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feat: `__getitem__` logic for MLIR backend
(
#779
)
Comparing
getitem-func
(
fbd4586
) with
main
(
db60537
)
-55%
IMPROVEMENTS
0
REGRESSIONS
2
UNTOUCHED
338
NEW
0
DROPPED
0
IGNORED
0
Benchmarks
Failed
test_index_fancy[side=100-rank=1-format='coo']
Regression
benchmarks/test_benchmark_coo.py::test_index_fancy[side=100-rank=1-format='coo']
-55%
643.5 µs
1,418.3 µs
test_index_slice[side=100-rank=2-format='gcxs']
Regression
benchmarks/test_benchmark_coo.py::test_index_slice[side=100-rank=2-format='gcxs']
-20%
2.2 ms
2.7 ms
Passed
test_index_fancy[side=100-rank=3-format='coo']
benchmarks/test_benchmark_coo.py::test_index_fancy[side=100-rank=3-format='coo']
+2%
3.6 ms
3.5 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%
4 ms
3.9 ms
test_index_fancy[side=1000-rank=2-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_fancy[side=1000-rank=2-format='gcxs']
+2%
6.6 ms
6.5 ms
test_index_fancy[side=100-rank=3-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_fancy[side=100-rank=3-format='gcxs']
+1%
7.2 ms
7.1 ms
test_tensordot[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[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=20-q=50-ndarray]
+1%
5.6 ms
5.6 ms
test_tensordot[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[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=20-q=50-COO]
+1%
5.9 ms
5.8 ms
test_index_fancy[side=1000-rank=2-format='coo']
benchmarks/test_benchmark_coo.py::test_index_fancy[side=1000-rank=2-format='coo']
+1%
4.6 ms
4.5 ms
test_matmul[m=200-n=1000-p=1000-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=1000-p=1000-gcxs]
+1%
8 ms
7.9 ms
test_tensordot[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[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=50-q=50-COO]
+1%
3 ms
2.9 ms
test_elemwise_broadcast[side=100-format='gcxs'-add]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=100-format='gcxs'-add]
+1%
22.3 ms
22.1 ms
test_matmul[m=500-n=1000-p=500-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=1000-p=500-coo]
+1%
12.3 ms
12.2 ms
test_index_scalar[side=500-rank=2-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=500-rank=2-format='gcxs']
+1%
1.5 ms
1.5 ms
test_index_scalar[side=1000-rank=2-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=1000-rank=2-format='gcxs']
+1%
1.5 ms
1.5 ms
test_index_scalar[side=100-rank=2-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=100-rank=2-format='gcxs']
+1%
1.5 ms
1.5 ms
test_tensordot[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[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=20-q=50-ndarray]
+1%
4.5 ms
4.5 ms
test_matmul[m=1000-n=1000-p=200-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=1000-p=200-coo]
+1%
10 ms
9.9 ms
test_matmul[m=500-n=500-p=500-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=500-p=500-coo]
+1%
8.1 ms
8 ms
test_index_scalar[side=100-rank=3-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=100-rank=3-format='gcxs']
+1%
1.6 ms
1.6 ms
test_tensordot[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[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=50-q=50-COO]
+1%
4 ms
4 ms
test_index_slice[side=1000-rank=2-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_slice[side=1000-rank=2-format='gcxs']
+1%
4.2 ms
4.2 ms
test_matmul[m=500-n=200-p=200-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=200-p=200-gcxs]
+1%
6 ms
6 ms
test_elemwise_broadcast[side=100-format='coo'-add]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=100-format='coo'-add]
+1%
14.2 ms
14.1 ms
test_elemwise[side=100-rank=2-format='gcxs'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=2-format='gcxs'-mul]
+1%
6.9 ms
6.8 ms
test_matmul[m=500-n=500-p=200-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=500-p=200-coo]
+1%
4.6 ms
4.6 ms
test_matmul[m=200-n=200-p=200-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=200-p=200-gcxs]
+1%
3.1 ms
3.1 ms
test_matmul[m=200-n=500-p=200-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=500-p=200-gcxs]
+1%
6.2 ms
6.2 ms
test_elemwise_broadcast[side=100-format='gcxs'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=100-format='gcxs'-mul]
+1%
7.6 ms
7.5 ms
test_elemwise[side=100-rank=3-format='coo'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=3-format='coo'-add]
+1%
22.1 ms
22 ms
test_index_fancy[side=100-rank=2-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_fancy[side=100-rank=2-format='gcxs']
+1%
2.2 ms
2.2 ms
test_elemwise[side=100-rank=2-format='gcxs'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=2-format='gcxs'-add]
+1%
8 ms
7.9 ms
test_matmul[m=1000-n=200-p=200-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=200-p=200-gcxs]
+1%
6.9 ms
6.9 ms
test_matmul[m=500-n=500-p=200-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=500-p=200-gcxs]
0%
6.9 ms
6.9 ms
test_elemwise[side=500-rank=2-format='gcxs'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[side=500-rank=2-format='gcxs'-mul]
0%
8.7 ms
8.6 ms
test_elemwise[side=500-rank=2-format='gcxs'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[side=500-rank=2-format='gcxs'-add]
0%
12.9 ms
12.9 ms
test_matmul[m=500-n=200-p=500-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=200-p=500-gcxs]
0%
8 ms
7.9 ms
test_index_slice[side=500-rank=2-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_slice[side=500-rank=2-format='gcxs']
0%
2.6 ms
2.6 ms
test_matmul[m=200-n=200-p=500-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=200-p=500-gcxs]
0%
3.8 ms
3.8 ms
test_tensordot[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[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=20-q=10-ndarray]
0%
2.5 ms
2.5 ms
test_elemwise[side=100-rank=1-format='coo'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=1-format='coo'-add]
0%
3.5 ms
3.5 ms
test_index_fancy[side=500-rank=2-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_fancy[side=500-rank=2-format='gcxs']
0%
3.2 ms
3.2 ms
test_matmul[m=200-n=500-p=500-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=500-p=500-gcxs]
0%
4.4 ms
4.4 ms
test_elemwise[side=1000-rank=1-format='gcxs'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[side=1000-rank=1-format='gcxs'-mul]
0%
3.3 ms
3.3 ms
test_index_fancy[side=100-rank=2-format='coo']
benchmarks/test_benchmark_coo.py::test_index_fancy[side=100-rank=2-format='coo']
0%
814.3 µs
811.1 µs
test_elemwise[side=500-rank=1-format='coo'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[side=500-rank=1-format='coo'-add]
0%
3.6 ms
3.5 ms
test_matmul[m=200-n=200-p=200-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=200-p=200-coo]
0%
3 ms
3 ms
test_elemwise[side=100-rank=1-format='coo'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=1-format='coo'-mul]
0%
2.7 ms
2.7 ms
test_matmul[m=200-n=1000-p=500-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=1000-p=500-gcxs]
0%
12.3 ms
12.3 ms
test_elemwise[side=500-rank=1-format='coo'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[side=500-rank=1-format='coo'-mul]
0%
2.7 ms
2.7 ms
test_tensordot[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[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=20-q=10-ndarray]
0%
2.6 ms
2.6 ms
test_matmul[m=500-n=1000-p=200-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=1000-p=200-gcxs]
0%
9.1 ms
9.1 ms
test_tensordot[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[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=20-q=10-COO]
0%
2.8 ms
2.8 ms
test_elemwise[side=100-rank=3-format='gcxs'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=3-format='gcxs'-add]
0%
33 ms
32.9 ms
test_elemwise[side=1000-rank=1-format='coo'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[side=1000-rank=1-format='coo'-add]
0%
3.6 ms
3.5 ms
test_matmul[m=200-n=200-p=1000-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=200-p=1000-gcxs]
0%
4.7 ms
4.6 ms
test_elemwise[side=100-rank=2-format='coo'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=2-format='coo'-add]
0%
4 ms
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 ms
2.8 ms
test_elemwise[side=1000-rank=1-format='gcxs'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[side=1000-rank=1-format='gcxs'-add]
0%
4.2 ms
4.1 ms
test_elemwise[side=1000-rank=1-format='coo'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[side=1000-rank=1-format='coo'-mul]
0%
2.7 ms
2.7 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 ms
3 ms
test_elemwise[side=100-rank=1-format='gcxs'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=1-format='gcxs'-add]
0%
4.1 ms
4.1 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 ms
3 ms
test_matmul[m=1000-n=200-p=500-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=200-p=500-gcxs]
0%
10.1 ms
10.1 ms
test_elemwise_broadcast[side=100-format='coo'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=100-format='coo'-mul]
0%
3.2 ms
3.2 ms
test_elemwise[side=1000-rank=2-format='gcxs'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[side=1000-rank=2-format='gcxs'-mul]
0%
14.2 ms
14.1 ms
test_tensordot[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[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=20-q=10-ndarray]
0%
2.7 ms
2.7 ms
test_matmul[m=500-n=200-p=200-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=200-p=200-coo]
0%
3.5 ms
3.5 ms
test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=200-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=200-p=200]
0%
1.7 ms
1.7 ms
test_matmul[m=500-n=200-p=1000-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=200-p=1000-gcxs]
0%
11.2 ms
11.2 ms
test_matmul[m=500-n=500-p=500-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=500-p=500-gcxs]
0%
6.7 ms
6.7 ms
test_matmul[m=200-n=500-p=200-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=500-p=200-coo]
0%
3.5 ms
3.5 ms
test_matmul[m=1000-n=500-p=200-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=500-p=200-gcxs]
0%
5.9 ms
5.9 ms
test_matmul[m=200-n=200-p=500-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=200-p=500-coo]
0%
3.9 ms
3.9 ms
test_tensordot[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[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=20-q=10-COO]
0%
2.9 ms
2.9 ms
test_elemwise[side=100-rank=2-format='coo'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=2-format='coo'-mul]
0%
3 ms
3 ms
test_matmul[m=1000-n=500-p=1000-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=500-p=1000-gcxs]
0%
24.8 ms
24.8 ms
test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=500-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=500-p=1000]
0%
13.9 ms
13.8 ms
test_matmul[m=1000-n=500-p=500-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=500-p=500-gcxs]
0%
14.8 ms
14.7 ms
test_tensordot[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[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=20-q=50-COO]
0%
8.2 ms
8.2 ms
test_elemwise[side=100-rank=1-format='gcxs'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=1-format='gcxs'-mul]
0%
3.3 ms
3.3 ms
test_tensordot[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[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=20-q=50-ndarray]
0%
2.8 ms
2.8 ms
test_elemwise[side=500-rank=1-format='gcxs'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[side=500-rank=1-format='gcxs'-add]
0%
4.2 ms
4.1 ms
test_index_fancy[side=100-rank=1-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_fancy[side=100-rank=1-format='gcxs']
0%
964.3 µs
961.7 µs
test_tensordot[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[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=20-q=10-COO]
0%
2.7 ms
2.7 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%
679.8 µs
678 µs
test_tensordot[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[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=20-q=10-COO]
0%
2.6 ms
2.6 ms
test_elemwise[side=500-rank=1-format='gcxs'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[side=500-rank=1-format='gcxs'-mul]
0%
3.3 ms
3.3 ms
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%
597.4 µs
595.9 µs
test_tensordot[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[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=50-q=50-COO]
0%
3.5 ms
3.5 ms
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 ms
3.8 ms
test_elemwise[side=100-rank=3-format='gcxs'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=3-format='gcxs'-mul]
0%
17 ms
16.9 ms
test_tensordot[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[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=50-q=10-COO]
0%
2.7 ms
2.7 ms
test_tensordot[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[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=50-q=10-COO]
0%
4 ms
4 ms
test_tensordot[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[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=50-q=10-COO]
0%
3.5 ms
3.5 ms
test_tensordot[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[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=50-q=10-ndarray]
0%
3.3 ms
3.3 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=200-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=200-p=200]
0%
1.7 ms
1.7 ms
test_tensordot[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[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=20-q=10-ndarray]
0%
3.1 ms
3.1 ms
test_tensordot[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[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=50-q=10-COO]
0%
2.8 ms
2.8 ms
test_index_slice[side=100-rank=3-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_slice[side=100-rank=3-format='gcxs']
0%
3.5 ms
3.5 ms
test_tensordot[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[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=50-q=10-COO]
0%
3 ms
3 ms
test_elemwise[side=500-rank=2-format='coo'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[side=500-rank=2-format='coo'-mul]
0%
4.4 ms
4.4 ms
test_matmul[m=500-n=200-p=500-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=200-p=500-coo]
0%
5.5 ms
5.5 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%
611.8 µs
610.6 µs
test_tensordot[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[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=20-q=10-COO]
0%
2.9 ms
2.9 ms
test_tensordot[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[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=50-q=50-ndarray]
0%
3.3 ms
3.3 ms
test_tensordot[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[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=50-q=10-COO]
0%
4.3 ms
4.3 ms
test_matmul[m=200-n=1000-p=200-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=1000-p=200-coo]
0%
4.3 ms
4.3 ms
test_tensordot[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[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=20-q=50-COO]
0%
3.4 ms
3.4 ms
test_matmul[m=1000-n=1000-p=200-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=1000-p=200-gcxs]
0%
11.3 ms
11.3 ms
test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=500-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=500-p=200]
0%
2.1 ms
2.1 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=500-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=500-p=200]
0%
2.1 ms
2.1 ms
test_index_slice[side=500-rank=1-format='coo']
benchmarks/test_benchmark_coo.py::test_index_slice[side=500-rank=1-format='coo']
0%
507.9 µs
506.9 µs
test_matmul[m=200-n=200-p=1000-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=200-p=1000-coo]
0%
5.1 ms
5.1 ms
test_index_slice[side=100-rank=2-format='coo']
benchmarks/test_benchmark_coo.py::test_index_slice[side=100-rank=2-format='coo']
0%
633.2 µs
631.9 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%
567.5 µs
566.5 µs
test_matmul[m=1000-n=200-p=200-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=200-p=200-coo]
0%
4.2 ms
4.2 ms
test_gcxs_dot_ndarray[coo-m=1000-n=500-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=1000-n=500-p=1000]
0%
21.3 ms
21.3 ms
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%
552.8 µs
551.8 µs
test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=500-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=500-p=200]
0%
2.6 ms
2.6 ms
test_matmul[m=500-n=500-p=1000-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=500-p=1000-gcxs]
0%
10.4 ms
10.4 ms
test_matmul[m=1000-n=200-p=1000-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=200-p=1000-gcxs]
0%
15.5 ms
15.5 ms
test_tensordot[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[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=20-q=50-COO]
0%
4.3 ms
4.2 ms
test_tensordot[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[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=20-q=50-COO]
0%
3 ms
3 ms
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%
619 µs
618 µs
test_tensordot[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[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=20-q=10-COO]
0%
1.9 ms
1.9 ms
test_elemwise[side=1000-rank=2-format='gcxs'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[side=1000-rank=2-format='gcxs'-add]
0%
28.8 ms
28.8 ms
test_tensordot[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[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=20-q=10-ndarray]
0%
1.5 ms
1.5 ms
test_matmul[m=1000-n=500-p=200-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=500-p=200-coo]
0%
6.4 ms
6.4 ms
test_index_fancy[side=500-rank=1-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_fancy[side=500-rank=1-format='gcxs']
0%
1.4 ms
1.4 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=1000-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=1000-p=500]
0%
8.7 ms
8.7 ms
test_matmul[m=500-n=200-p=1000-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=200-p=1000-coo]
0%
8.3 ms
8.2 ms
test_tensordot[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[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=50-q=10-ndarray]
0%
1.6 ms
1.6 ms
test_tensordot[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[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=20-q=10-ndarray]
0%
1.5 ms
1.5 ms
test_tensordot[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[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=20-q=10-COO]
0%
3.3 ms
3.3 ms
test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=500-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=500-p=200]
0%
2.6 ms
2.6 ms
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]
0%
694 µs
693 µs
test_tensordot[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[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=50-q=10-COO]
0%
2.8 ms
2.8 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=200-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=200-p=200]
0%
2.2 ms
2.2 ms
test_tensordot[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[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=20-q=10-COO]
0%
2.1 ms
2.1 ms
test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=1000-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=1000-p=200]
0%
2.7 ms
2.7 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=1000-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=1000-p=1000]
0%
9 ms
9 ms
test_tensordot[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[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=20-q=10-COO]
0%
2.5 ms
2.5 ms
test_index_slice[side=500-rank=1-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_slice[side=500-rank=1-format='gcxs']
0%
859.4 µs
858.2 µs
test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=1000-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=1000-p=1000]
0%
12.4 ms
12.4 ms
test_matmul[m=1000-n=200-p=500-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=200-p=500-coo]
0%
8.3 ms
8.3 ms
test_matmul[m=500-n=1000-p=200-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=1000-p=200-coo]
0%
6.5 ms
6.5 ms
test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=200-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=200-p=500]
0%
2.6 ms
2.5 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=500-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=500-p=200]
0%
3.4 ms
3.4 ms
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%
713.3 µs
712.3 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 ms
3.5 ms
test_gcxs_dot_ndarray[coo-m=200-n=500-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=200-n=500-p=200]
0%
2.7 ms
2.6 ms
test_elemwise[side=1000-rank=2-format='coo'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[side=1000-rank=2-format='coo'-mul]
0%
8.9 ms
8.9 ms
test_tensordot[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[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=50-q=10-ndarray]
0%
4.1 ms
4.1 ms
test_index_slice[side=100-rank=3-format='coo']
benchmarks/test_benchmark_coo.py::test_index_slice[side=100-rank=3-format='coo']
0%
1.4 ms
1.4 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=1000-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=1000-p=200]
0%
2.7 ms
2.7 ms
test_tensordot[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[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=50-q=10-ndarray]
0%
2.8 ms
2.8 ms
test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=200-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=200-p=200]
0%
3 ms
3 ms
test_matmul[m=200-n=1000-p=500-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=1000-p=500-coo]
0%
6.9 ms
6.8 ms
test_index_fancy[side=500-rank=2-format='coo']
benchmarks/test_benchmark_coo.py::test_index_fancy[side=500-rank=2-format='coo']
0%
1.9 ms
1.9 ms
test_tensordot[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[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=20-q=10-COO]
0%
3.5 ms
3.5 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=200-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=200-p=500]
0%
2.6 ms
2.5 ms
test_gcxs_dot_ndarray[coo-m=1000-n=1000-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=1000-n=1000-p=200]
0%
7.1 ms
7.1 ms
test_tensordot[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[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=50-q=50-ndarray]
0%
4.1 ms
4.1 ms
test_matmul[m=1000-n=500-p=1000-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=500-p=1000-coo]
0%
23.6 ms
23.5 ms
test_index_fancy[side=1000-rank=1-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_fancy[side=1000-rank=1-format='gcxs']
0%
2 ms
2 ms
test_gcxs_dot_ndarray[coo-m=500-n=200-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=500-n=200-p=200]
0%
2.8 ms
2.8 ms
test_gcxs_dot_ndarray[coo-m=1000-n=1000-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=1000-n=1000-p=500]
0%
15.7 ms
15.7 ms
test_matmul[m=1000-n=1000-p=500-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=1000-p=500-gcxs]
0%
22.7 ms
22.6 ms
test_tensordot[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[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=50-q=10-COO]
0%
3.1 ms
3.1 ms
test_tensordot[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[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=20-q=50-COO]
0%
2.2 ms
2.2 ms
test_gcxs_dot_ndarray[coo-m=200-n=200-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=200-n=200-p=200]
0%
2.1 ms
2.1 ms
test_matmul[m=500-n=1000-p=1000-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=1000-p=1000-gcxs]
0%
15.4 ms
15.4 ms
test_tensordot[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[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=50-q=50-COO]
0%
4.3 ms
4.3 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=1000-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=1000-p=200]
0%
3.2 ms
3.2 ms
test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=1000-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=1000-p=1000]
0%
9 ms
9 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=200-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=200-p=500]
0%
3.8 ms
3.8 ms
test_tensordot[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[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=20-q=50-ndarray]
0%
3.2 ms
3.2 ms
test_matmul[m=200-n=1000-p=200-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=1000-p=200-gcxs]
0%
7.7 ms
7.7 ms
test_index_fancy[side=1000-rank=1-format='coo']
benchmarks/test_benchmark_coo.py::test_index_fancy[side=1000-rank=1-format='coo']
0%
1.7 ms
1.7 ms
test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=500-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=500-p=500]
0%
3.5 ms
3.5 ms
test_tensordot[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[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=50-q=10-ndarray]
0%
2.2 ms
2.2 ms
test_tensordot[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[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=20-q=50-ndarray]
0%
4 ms
4 ms
test_gcxs_dot_ndarray[coo-m=500-n=200-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=500-n=200-p=500]
0%
4.8 ms
4.8 ms
test_tensordot[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[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=50-q=50-COO]
0%
5.1 ms
5.1 ms
test_elemwise[side=100-rank=3-format='coo'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=3-format='coo'-mul]
0%
9.6 ms
9.5 ms
test_index_scalar[side=1000-rank=1-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=1000-rank=1-format='gcxs']
0%
637.9 µs
637.3 µs
test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=1000-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=1000-p=200]
0%
4.1 ms
4.1 ms
test_index_slice[side=100-rank=1-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_slice[side=100-rank=1-format='gcxs']
0%
852.1 µs
851.3 µs
test_tensordot[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[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=50-q=10-ndarray]
0%
2.6 ms
2.6 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=200-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=200-p=1000]
0%
4 ms
4 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=500-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=500-p=500]
0%
6.9 ms
6.9 ms
test_tensordot[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[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=20-q=50-COO]
0%
3.3 ms
3.3 ms
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 ms
3.2 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=500-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=500-p=500]
0%
3.5 ms
3.5 ms
test_gcxs_dot_ndarray[coo-m=200-n=1000-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=200-n=1000-p=200]
0%
3.5 ms
3.5 ms
test_index_slice[side=1000-rank=1-format='coo']
benchmarks/test_benchmark_coo.py::test_index_slice[side=1000-rank=1-format='coo']
0%
535.9 µs
535.5 µs
test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=200-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=200-p=200]
0%
2.2 ms
2.2 ms
test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=1000-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=1000-p=200]
0%
3.2 ms
3.2 ms
test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=500-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=500-p=500]
0%
4.7 ms
4.7 ms
test_gcxs_dot_ndarray[coo-m=200-n=200-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=200-n=200-p=500]
0%
3.1 ms
3.1 ms
test_gcxs_dot_ndarray[coo-m=200-n=500-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=200-n=500-p=500]
0%
4.5 ms
4.5 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=200-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=200-p=1000]
0%
11.1 ms
11.1 ms
test_matmul[m=500-n=500-p=1000-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=500-p=1000-coo]
0%
13.4 ms
13.4 ms
test_index_slice[side=100-rank=1-format='coo']
benchmarks/test_benchmark_coo.py::test_index_slice[side=100-rank=1-format='coo']
0%
533.1 µs
532.7 µs
test_matmul[m=1000-n=500-p=500-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=500-p=500-coo]
0%
13.3 ms
13.2 ms
test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=1000-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=1000-p=500]
0%
6.3 ms
6.3 ms
test_index_scalar[side=100-rank=1-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=100-rank=1-format='gcxs']
0%
629.4 µs
628.9 µs
test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=500-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=500-p=200]
0%
3.5 ms
3.4 ms
test_gcxs_dot_ndarray[coo-m=1000-n=200-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=1000-n=200-p=200]
0%
3.9 ms
3.9 ms
test_tensordot[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[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=20-q=10-COO]
0%
2.5 ms
2.5 ms
test_tensordot[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[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=20-q=10-COO]
0%
1.8 ms
1.8 ms
test_matmul[m=1000-n=200-p=1000-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=200-p=1000-coo]
0%
13.7 ms
13.7 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=500-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=500-p=1000]
0%
5.8 ms
5.8 ms
test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=200-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=200-p=1000]
0%
4 ms
4 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=500-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=500-p=500]
0%
4.7 ms
4.7 ms
test_index_scalar[side=100-rank=2-format='coo']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=100-rank=2-format='coo']
0%
400.7 µs
400.4 µs
test_tensordot[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[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=20-q=10-ndarray]
0%
2 ms
2 ms
test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=200-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=200-p=500]
0%
5.9 ms
5.9 ms
test_gcxs_dot_ndarray[coo-m=500-n=1000-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=500-n=1000-p=200]
0%
4.8 ms
4.8 ms
test_gcxs_dot_ndarray[coo-m=1000-n=500-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=1000-n=500-p=200]
0%
5.2 ms
5.2 ms
test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=1000-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=1000-p=500]
0%
5 ms
5 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=1000-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=1000-p=500]
0%
5 ms
5 ms
test_gcxs_dot_ndarray[coo-m=200-n=200-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=200-n=200-p=1000]
0%
4.8 ms
4.8 ms
test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=500-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=500-p=500]
0%
6.9 ms
6.9 ms
test_index_scalar[side=1000-rank=1-format='coo']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=1000-rank=1-format='coo']
0%
319.9 µs
319.7 µs
test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=200-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=200-p=500]
0%
3.8 ms
3.8 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=200-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=200-p=1000]
0%
6.4 ms
6.4 ms
test_gcxs_dot_ndarray[coo-m=200-n=1000-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=200-n=1000-p=1000]
0%
12 ms
12 ms
test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=500-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=500-p=1000]
0%
5.8 ms
5.8 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=200-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=200-p=200]
0%
3 ms
3 ms
test_gcxs_dot_ndarray[coo-m=500-n=1000-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=500-n=1000-p=1000]
0%
19.4 ms
19.4 ms
test_index_slice[side=500-rank=2-format='coo']
benchmarks/test_benchmark_coo.py::test_index_slice[side=500-rank=2-format='coo']
0%
926 µs
925.5 µs
test_gcxs_dot_ndarray[coo-m=500-n=500-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=500-n=500-p=500]
0%
6.8 ms
6.8 ms
test_elemwise_broadcast[side=1000-format='gcxs'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=1000-format='gcxs'-mul]
0%
102 ms
102 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=1000-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=1000-p=500]
0%
6.3 ms
6.3 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=1000-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=1000-p=200]
0%
4.1 ms
4.1 ms
test_gcxs_dot_ndarray[coo-m=200-n=1000-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=200-n=1000-p=500]
0%
6.6 ms
6.6 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=200-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=200-p=500]
0%
5.9 ms
5.9 ms
test_index_scalar[side=500-rank=1-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=500-rank=1-format='gcxs']
0%
636.3 µs
636 µs
test_tensordot[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[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=50-q=50-ndarray]
0%
2.3 ms
2.3 ms
test_gcxs_dot_ndarray[coo-m=1000-n=200-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=1000-n=200-p=500]
0%
7.7 ms
7.7 ms
test_elemwise[side=500-rank=2-format='coo'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[side=500-rank=2-format='coo'-add]
0%
7.8 ms
7.8 ms
test_gcxs_dot_ndarray[coo-m=500-n=200-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=500-n=200-p=1000]
0%
8.3 ms
8.3 ms
test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=200-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=200-p=1000]
0%
6.4 ms
6.4 ms
test_matmul[m=1000-n=1000-p=1000-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=1000-p=1000-gcxs]
0%
27.8 ms
27.8 ms
test_index_scalar[side=100-rank=1-format='coo']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=100-rank=1-format='coo']
0%
318.4 µs
318.3 µs
test_tensordot[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[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=50-q=10-ndarray]
0%
1.7 ms
1.7 ms
test_index_slice[side=1000-rank=1-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_slice[side=1000-rank=1-format='gcxs']
0%
861.4 µs
861.1 µs
test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=500-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=500-p=1000]
0%
8.4 ms
8.4 ms
test_tensordot[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[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=50-q=50-ndarray]
0%
2.2 ms
2.2 ms
test_gcxs_dot_ndarray[coo-m=500-n=1000-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=500-n=1000-p=500]
0%
9.9 ms
9.9 ms
test_index_scalar[side=1000-rank=2-format='coo']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=1000-rank=2-format='coo']
0%
400.5 µs
400.3 µs
test_gcxs_dot_ndarray[coo-m=200-n=500-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=200-n=500-p=1000]
0%
7.5 ms
7.5 ms
test_gcxs_dot_ndarray[coo-m=1000-n=500-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=1000-n=500-p=500]
0%
10.7 ms
10.7 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=1000-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=1000-p=1000]
0%
12.7 ms
12.7 ms
test_gcxs_dot_ndarray[coo-m=500-n=500-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=500-n=500-p=200]
0%
3.6 ms
3.6 ms
test_tensordot[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[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=20-q=10-ndarray]
0%
1.7 ms
1.7 ms
test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=200-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=200-p=1000]
0%
11 ms
11 ms
test_tensordot[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[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=20-q=10-ndarray]
0%
2.1 ms
2.1 ms
test_tensordot[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[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=20-q=50-ndarray]
0%
3 ms
3 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=500-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=500-p=1000]
0%
13.9 ms
13.9 ms
test_tensordot[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[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=50-q=50-ndarray]
0%
3 ms
3 ms
test_index_scalar[side=500-rank=1-format='coo']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=500-rank=1-format='coo']
0%
319.5 µs
319.4 µs
test_tensordot[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[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=50-q=10-ndarray]
0%
3 ms
3 ms
test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=1000-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=1000-p=500]
0%
8.6 ms
8.6 ms
test_gcxs_dot_ndarray[coo-m=1000-n=200-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=1000-n=200-p=1000]
0%
14.4 ms
14.4 ms
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]
0%
5.8 ms
5.8 ms
test_index_slice[side=1000-rank=2-format='coo']
benchmarks/test_benchmark_coo.py::test_index_slice[side=1000-rank=2-format='coo']
0%
1.7 ms
1.7 ms
test_tensordot[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[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=20-q=10-ndarray]
0%
1.5 ms
1.5 ms
test_elemwise_broadcast[side=1000-format='gcxs'-add]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=1000-format='gcxs'-add]
0%
22.4 s
22.4 s
test_tensordot[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[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=20-q=50-ndarray]
0%
1.7 ms
1.7 ms
test_tensordot[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[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=20-q=50-ndarray]
0%
5 ms
5 ms
test_tensordot[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[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=20-q=10-ndarray]
0%
1.5 ms
1.5 ms
test_index_scalar[side=500-rank=2-format='coo']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=500-rank=2-format='coo']
0%
400.8 µs
400.8 µs
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%
736.4 µs
736.4 µs
test_tensordot[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[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=20-q=50-ndarray]
0%
2.1 ms
2.1 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=500-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=500-p=1000]
0%
8.4 ms
8.4 ms
test_gcxs_dot_ndarray[coo-m=500-n=500-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=500-n=500-p=1000]
0%
12.2 ms
12.2 ms
test_tensordot[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[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=20-q=50-ndarray]
0%
1.7 ms
1.7 ms
test_tensordot[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[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=50-q=10-COO]
0%
2 ms
2 ms
test_tensordot[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[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=50-q=10-COO]
0%
3.7 ms
3.7 ms
test_tensordot[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[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=20-q=50-ndarray]
0%
3.2 ms
3.2 ms
test_elemwise_broadcast[side=500-format='gcxs'-add]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=500-format='gcxs'-add]
0%
2.6 s
2.6 s
test_elemwise_broadcast[side=1000-format='coo'-add]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=1000-format='coo'-add]
0%
14.9 s
14.9 s
test_tensordot[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[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=20-q=10-ndarray]
0%
1.7 ms
1.7 ms
test_elemwise_broadcast[side=500-format='coo'-add]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=500-format='coo'-add]
0%
1.7 s
1.7 s
test_gcxs_dot_ndarray[coo-m=1000-n=1000-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=1000-n=1000-p=1000]
0%
33.5 ms
33.5 ms
test_tensordot[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[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=20-q=50-ndarray]
0%
2.1 ms
2.1 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=1000-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=1000-p=1000]
0%
19.1 ms
19.1 ms
test_tensordot[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[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=20-q=50-COO]
0%
2.6 ms
2.6 ms
test_tensordot[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[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=50-q=10-ndarray]
0%
1.7 ms
1.7 ms
test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=1000-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=1000-p=1000]
0%
19.8 ms
19.8 ms
test_matmul[m=1000-n=1000-p=500-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=1000-p=500-coo]
0%
21.7 ms
21.7 ms
test_matmul[m=500-n=1000-p=1000-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=1000-p=1000-coo]
0%
21.8 ms
21.8 ms
test_tensordot[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[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=20-q=50-COO]
0%
4.1 ms
4.1 ms
test_tensordot[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[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=50-q=10-ndarray]
0%
3.2 ms
3.2 ms
test_matmul[m=200-n=500-p=500-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=500-p=500-coo]
0%
5 ms
5 ms
test_tensordot[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[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=20-q=50-COO]
0%
5.5 ms
5.5 ms
test_tensordot[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[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=50-q=10-ndarray]
0%
1.6 ms
1.6 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 ms
1.5 ms
test_tensordot[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[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=50-q=10-COO]
0%
2.2 ms
2.2 ms
test_tensordot[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[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=50-q=50-COO]
0%
6.9 ms
6.9 ms
test_index_scalar[side=100-rank=3-format='coo']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=100-rank=3-format='coo']
0%
480.7 µs
481.5 µs
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%
882.4 µs
884 µs
test_matmul[m=1000-n=1000-p=1000-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=1000-p=1000-coo]
0%
39.8 ms
39.9 ms
test_tensordot[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[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=50-q=10-ndarray]
0%
2.3 ms
2.3 ms
test_matmul[m=200-n=1000-p=1000-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=1000-p=1000-coo]
0%
10.7 ms
10.7 ms
test_tensordot[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[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=50-q=50-COO]
0%
10.9 ms
10.9 ms
test_tensordot[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[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=50-q=10-COO]
0%
5.2 ms
5.3 ms
test_matmul[m=500-n=1000-p=500-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=1000-p=500-gcxs]
0%
16.2 ms
16.2 ms
test_elemwise[side=1000-rank=2-format='coo'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[side=1000-rank=2-format='coo'-add]
0%
19.9 ms
20 ms
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%
553.5 µs
555.2 µs
test_matmul[m=200-n=500-p=1000-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=500-p=1000-gcxs]
0%
5.9 ms
5.9 ms
test_tensordot[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[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=20-q=50-COO]
0%
3.8 ms
3.8 ms
test_tensordot[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[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=50-q=50-ndarray]
0%
3.2 ms
3.2 ms
test_index_fancy[side=500-rank=1-format='coo']
benchmarks/test_benchmark_coo.py::test_index_fancy[side=500-rank=1-format='coo']
0%
1.1 ms
1.1 ms
test_matmul[m=200-n=500-p=1000-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=500-p=1000-coo]
0%
7.2 ms
7.2 ms
test_tensordot[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[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=50-q=50-COO]
0%
6.8 ms
6.9 ms
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%
713.7 µs
717 µs
test_elemwise_broadcast[side=500-format='coo'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=500-format='coo'-mul]
-1%
12.6 ms
12.6 ms
test_tensordot[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[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=50-q=50-COO]
-1%
6.6 ms
6.6 ms
test_tensordot[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[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=50-q=50-ndarray]
-1%
6 ms
6 ms
test_tensordot[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[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=50-q=50-ndarray]
-1%
6.4 ms
6.4 ms
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]
-1%
574.5 µs
577.9 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%
612.1 µs
615.9 µs
test_tensordot[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[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=20-q=50-COO]
-1%
5.7 ms
5.7 ms
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]
-1%
1.4 ms
1.4 ms
test_tensordot[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[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=50-q=50-ndarray]
-1%
5.3 ms
5.3 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%
708.9 µs
715 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%
879.6 µs
887.4 µs
test_elemwise_broadcast[side=1000-format='coo'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=1000-format='coo'-mul]
-1%
74.5 ms
75.2 ms
test_elemwise_broadcast[side=500-format='gcxs'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=500-format='gcxs'-mul]
-1%
19.9 ms
20.1 ms
test_tensordot[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[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=50-q=50-COO]
-1%
11.6 ms
11.8 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]
-1%
4.4 ms
4.4 ms
test_tensordot[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[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=50-q=50-COO]
-2%
17.5 ms
17.7 ms
test_tensordot[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[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=50-q=50-ndarray]
-2%
10.8 ms
10.9 ms
test_tensordot[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[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=50-q=50-COO]
-2%
10.5 ms
10.8 ms
test_tensordot[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[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=50-q=50-ndarray]
-2%
10.3 ms
10.6 ms
test_tensordot[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[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=50-q=50-ndarray]
-3%
9.3 ms
9.6 ms
Commits
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base
main
db60537
-55%
ENH: Implemented __getitem__ logic
fbd4586
1 month ago
by mtsokol
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