmarks/test_benchmark_coo.py::test_index_scalar[side=100-rank=3-format='coo']N/A
481.8 µsN/A
test_matmul[m=200-n=1000-p=200-coo]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=1000-p=200-coo]N/A
4.3 msN/A
test_elemwise[side=1000-rank=2-format='coo'-mul]Missing
benchmarks/test_benchmark_coo.py::test_elemwise[side=1000-rank=2-format='coo'-mul]N/A
8.9 msN/A
test_index_scalar[side=1000-rank=1-format='gcxs']Missing
benchmarks/test_benchmark_coo.py::test_index_scalar[side=1000-rank=1-format='gcxs']N/A
637.6 µsN/A
test_matmul[m=200-n=500-p=500-gcxs]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=500-p=500-gcxs]N/A
4.4 msN/A
test_elemwise_broadcast[side=100-format='coo'-add]Missing
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=100-format='coo'-add]N/A
14.1 msN/A
test_index_scalar[side=500-rank=2-format='gcxs']Missing
benchmarks/test_benchmark_coo.py::test_index_scalar[side=500-rank=2-format='gcxs']N/A
1.5 msN/A
test_elemwise[side=500-rank=2-format='gcxs'-mul]Missing
benchmarks/test_benchmark_coo.py::test_elemwise[side=500-rank=2-format='gcxs'-mul]N/A
8.6 msN/A
test_elemwise_broadcast[side=100-format='gcxs'-mul]Missing
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=100-format='gcxs'-mul]N/A
7.5 msN/A
test_matmul[m=200-n=200-p=1000-coo]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=200-p=1000-coo]N/A
5.1 msN/A
test_elemwise_broadcast[side=500-format='coo'-mul]Missing
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=500-format='coo'-mul]N/A
12.7 msN/A
test_elemwise_broadcast[side=100-format='coo'-mul]Missing
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=100-format='coo'-mul]N/A
3.2 msN/A
test_elemwise_broadcast[side=500-format='coo'-add]Missing
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=500-format='coo'-add]N/A
1.7 sN/A
test_elemwise_broadcast[side=1000-format='coo'-add]Missing
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=1000-format='coo'-add]N/A
14.9 sN/A
test_elemwise[side=1000-rank=2-format='gcxs'-add]Missing
benchmarks/test_benchmark_coo.py::test_elemwise[side=1000-rank=2-format='gcxs'-add]N/A
28.9 msN/A
test_elemwise_broadcast[side=500-format='gcxs'-add]Missing
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=500-format='gcxs'-add]N/A
2.6 sN/A
test_elemwise[side=1000-rank=2-format='coo'-add]Missing
benchmarks/test_benchmark_coo.py::test_elemwise[side=1000-rank=2-format='coo'-add]N/A
20.1 msN/A
test_elemwise[side=1000-rank=1-format='coo'-mul]Missing
benchmarks/test_benchmark_coo.py::test_elemwise[side=1000-rank=1-format='coo'-mul]N/A
2.7 msN/A
test_matmul[m=200-n=500-p=500-coo]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=500-p=500-coo]N/A
5 msN/A
test_elemwise[side=1000-rank=1-format='gcxs'-mul]Missing
benchmarks/test_benchmark_coo.py::test_elemwise[side=1000-rank=1-format='gcxs'-mul]N/A
3.3 msN/A
test_elemwise[side=1000-rank=2-format='gcxs'-mul]Missing
benchmarks/test_benchmark_coo.py::test_elemwise[side=1000-rank=2-format='gcxs'-mul]N/A
14.1 msN/A
test_matmul[m=200-n=200-p=1000-gcxs]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=200-p=1000-gcxs]N/A
4.7 msN/A
test_elemwise_broadcast[side=100-format='gcxs'-add]Missing
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=100-format='gcxs'-add]N/A
22.1 msN/A
test_elemwise[side=1000-rank=1-format='coo'-add]Missing
benchmarks/test_benchmark_coo.py::test_elemwise[side=1000-rank=1-format='coo'-add]N/A
3.6 msN/A
test_elemwise[side=1000-rank=1-format='gcxs'-add]Missing
benchmarks/test_benchmark_coo.py::test_elemwise[side=1000-rank=1-format='gcxs'-add]N/A
4.2 msN/A
test_elemwise[side=500-rank=1-format='gcxs'-add]Missing
benchmarks/test_benchmark_coo.py::test_elemwise[side=500-rank=1-format='gcxs'-add]N/A
4.2 msN/A
test_matmul[m=200-n=200-p=200-gcxs]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=200-p=200-gcxs]N/A
3.1 msN/A
test_elemwise[side=500-rank=2-format='gcxs'-add]Missing
benchmarks/test_benchmark_coo.py::test_elemwise[side=500-rank=2-format='gcxs'-add]N/A
12.9 msN/A
test_elemwise[side=500-rank=2-format='coo'-mul]Missing
benchmarks/test_benchmark_coo.py::test_elemwise[side=500-rank=2-format='coo'-mul]N/A
4.4 msN/A
test_matmul[m=200-n=200-p=500-gcxs]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=200-p=500-gcxs]N/A
3.8 msN/A
test_elemwise[side=500-rank=2-format='coo'-add]Missing
benchmarks/test_benchmark_coo.py::test_elemwise[side=500-rank=2-format='coo'-add]N/A
7.9 msN/A
test_elemwise[side=500-rank=1-format='gcxs'-mul]Missing
benchmarks/test_benchmark_coo.py::test_elemwise[side=500-rank=1-format='gcxs'-mul]N/A
3.3 msN/A
test_matmul[m=200-n=200-p=500-coo]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=200-p=500-coo]N/A
3.9 msN/A
test_matmul[m=200-n=200-p=200-coo]Missing
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=200-p=200-coo]N/A
3 msN/A
New
test_matmul[backend='Numba'-m=200-n=200-p=200-coo]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=200-n=200-p=200-coo]N/A
N/A3 ms
test_matmul[backend='Numba'-m=200-n=200-p=500-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=200-n=200-p=500-gcxs]N/A
N/A3.8 ms
test_matmul[backend='Numba'-m=200-n=200-p=1000-coo]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=200-n=200-p=1000-coo]N/A
N/A5.1 ms
test_matmul[backend='Numba'-m=200-n=200-p=1000-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=200-n=200-p=1000-gcxs]N/A
N/A4.7 ms
test_matmul[backend='Numba'-m=200-n=500-p=200-coo]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=200-n=500-p=200-coo]N/A
N/A3.5 ms
test_matmul[backend='Numba'-m=200-n=500-p=200-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=200-n=500-p=200-gcxs]N/A
N/A6.2 ms
test_matmul[backend='Numba'-m=200-n=1000-p=1000-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=200-n=1000-p=1000-gcxs]N/A
N/A7.9 ms
test_matmul[backend='Numba'-m=200-n=500-p=500-coo]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=200-n=500-p=500-coo]N/A
N/A5 ms
test_matmul[backend='Numba'-m=200-n=500-p=1000-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=200-n=500-p=1000-gcxs]N/A
N/A6 ms
test_matmul[backend='Numba'-m=200-n=200-p=200-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=200-n=200-p=200-gcxs]N/A
N/A3.1 ms
test_matmul[backend='Numba'-m=200-n=1000-p=500-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=200-n=1000-p=500-gcxs]N/A
N/A12.3 ms
test_matmul[backend='Numba'-m=200-n=200-p=500-coo]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=200-n=200-p=500-coo]N/A
N/A3.9 ms
test_matmul[backend='Numba'-m=500-n=200-p=200-coo]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=500-n=200-p=200-coo]N/A
N/A3.5 ms
test_matmul[backend='Numba'-m=200-n=500-p=1000-coo]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=200-n=500-p=1000-coo]N/A
N/A7.3 ms
test_matmul[backend='Numba'-m=200-n=500-p=500-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=200-n=500-p=500-gcxs]N/A
N/A4.4 ms
test_matmul[backend='Numba'-m=200-n=1000-p=200-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=200-n=1000-p=200-gcxs]N/A
N/A7.6 ms
test_matmul[backend='Numba'-m=500-n=200-p=500-coo]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=500-n=200-p=500-coo]N/A
N/A5.5 ms
test_matmul[backend='Numba'-m=500-n=200-p=200-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=500-n=200-p=200-gcxs]N/A
N/A6 ms
test_matmul[backend='Numba'-m=200-n=1000-p=500-coo]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=200-n=1000-p=500-coo]N/A
N/A6.9 ms
test_matmul[backend='Numba'-m=500-n=500-p=500-coo]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=500-n=500-p=500-coo]N/A
N/A8.1 ms
test_matmul[backend='Numba'-m=500-n=500-p=1000-coo]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=500-n=500-p=1000-coo]N/A
N/A13.2 ms
test_matmul[backend='Numba'-m=200-n=1000-p=200-coo]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=200-n=1000-p=200-coo]N/A
N/A4.3 ms
test_matmul[backend='Numba'-m=500-n=1000-p=1000-coo]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=500-n=1000-p=1000-coo]N/A
N/A21.8 ms
test_matmul[backend='Numba'-m=200-n=1000-p=1000-coo]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=200-n=1000-p=1000-coo]N/A
N/A10.8 ms
test_matmul[backend='Numba'-m=500-n=500-p=200-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=500-n=500-p=200-gcxs]N/A
N/A6.9 ms
test_matmul[backend='Numba'-m=1000-n=500-p=200-coo]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=1000-n=500-p=200-coo]N/A
N/A6.4 ms
test_matmul[backend='Numba'-m=500-n=1000-p=1000-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=500-n=1000-p=1000-gcxs]N/A
N/A15.4 ms
test_matmul[backend='Numba'-m=1000-n=200-p=200-coo]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=1000-n=200-p=200-coo]N/A
N/A4.2 ms
test_matmul[backend='Numba'-m=500-n=1000-p=200-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=500-n=1000-p=200-gcxs]N/A
N/A9.1 ms
test_matmul[backend='Numba'-m=500-n=200-p=1000-coo]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=500-n=200-p=1000-coo]N/A
N/A8.2 ms
test_matmul[backend='Numba'-m=500-n=1000-p=500-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=500-n=1000-p=500-gcxs]N/A
N/A16.1 ms
test_matmul[backend='Numba'-m=1000-n=200-p=1000-coo]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=1000-n=200-p=1000-coo]N/A
N/A13.7 ms
test_matmul[backend='Numba'-m=500-n=200-p=500-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=500-n=200-p=500-gcxs]N/A
N/A8 ms
test_matmul[backend='Numba'-m=1000-n=200-p=200-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=1000-n=200-p=200-gcxs]N/A
N/A6.9 ms
test_matmul[backend='Numba'-m=500-n=500-p=500-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=500-n=500-p=500-gcxs]N/A
N/A6.7 ms
test_matmul[backend='Numba'-m=1000-n=1000-p=200-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=1000-n=1000-p=200-gcxs]N/A
N/A11.3 ms
test_matmul[backend='Numba'-m=1000-n=500-p=500-coo]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=1000-n=500-p=500-coo]N/A
N/A13.2 ms
test_matmul[backend='Numba'-m=500-n=500-p=200-coo]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=500-n=500-p=200-coo]N/A
N/A4.6 ms
test_matmul[backend='Numba'-m=500-n=500-p=1000-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=500-n=500-p=1000-gcxs]N/A
N/A10.4 ms
test_matmul[backend='Numba'-m=500-n=1000-p=500-coo]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=500-n=1000-p=500-coo]N/A
N/A12.3 ms
test_matmul[backend='Numba'-m=500-n=1000-p=200-coo]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=500-n=1000-p=200-coo]N/A
N/A6.5 ms
test_elemwise[backend='Numba'-side=100-rank=1-format='coo'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[backend='Numba'-side=100-rank=1-format='coo'-add]N/A
N/A3.5 ms
test_matmul[backend='Numba'-m=1000-n=500-p=1000-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=1000-n=500-p=1000-gcxs]N/A
N/A24.8 ms
test_matmul[backend='Numba'-m=500-n=200-p=1000-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=500-n=200-p=1000-gcxs]N/A
N/A11.2 ms
test_matmul[backend='Numba'-m=1000-n=200-p=500-coo]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=1000-n=200-p=500-coo]N/A
N/A8.3 ms
test_matmul[backend='Numba'-m=1000-n=1000-p=200-coo]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=1000-n=1000-p=200-coo]N/A
N/A10 ms
test_matmul[backend='Numba'-m=1000-n=200-p=1000-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=1000-n=200-p=1000-gcxs]N/A
N/A15.6 ms
test_matmul[backend='Numba'-m=1000-n=500-p=1000-coo]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=1000-n=500-p=1000-coo]N/A
N/A23.5 ms
test_elemwise[backend='Numba'-side=100-rank=2-format='coo'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[backend='Numba'-side=100-rank=2-format='coo'-mul]N/A
N/A3 ms
test_elemwise[backend='Numba'-side=100-rank=2-format='gcxs'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[backend='Numba'-side=100-rank=2-format='gcxs'-mul]N/A
N/A6.8 ms
test_matmul[backend='Numba'-m=1000-n=1000-p=1000-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=1000-n=1000-p=1000-gcxs]N/A
N/A27.8 ms
test_elemwise[backend='Numba'-side=100-rank=1-format='gcxs'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[backend='Numba'-side=100-rank=1-format='gcxs'-mul]N/A
N/A3.3 ms
test_elemwise[backend='Numba'-side=100-rank=3-format='coo'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[backend='Numba'-side=100-rank=3-format='coo'-mul]N/A
N/A9.6 ms
test_elemwise[backend='Numba'-side=100-rank=1-format='coo'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[backend='Numba'-side=100-rank=1-format='coo'-mul]N/A
N/A2.7 ms
test_matmul[backend='Numba'-m=1000-n=1000-p=500-coo]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=1000-n=1000-p=500-coo]N/A
N/A21.7 ms
test_elemwise[backend='Numba'-side=100-rank=3-format='gcxs'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[backend='Numba'-side=100-rank=3-format='gcxs'-mul]N/A
N/A16.9 ms
test_matmul[backend='Numba'-m=1000-n=500-p=200-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=1000-n=500-p=200-gcxs]N/A
N/A5.9 ms
test_elemwise[backend='Numba'-side=100-rank=2-format='gcxs'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[backend='Numba'-side=100-rank=2-format='gcxs'-add]N/A
N/A7.9 ms
test_elemwise[backend='Numba'-side=500-rank=1-format='gcxs'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[backend='Numba'-side=500-rank=1-format='gcxs'-mul]N/A
N/A3.3 ms
test_elemwise[backend='Numba'-side=100-rank=3-format='coo'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[backend='Numba'-side=100-rank=3-format='coo'-add]N/A
N/A22 ms
test_elemwise[backend='Numba'-side=100-rank=1-format='gcxs'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[backend='Numba'-side=100-rank=1-format='gcxs'-add]N/A
N/A4.1 ms
test_elemwise[backend='Numba'-side=100-rank=2-format='coo'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[backend='Numba'-side=100-rank=2-format='coo'-add]N/A
N/A4 ms
test_matmul[backend='Numba'-m=1000-n=500-p=500-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=1000-n=500-p=500-gcxs]N/A
N/A14.7 ms
test_matmul[backend='Numba'-m=1000-n=1000-p=1000-coo]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=1000-n=1000-p=1000-coo]N/A
N/A39.8 ms
test_elemwise[backend='Numba'-side=500-rank=2-format='coo'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[backend='Numba'-side=500-rank=2-format='coo'-mul]N/A
N/A4.4 ms
test_elemwise[backend='Numba'-side=1000-rank=1-format='coo'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[backend='Numba'-side=1000-rank=1-format='coo'-mul]N/A
N/A2.7 ms
test_matmul[backend='Numba'-m=1000-n=1000-p=500-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=1000-n=1000-p=500-gcxs]N/A
N/A22.6 ms
test_elemwise[backend='Numba'-side=100-rank=3-format='gcxs'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[backend='Numba'-side=100-rank=3-format='gcxs'-add]N/A
N/A32.9 ms
test_elemwise[backend='Numba'-side=500-rank=1-format='gcxs'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[backend='Numba'-side=500-rank=1-format='gcxs'-add]N/A
N/A4.2 ms
test_elemwise_broadcast[backend='Numba'-side=100-format='coo'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[backend='Numba'-side=100-format='coo'-mul]N/A
N/A3.2 ms
test_elemwise[backend='Numba'-side=500-rank=2-format='gcxs'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[backend='Numba'-side=500-rank=2-format='gcxs'-add]N/A
N/A12.9 ms
test_elemwise[backend='Numba'-side=1000-rank=1-format='coo'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[backend='Numba'-side=1000-rank=1-format='coo'-add]N/A
N/A3.5 ms
test_elemwise[backend='Numba'-side=500-rank=1-format='coo'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[backend='Numba'-side=500-rank=1-format='coo'-add]N/A
N/A3.5 ms
test_matmul[backend='Numba'-m=1000-n=200-p=500-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[backend='Numba'-m=1000-n=200-p=500-gcxs]N/A
N/A10.1 ms
test_elemwise_broadcast[backend='Numba'-side=100-format='coo'-add]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[backend='Numba'-side=100-format='coo'-add]N/A
N/A14.2 ms
test_elemwise[backend='Numba'-side=1000-rank=1-format='gcxs'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[backend='Numba'-side=1000-rank=1-format='gcxs'-mul]N/A
N/A3.3 ms
test_elemwise[backend='Numba'-side=500-rank=2-format='gcxs'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[backend='Numba'-side=500-rank=2-format='gcxs'-mul]N/A
N/A8.6 ms
test_elemwise[backend='Numba'-side=1000-rank=1-format='gcxs'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[backend='Numba'-side=1000-rank=1-format='gcxs'-add]N/A
N/A4.2 ms
test_elemwise[backend='Numba'-side=1000-rank=2-format='coo'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[backend='Numba'-side=1000-rank=2-format='coo'-mul]N/A
N/A8.9 ms
test_elemwise_broadcast[backend='Numba'-side=500-format='gcxs'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[backend='Numba'-side=500-format='gcxs'-mul]N/A
N/A20 ms
test_elemwise[backend='Numba'-side=1000-rank=2-format='gcxs'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[backend='Numba'-side=1000-rank=2-format='gcxs'-add]N/A
N/A28.7 ms
test_elemwise[backend='Numba'-side=1000-rank=2-format='gcxs'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[backend='Numba'-side=1000-rank=2-format='gcxs'-mul]N/A
N/A14.1 ms
test_elemwise[backend='Numba'-side=500-rank=1-format='coo'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[backend='Numba'-side=500-rank=1-format='coo'-mul]N/A
N/A2.7 ms
test_elemwise_broadcast[backend='Numba'-side=100-format='gcxs'-add]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[backend='Numba'-side=100-format='gcxs'-add]N/A
N/A22.3 ms
test_elemwise_broadcast[backend='Numba'-side=100-format='gcxs'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[backend='Numba'-side=100-format='gcxs'-mul]N/A
N/A7.6 ms
test_elemwise_broadcast[backend='Numba'-side=1000-format='coo'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[backend='Numba'-side=1000-format='coo'-mul]N/A
N/A76.2 ms
test_elemwise_broadcast[backend='Numba'-side=500-format='gcxs'-add]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[backend='Numba'-side=500-format='gcxs'-add]N/A
N/A2.6 s
test_elemwise[backend='Numba'-side=1000-rank=2-format='coo'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[backend='Numba'-side=1000-rank=2-format='coo'-add]N/A
N/A19.9 ms
test_index_scalar[backend='Numba'-side=500-rank=1-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_scalar[backend='Numba'-side=500-rank=1-format='gcxs']N/A
N/A637.1 µs
test_elemwise[backend='Numba'-side=500-rank=2-format='coo'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[backend='Numba'-side=500-rank=2-format='coo'-add]N/A
N/A7.9 ms
test_index_scalar[backend='Numba'-side=100-rank=1-format='coo']
benchmarks/test_benchmark_coo.py::test_index_scalar[backend='Numba'-side=100-rank=1-format='coo']N/A
N/A319.4 µs
test_elemwise_broadcast[backend='Numba'-side=1000-format='gcxs'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[backend='Numba'-side=1000-format='gcxs'-mul]N/A
N/A103.1 ms
test_elemwise_broadcast[backend='Numba'-side=1000-format='coo'-add]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[backend='Numba'-side=1000-format='coo'-add]N/A
N/A14.9 s
test_elemwise_broadcast[backend='Numba'-side=500-format='coo'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[backend='Numba'-side=500-format='coo'-mul]N/A
N/A12.7 ms
test_index_scalar[backend='Numba'-side=500-rank=2-format='coo']
benchmarks/test_benchmark_coo.py::test_index_scalar[backend='Numba'-side=500-rank=2-format='coo']N/A
N/A401.8 µs
test_index_scalar[backend='Numba'-side=1000-rank=2-format='coo']
benchmarks/test_benchmark_coo.py::test_index_scalar[backend='Numba'-side=1000-rank=2-format='coo']N/A
N/A401.1 µs
test_index_scalar[backend='Numba'-side=500-rank=1-format='coo']
benchmarks/test_benchmark_coo.py::test_index_scalar[backend='Numba'-side=500-rank=1-format='coo']N/A
N/A321.1 µs
test_index_scalar[backend='Numba'-side=100-rank=2-format='coo']
benchmarks/test_benchmark_coo.py::test_index_scalar[backend='Numba'-side=100-rank=2-format='coo']N/A
N/A401.3 µs
test_elemwise_broadcast[backend='Numba'-side=500-format='coo'-add]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[backend='Numba'-side=500-format='coo'-add]N/A
N/A1.7 s
test_index_scalar[backend='Numba'-side=100-rank=3-format='coo']
benchmarks/test_benchmark_coo.py::test_index_scalar[backend='Numba'-side=100-rank=3-format='coo']N/A
N/A482.2 µs
test_index_slice[backend='Numba'-side=500-rank=1-format='coo']
benchmarks/test_benchmark_coo.py::test_index_slice[backend='Numba'-side=500-rank=1-format='coo']N/A
N/A507.6 µs
test_index_slice[backend='Numba'-side=100-rank=3-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_slice[backend='Numba'-side=100-rank=3-format='gcxs']N/A
N/A3.5 ms
test_index_scalar[backend='Numba'-side=100-rank=1-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_scalar[backend='Numba'-side=100-rank=1-format='gcxs']N/A
N/A630.1 µs
test_index_scalar[backend='Numba'-side=1000-rank=1-format='coo']
benchmarks/test_benchmark_coo.py::test_index_scalar[backend='Numba'-side=1000-rank=1-format='coo']N/A
N/A320.7 µs
test_index_scalar[backend='Numba'-side=500-rank=2-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_scalar[backend='Numba'-side=500-rank=2-format='gcxs']N/A
N/A1.5 ms
test_index_slice[backend='Numba'-side=500-rank=2-format='coo']
benchmarks/test_benchmark_coo.py::test_index_slice[backend='Numba'-side=500-rank=2-format='coo']N/A
N/A925.1 µs
test_index_slice[backend='Numba'-side=100-rank=1-format='coo']
benchmarks/test_benchmark_coo.py::test_index_slice[backend='Numba'-side=100-rank=1-format='coo']N/A
N/A533.8 µs
test_index_scalar[backend='Numba'-side=100-rank=3-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_scalar[backend='Numba'-side=100-rank=3-format='gcxs']N/A
N/A1.6 ms
test_elemwise_broadcast[backend='Numba'-side=1000-format='gcxs'-add]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[backend='Numba'-side=1000-format='gcxs'-add]N/A
N/A22.4 s
test_index_slice[backend='Numba'-side=500-rank=1-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_slice[backend='Numba'-side=500-rank=1-format='gcxs']N/A
N/A860.5 µs
test_index_scalar[backend='Numba'-side=1000-rank=1-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_scalar[backend='Numba'-side=1000-rank=1-format='gcxs']N/A
N/A638.7 µs
test_index_slice[backend='Numba'-side=1000-rank=1-format='coo']
benchmarks/test_benchmark_coo.py::test_index_slice[backend='Numba'-side=1000-rank=1-format='coo']N/A
N/A536.5 µs
test_index_slice[backend='Numba'-side=1000-rank=2-format='coo']
benchmarks/test_benchmark_coo.py::test_index_slice[backend='Numba'-side=1000-rank=2-format='coo']N/A
N/A1.7 ms
test_index_slice[backend='Numba'-side=100-rank=3-format='coo']
benchmarks/test_benchmark_coo.py::test_index_slice[backend='Numba'-side=100-rank=3-format='coo']N/A
N/A1.4 ms
test_index_slice[backend='Numba'-side=100-rank=2-format='coo']
benchmarks/test_benchmark_coo.py::test_index_slice[backend='Numba'-side=100-rank=2-format='coo']N/A
N/A632 µs
test_index_scalar[backend='Numba'-side=1000-rank=2-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_scalar[backend='Numba'-side=1000-rank=2-format='gcxs']N/A
N/A1.5 ms
test_index_fancy[backend='Numba'-side=500-rank=2-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_fancy[backend='Numba'-side=500-rank=2-format='gcxs']N/A
N/A3.2 ms
test_index_scalar[backend='Numba'-side=100-rank=2-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_scalar[backend='Numba'-side=100-rank=2-format='gcxs']N/A
N/A1.5 ms
test_index_fancy[backend='Numba'-side=100-rank=1-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_fancy[backend='Numba'-side=100-rank=1-format='gcxs']N/A
N/A963.9 µs
test_index_slice[backend='Numba'-side=500-rank=2-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_slice[backend='Numba'-side=500-rank=2-format='gcxs']N/A
N/A2.6 ms
test_index_slice[backend='Numba'-side=100-rank=1-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_slice[backend='Numba'-side=100-rank=1-format='gcxs']N/A
N/A852.4 µs
test_index_fancy[backend='Numba'-side=100-rank=2-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_fancy[backend='Numba'-side=100-rank=2-format='gcxs']N/A
N/A2.2 ms
test_index_slice[backend='Numba'-side=1000-rank=1-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_slice[backend='Numba'-side=1000-rank=1-format='gcxs']N/A
N/A862.1 µs
test_index_slice[backend='Numba'-side=100-rank=2-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_slice[backend='Numba'-side=100-rank=2-format='gcxs']N/A
N/A3.1 ms
test_index_fancy[backend='Numba'-side=100-rank=2-format='coo']
benchmarks/test_benchmark_coo.py::test_index_fancy[backend='Numba'-side=100-rank=2-format='coo']N/A
N/A812 µs
test_index_slice[backend='Numba'-side=1000-rank=2-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_slice[backend='Numba'-side=1000-rank=2-format='gcxs']N/A
N/A4.2 ms
test_index_fancy[backend='Numba'-side=500-rank=1-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_fancy[backend='Numba'-side=500-rank=1-format='gcxs']N/A
N/A1.5 ms
test_index_fancy[backend='Numba'-side=1000-rank=1-format='coo']
benchmarks/test_benchmark_coo.py::test_index_fancy[backend='Numba'-side=1000-rank=1-format='coo']N/A
N/A1.7 ms
test_index_fancy[backend='Numba'-side=100-rank=3-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_fancy[backend='Numba'-side=100-rank=3-format='gcxs']N/A
N/A7.1 ms
test_gcxs_dot_ndarray[backend='Numba'-coo-m=200-n=500-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-coo-m=200-n=500-p=500]N/A
N/A4.5 ms
test_index_fancy[backend='Numba'-side=500-rank=2-format='coo']
benchmarks/test_benchmark_coo.py::test_index_fancy[backend='Numba'-side=500-rank=2-format='coo']N/A
N/A1.9 ms
test_index_fancy[backend='Numba'-side=100-rank=1-format='coo']
benchmarks/test_benchmark_coo.py::test_index_fancy[backend='Numba'-side=100-rank=1-format='coo']N/A
N/A948.4 µs
test_gcxs_dot_ndarray[backend='Numba'-coo-m=200-n=1000-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-coo-m=200-n=1000-p=500]N/A
N/A6.6 ms
test_index_fancy[backend='Numba'-side=100-rank=3-format='coo']
benchmarks/test_benchmark_coo.py::test_index_fancy[backend='Numba'-side=100-rank=3-format='coo']N/A
N/A3.6 ms
test_index_fancy[backend='Numba'-side=1000-rank=1-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_fancy[backend='Numba'-side=1000-rank=1-format='gcxs']N/A
N/A2 ms
test_gcxs_dot_ndarray[backend='Numba'-coo-m=500-n=500-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-coo-m=500-n=500-p=500]N/A
N/A6.8 ms
test_gcxs_dot_ndarray[backend='Numba'-coo-m=500-n=200-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-coo-m=500-n=200-p=500]N/A
N/A4.8 ms
test_gcxs_dot_ndarray[backend='Numba'-coo-m=200-n=200-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-coo-m=200-n=200-p=200]N/A
N/A2.1 ms
test_gcxs_dot_ndarray[backend='Numba'-coo-m=500-n=200-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-coo-m=500-n=200-p=1000]N/A
N/A8.3 ms
test_gcxs_dot_ndarray[backend='Numba'-coo-m=200-n=1000-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-coo-m=200-n=1000-p=1000]N/A
N/A12 ms
test_index_fancy[backend='Numba'-side=500-rank=1-format='coo']
benchmarks/test_benchmark_coo.py::test_index_fancy[backend='Numba'-side=500-rank=1-format='coo']N/A
N/A1.1 ms
test_gcxs_dot_ndarray[backend='Numba'-coo-m=200-n=200-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-coo-m=200-n=200-p=500]N/A
N/A3.1 ms
test_gcxs_dot_ndarray[backend='Numba'-coo-m=200-n=1000-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-coo-m=200-n=1000-p=200]N/A
N/A3.5 ms
test_gcxs_dot_ndarray[backend='Numba'-coo-m=500-n=1000-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-coo-m=500-n=1000-p=500]N/A
N/A9.9 ms
test_gcxs_dot_ndarray[backend='Numba'-coo-m=1000-n=1000-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-coo-m=1000-n=1000-p=500]N/A
N/A15.7 ms
test_gcxs_dot_ndarray[backend='Numba'-coo-m=1000-n=500-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-coo-m=1000-n=500-p=200]N/A
N/A5.2 ms
test_gcxs_dot_ndarray[backend='Numba'-coo-m=200-n=200-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-coo-m=200-n=200-p=1000]N/A
N/A4.8 ms
test_gcxs_dot_ndarray[backend='Numba'-coo-m=200-n=500-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-coo-m=200-n=500-p=200]N/A
N/A2.6 ms
test_gcxs_dot_ndarray[backend='Numba'-coo-m=500-n=500-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-coo-m=500-n=500-p=200]N/A
N/A3.6 ms
test_index_fancy[backend='Numba'-side=1000-rank=2-format='coo']
benchmarks/test_benchmark_coo.py::test_index_fancy[backend='Numba'-side=1000-rank=2-format='coo']N/A
N/A4.6 ms
test_gcxs_dot_ndarray[backend='Numba'-coo-m=1000-n=200-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-coo-m=1000-n=200-p=200]N/A
N/A3.9 ms
test_gcxs_dot_ndarray[backend='Numba'-coo-m=500-n=500-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-coo-m=500-n=500-p=1000]N/A
N/A12.2 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=200-n=200-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=200-n=200-p=200]N/A
N/A1.7 ms
test_gcxs_dot_ndarray[backend='Numba'-coo-m=500-n=200-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-coo-m=500-n=200-p=200]N/A
N/A2.8 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=200-n=200-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=200-n=200-p=500]N/A
N/A2.5 ms
test_gcxs_dot_ndarray[backend='Numba'-coo-m=500-n=1000-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-coo-m=500-n=1000-p=1000]N/A
N/A19.4 ms
test_gcxs_dot_ndarray[backend='Numba'-coo-m=1000-n=500-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-coo-m=1000-n=500-p=500]N/A
N/A10.7 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=200-n=200-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=200-n=200-p=1000]N/A
N/A4 ms
test_gcxs_dot_ndarray[backend='Numba'-coo-m=500-n=1000-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-coo-m=500-n=1000-p=200]N/A
N/A4.8 ms
test_gcxs_dot_ndarray[backend='Numba'-coo-m=1000-n=200-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-coo-m=1000-n=200-p=1000]N/A
N/A14.4 ms
test_gcxs_dot_ndarray[backend='Numba'-coo-m=1000-n=1000-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-coo-m=1000-n=1000-p=200]N/A
N/A7.1 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=200-n=500-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=200-n=500-p=1000]N/A
N/A5.8 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=200-n=500-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=200-n=500-p=500]N/A
N/A3.5 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=500-n=500-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=500-n=500-p=1000]N/A
N/A8.4 ms
test_gcxs_dot_ndarray[backend='Numba'-coo-m=1000-n=500-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-coo-m=1000-n=500-p=1000]N/A
N/A21.3 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=200-n=500-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=200-n=500-p=200]N/A
N/A2.1 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=500-n=200-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=500-n=200-p=200]N/A
N/A2.2 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=1000-n=500-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=1000-n=500-p=200]N/A
N/A3.4 ms
test_gcxs_dot_ndarray[backend='Numba'-coo-m=1000-n=1000-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-coo-m=1000-n=1000-p=1000]N/A
N/A33.5 ms
test_index_fancy[backend='Numba'-side=1000-rank=2-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_fancy[backend='Numba'-side=1000-rank=2-format='gcxs']N/A
N/A6.5 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=500-n=1000-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=500-n=1000-p=200]N/A
N/A3.2 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=500-n=500-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=500-n=500-p=500]N/A
N/A4.7 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=200-n=1000-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=200-n=1000-p=1000]N/A
N/A9 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=500-n=1000-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=500-n=1000-p=1000]N/A
N/A12.4 ms
test_gcxs_dot_ndarray[backend='Numba'-coo-m=1000-n=200-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-coo-m=1000-n=200-p=500]N/A
N/A7.7 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=500-n=200-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=500-n=200-p=1000]N/A
N/A6.4 ms
test_gcxs_dot_ndarray[backend='Numba'-coo-m=200-n=500-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-coo-m=200-n=500-p=1000]N/A
N/A7.5 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=1000-n=200-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=1000-n=200-p=1000]N/A
N/A11 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=500-n=1000-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=500-n=1000-p=500]N/A
N/A6.3 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=200-n=1000-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=200-n=1000-p=500]N/A
N/A5 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=200-n=200-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=200-n=200-p=200]N/A
N/A1.7 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=200-n=1000-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=200-n=1000-p=200]N/A
N/A2.7 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=1000-n=200-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=1000-n=200-p=500]N/A
N/A5.9 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=200-n=200-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=200-n=200-p=500]N/A
N/A2.5 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=1000-n=200-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=1000-n=200-p=200]N/A
N/A3 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=200-n=1000-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=200-n=1000-p=1000]N/A
N/A9 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=1000-n=1000-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=1000-n=1000-p=200]N/A
N/A4.1 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=500-n=200-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=500-n=200-p=500]N/A
N/A3.8 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=1000-n=500-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=1000-n=500-p=500]N/A
N/A6.9 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=1000-n=1000-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=1000-n=1000-p=500]N/A
N/A8.6 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=500-n=500-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=500-n=500-p=200]N/A
N/A2.6 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=200-n=500-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=200-n=500-p=500]N/A
N/A3.5 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=1000-n=1000-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=1000-n=1000-p=1000]N/A
N/A19.8 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=1000-n=1000-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=1000-n=1000-p=500]N/A
N/A8.7 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=200-n=1000-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=200-n=1000-p=500]N/A
N/A5 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=500-n=200-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=500-n=200-p=1000]N/A
N/A6.4 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=200-n=200-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=200-n=200-p=1000]N/A
N/A4 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=500-n=200-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=500-n=200-p=200]N/A
N/A2.2 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=500-n=200-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=500-n=200-p=500]N/A
N/A3.8 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=200-n=500-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=200-n=500-p=1000]N/A
N/A5.8 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=500-n=500-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=500-n=500-p=200]N/A
N/A2.6 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=500-n=500-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=500-n=500-p=1000]N/A
N/A8.4 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=500-n=500-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=500-n=500-p=500]N/A
N/A4.7 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=500-n=1000-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=500-n=1000-p=200]N/A
N/A3.2 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=1000-n=200-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=1000-n=200-p=200]N/A
N/A3 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=1000-n=500-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-0-axis-m=1000-n=500-p=1000]N/A
N/A13.8 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=200-n=500-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=200-n=500-p=200]N/A
N/A2.1 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=1000-n=500-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=1000-n=500-p=200]N/A
N/A3.4 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=1000-n=1000-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=1000-n=1000-p=1000]N/A
N/A19.1 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=500-n=1000-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=500-n=1000-p=500]N/A
N/A6.3 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=1000-n=200-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=1000-n=200-p=500]N/A
N/A5.8 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=200-n=1000-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=200-n=1000-p=200]N/A
N/A2.7 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=500-n=1000-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=500-n=1000-p=1000]N/A
N/A12.7 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=1000-n=1000-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=1000-n=1000-p=200]N/A
N/A4.1 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=1000-n=500-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=1000-n=500-p=500]N/A
N/A6.9 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=1000-n=200-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=1000-n=200-p=1000]N/A
N/A11 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=20-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=20-q=10-ndarray]N/A
N/A1.7 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=50-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=50-q=50-ndarray]N/A
N/A3 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=50-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=50-q=10-COO]N/A
N/A2.8 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=50-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=50-q=50-ndarray]N/A
N/A2.2 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=50-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=50-q=10-ndarray]N/A
N/A1.5 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=20-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=20-q=50-ndarray]N/A
N/A1.7 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=20-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=20-q=10-COO]N/A
N/A2.5 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=50-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=50-q=50-COO]N/A
N/A6.9 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=20-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=20-q=10-COO]N/A
N/A2.9 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=20-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=20-q=10-COO]N/A
N/A3.5 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=20-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=20-q=50-COO]N/A
N/A3.3 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=50-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=50-q=10-COO]N/A
N/A3.1 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=20-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=20-q=50-COO]N/A
N/A5.7 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=20-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=20-q=50-ndarray]N/A
N/A2.1 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=50-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=50-q=50-ndarray]N/A
N/A5.3 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=20-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=20-q=10-ndarray]N/A
N/A2 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=20-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=20-q=50-ndarray]N/A
N/A3 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=50-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=50-q=50-COO]N/A
N/A17.4 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=50-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=50-q=10-COO]N/A
N/A5.3 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=20-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=20-q=10-ndarray]N/A
N/A1.5 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=20-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=20-q=50-ndarray]N/A
N/A2.8 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=50-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=50-q=10-ndarray]N/A
N/A1.7 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=50-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=50-q=10-ndarray]N/A
N/A2.2 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=50-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=50-q=50-COO]N/A
N/A5.1 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=20-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=20-q=50-COO]N/A
N/A8.2 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=20-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=20-q=50-COO]N/A
N/A4.1 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=20-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=20-q=10-COO]N/A
N/A2.7 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=50-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=50-q=50-ndarray]N/A
N/A9.3 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=50-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=50-q=10-ndarray]N/A
N/A3 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=20-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=20-q=10-ndarray]N/A
N/A1.5 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=20-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=20-q=10-COO]N/A
N/A2.6 ms
test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=1000-n=500-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[backend='Numba'-gcxs-1-axis-m=1000-n=500-p=1000]N/A
N/A13.9 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=20-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=20-q=10-ndarray]N/A
N/A2.5 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=20-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=20-q=50-COO]N/A
N/A3 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=20-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=20-q=10-COO]N/A
N/A2.8 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=50-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=50-q=50-COO]N/A
N/A10.9 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=50-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=50-q=10-COO]N/A
N/A2.8 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=50-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=50-q=10-ndarray]N/A
N/A2.8 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=50-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=50-q=50-COO]N/A
N/A3.5 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=50-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=50-q=10-COO]N/A
N/A4 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=20-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=20-q=50-ndarray]N/A
N/A4.6 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=20-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=20-q=50-COO]N/A
N/A3.3 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=20-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=20-q=10-ndarray]N/A
N/A2.6 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=50-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=50-q=10-ndarray]N/A
N/A2.6 ms
test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=50-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=50-q=50-ndarray]N/A
N/A2.3 ms
test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=50-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=50-q=10-ndarray]N/A
N/A1.7 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=50-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=50-q=50-ndarray]N/A
N/A3.3 ms
test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=50-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=50-q=50-COO]N/A
N/A3 ms
test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=50-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=50-q=10-ndarray]N/A
N/A1.6 ms
test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=20-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=20-q=50-ndarray]N/A
N/A2.1 ms
test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=50-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=50-q=50-COO]N/A
N/A4 ms
test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=50-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=50-q=10-COO]N/A
N/A2.2 ms
test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=20-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=20-q=10-ndarray]N/A
N/A1.5 ms
test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=20-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=20-q=50-COO]N/A
N/A2.2 ms
test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=20-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=20-q=10-COO]N/A
N/A1.9 ms
test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=20-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=20-q=10-COO]N/A
N/A2.1 ms
test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=20-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=20-q=50-ndarray]N/A
N/A3.2 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=50-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=50-q=50-ndarray]N/A
N/A4.1 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=20-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=20-q=50-COO]N/A
N/A4.2 ms
test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=50-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=50-q=50-ndarray]N/A
N/A3.2 ms
test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=20-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=20-q=10-ndarray]N/A
N/A1.7 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=20-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=20-q=50-ndarray]N/A
N/A3.1 ms
test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=50-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=50-q=10-ndarray]N/A
N/A2.3 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=50-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=50-q=50-COO]N/A
N/A4.3 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=50-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=50-q=10-COO]N/A
N/A3 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=20-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=20-q=50-ndarray]N/A
N/A4 ms
test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=50-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=50-q=50-ndarray]N/A
N/A5.9 ms
test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=50-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=50-q=10-COO]N/A
N/A2 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=20-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=20-q=10-COO]N/A
N/A2.9 ms
test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=50-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=50-q=50-COO]N/A
N/A6.8 ms
test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=20-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=20-q=50-COO]N/A
N/A2.6 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=50-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=50-q=10-ndarray]N/A
N/A4.1 ms
test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=20-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=20-q=10-COO]N/A
N/A2.5 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=50-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=50-q=50-ndarray]N/A
N/A6.3 ms
test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=20-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=20-q=10-ndarray]N/A
N/A2.1 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=20-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=20-q=10-ndarray]N/A
N/A2.7 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=50-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=50-q=10-COO]N/A
N/A3.5 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=50-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=50-q=10-ndarray]N/A
N/A3.3 ms
test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=20-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=20-q=50-ndarray]N/A
N/A5 ms
test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=20-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=20-q=50-COO]N/A
N/A3.8 ms
test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=50-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=50-q=50-COO]N/A
N/A11.6 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=20-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=20-q=50-COO]N/A
N/A5.8 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=20-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=20-q=10-COO]N/A
N/A3.3 ms
test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=20-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=20-q=10-COO]N/A
N/A1.8 ms
test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=50-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=50-q=10-ndarray]N/A
N/A3.2 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=50-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=50-q=50-COO]N/A
N/A6.6 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=50-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=50-q=50-COO]N/A
N/A10.5 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=50-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=50-q=50-ndarray]N/A
N/A10.3 ms
test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=50-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=50-q=50-ndarray]N/A
N/A10.8 ms
test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=20-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=20-q=50-ndarray]N/A
N/A1.7 ms
test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=20-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=20-q=50-COO]N/A
N/A5.5 ms
test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=50-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=50-q=10-COO]N/A
N/A2.7 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=20-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=20-q=50-ndarray]N/A
N/A5.6 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=50-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=50-q=10-COO]N/A
N/A4.3 ms
test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=50-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=50-q=10-COO]N/A
N/A3.7 ms
test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=20-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=20-q=10-ndarray]N/A
N/A3.1 ms
test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=20-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[backend='Numba'-left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=20-q=10-ndarray]N/A
N/A1.5 ms
Passed
test_elemwise[f=<built-in function add>-backend='Numba'-side=1000]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function add>-backend='Numba'-side=1000]+6%
5.9 ms5.6 ms
test_elemwise[f=<built-in function add>-backend='Numba'-side=500]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function add>-backend='Numba'-side=500]+3%
4.3 ms4.2 ms
test_elemwise[f=<built-in function add>-backend='Numba'-side=100]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function add>-backend='Numba'-side=100]+2%
3.8 ms3.8 ms
test_elemwise[f=<built-in function gt>-backend='Finch'-side=100]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function gt>-backend='Finch'-side=100]+1%
712.1 µs706.5 µs
test_elemwise[f=<built-in function mul>-backend='Finch'-side=100]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function mul>-backend='Finch'-side=100]+1%
698.4 µs694 µs
test_elemwise[f=<built-in function gt>-backend='Finch'-side=500]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function gt>-backend='Finch'-side=500]+1%
882.2 µs877 µs
test_elemwise[f=<built-in function add>-backend='Finch'-side=100]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function add>-backend='Finch'-side=100]0%
719.9 µs717.3 µs
test_elemwise[f=<built-in function mul>-backend='Finch'-side=500]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function mul>-backend='Finch'-side=500]0%
715.6 µs713 µs
test_elemwise[f=<built-in function gt>-backend='Finch'-side=1000]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function gt>-backend='Finch'-side=1000]0%
1.4 ms1.4 ms
test_elemwise[f=<built-in function mul>-backend='Numba'-side=100]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function mul>-backend='Numba'-side=100]0%
2.8 ms2.8 ms
test_elemwise[f=<built-in function mul>-backend='Numba'-side=500]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function mul>-backend='Numba'-side=500]0%
3 ms3 ms
test_elemwise[f=<built-in function mul>-backend='Finch'-side=1000]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function mul>-backend='Finch'-side=1000]0%
737.7 µs736.6 µs
test_elemwise[f=<built-in function mul>-backend='Numba'-side=1000]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function mul>-backend='Numba'-side=1000]0%
3.5 ms3.5 ms
test_elemwise[f=<built-in function add>-backend='Finch'-side=1000]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function add>-backend='Finch'-side=1000]0%
1.5 ms1.5 ms
test_elemwise[f=<built-in function gt>-backend='Numba'-side=100]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function gt>-backend='Numba'-side=100]0%
3 ms3 ms
test_elemwise[f=<built-in function add>-backend='Finch'-side=500]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function add>-backend='Finch'-side=500]0%
883.4 µs883.6 µs
test_elemwise[f=<built-in function mul>-backend='SciPy'-side=500]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function mul>-backend='SciPy'-side=500]0%
618.8 µs619 µs
test_elemwise[f=<built-in function gt>-backend='SciPy'-side=100]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function gt>-backend='SciPy'-side=100]0%
552.7 µs552.8 µs
test_elemwise[f=<built-in function gt>-backend='Numba'-side=1000]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function gt>-backend='Numba'-side=1000]0%
3.8 ms3.8 ms
test_elemwise[f=<built-in function gt>-backend='SciPy'-side=1000]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function gt>-backend='SciPy'-side=1000]0%
611.6 µs611.8 µs
test_elemwise[f=<built-in function mul>-backend='SciPy'-side=100]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function mul>-backend='SciPy'-side=100]0%
597 µs597.5 µs
test_elemwise[f=<built-in function gt>-backend='SciPy'-side=500]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function gt>-backend='SciPy'-side=500]0%
567.9 µs568.4 µs
test_elemwise[f=<built-in function add>-backend='SciPy'-side=100]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function add>-backend='SciPy'-side=100]0%
556.9 µs557.6 µs
test_elemwise[f=<built-in function gt>-backend='Numba'-side=500]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function gt>-backend='Numba'-side=500]0%
3.2 ms3.2 ms
test_elemwise[f=<built-in function mul>-backend='SciPy'-side=1000]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function mul>-backend='SciPy'-side=1000]0%
677.4 µs678.3 µs
test_elemwise[f=<built-in function add>-backend='SciPy'-side=500]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function add>-backend='SciPy'-side=500]0%
580.3 µs582.6 µs
test_elemwise[f=<built-in function add>-backend='SciPy'-side=1000]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function add>-backend='SciPy'-side=1000]-1%
612.8 µs620.6 µs
Commits
Click on a commit to change the comparison rangeBase
main
47b246b
+0.5%
wip
2b25d4e
1 year ago
by DeaMariaLeon-0.66%
[pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
ab21082
1 year ago
by pre-commit-ci[bot]+0.34%
After pre-commit
f828ba9
1 year ago
by DeaMariaLeon+0.26%
Merge remote-tracking branch 'upstream/main' into bench2
f822c24
1 year ago
by DeaMariaLeon