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feat: MLIR backend POC
(
#755
)
Merged
Comparing
mlir-poc
(
4e90867
) with
main
(
df5b27c
)
+72%
IMPROVEMENTS
2
REGRESSIONS
0
UNTOUCHED
242
NEW
0
DROPPED
0
IGNORED
0
Benchmarks
Improved
test_index_fancy[side=100-rank=1-format='coo']
benchmarks/test_benchmark_coo.py::test_index_fancy[side=100-rank=1-format='coo']
+72%
1,102.5 µs
641 µs
test_index_slice[side=100-rank=2-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_slice[side=100-rank=2-format='gcxs']
+19%
3.2 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 mul>-backend='Finch'-side=100]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function mul>-backend='Finch'-side=100]
+2%
705.5 µs
695.1 µs
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=500-n=500-p=1000-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=500-p=1000-coo]
+1%
13.4 ms
13.2 ms
test_matmul[m=1000-n=500-p=500-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=500-p=500-coo]
+1%
13.2 ms
13.1 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]
+1%
748.4 µs
740.3 µs
test_matmul[m=200-n=500-p=500-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=500-p=500-coo]
+1%
5 ms
5 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]
+1%
722.6 µs
716.1 µs
test_matmul[m=200-n=1000-p=1000-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=1000-p=1000-gcxs]
+1%
7.9 ms
7.9 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]
+1%
892.5 µs
885.9 µs
test_matmul[m=500-n=500-p=500-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=500-p=500-gcxs]
+1%
6.8 ms
6.7 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]
+1%
723.1 µs
719 µs
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]
+1%
13.9 ms
13.8 ms
test_matmul[m=200-n=1000-p=500-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=1000-p=500-gcxs]
+1%
12.3 ms
12.3 ms
test_elemwise_broadcast[side=1000-format='gcxs'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=1000-format='gcxs'-mul]
0%
102.8 ms
102.3 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%
1.5 ms
1.4 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_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_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_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=1000]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function gt>-backend='SciPy'-side=1000]
0%
613.1 µs
610.9 µs
test_index_fancy[side=100-rank=2-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_fancy[side=100-rank=2-format='gcxs']
0%
2.2 ms
2.2 ms
test_index_fancy[side=100-rank=3-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_fancy[side=100-rank=3-format='gcxs']
0%
7.2 ms
7.1 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%
620 µs
618.3 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_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_index_slice[side=1000-rank=1-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_slice[side=1000-rank=1-format='gcxs']
0%
862.6 µs
860.9 µs
test_elemwise[side=100-rank=3-format='gcxs'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=3-format='gcxs'-mul]
0%
16.9 ms
16.9 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_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_index_fancy[side=100-rank=2-format='coo']
benchmarks/test_benchmark_coo.py::test_index_fancy[side=100-rank=2-format='coo']
0%
812.9 µs
811.6 µs
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_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_elemwise_broadcast[side=500-format='coo'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=500-format='coo'-mul]
0%
12.7 ms
12.7 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%
7.9 ms
7.9 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%
852.8 µs
851.8 µs
test_index_slice[side=500-rank=1-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_slice[side=500-rank=1-format='gcxs']
0%
859.8 µs
858.8 µs
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_elemwise_broadcast[side=500-format='gcxs'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=500-format='gcxs'-mul]
0%
20.1 ms
20 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_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%
557.6 µs
557 µs
test_index_slice[side=1000-rank=1-format='coo']
benchmarks/test_benchmark_coo.py::test_index_slice[side=1000-rank=1-format='coo']
0%
535.3 µs
534.7 µs
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_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_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_matmul[m=200-n=200-p=200-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=200-p=200-gcxs]
0%
3.1 ms
3.1 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_matmul[m=200-n=500-p=200-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=500-p=200-gcxs]
0%
6.2 ms
6.2 ms
test_matmul[m=500-n=200-p=200-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=200-p=200-gcxs]
0%
6 ms
6 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[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_index_fancy[side=1000-rank=2-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_fancy[side=1000-rank=2-format='gcxs']
0%
6.6 ms
6.6 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_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 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_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_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_matmul[m=1000-n=200-p=200-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=200-p=200-gcxs]
0%
6.9 ms
6.9 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_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_index_scalar[side=500-rank=1-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=500-rank=1-format='gcxs']
0%
636.2 µs
635.8 µs
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%
2.6 ms
2.6 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_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_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_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
39.8 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%
401.2 µs
401 µs
test_matmul[m=1000-n=200-p=1000-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=200-p=1000-gcxs]
0%
15.6 ms
15.6 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_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_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_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_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[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_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_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[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_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_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_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_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_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_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_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_index_scalar[side=100-rank=3-format='coo']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=100-rank=3-format='coo']
0%
481.4 µs
481.3 µs
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=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[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_elemwise[side=500-rank=2-format='gcxs'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[side=500-rank=2-format='gcxs'-mul]
0%
8.6 ms
8.6 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_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
3.6 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_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
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_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_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_elemwise[side=1000-rank=2-format='coo'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[side=1000-rank=2-format='coo'-add]
0%
20 ms
20 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_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_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_index_scalar[side=100-rank=1-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=100-rank=1-format='gcxs']
0%
629.2 µs
629 µs
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_index_slice[side=500-rank=2-format='coo']
benchmarks/test_benchmark_coo.py::test_index_slice[side=500-rank=2-format='coo']
0%
926.2 µs
926 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_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-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[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_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[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_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_index_slice[side=100-rank=2-format='coo']
benchmarks/test_benchmark_coo.py::test_index_slice[side=100-rank=2-format='coo']
0%
631.8 µs
631.7 µs
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_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_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_index_scalar[side=1000-rank=1-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=1000-rank=1-format='gcxs']
0%
637.5 µs
637.4 µs
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[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_matmul[m=1000-n=1000-p=200-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=1000-p=200-coo]
0%
10 ms
10 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_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=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_matmul[m=500-n=1000-p=500-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=1000-p=500-coo]
0%
12.2 ms
12.2 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_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_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_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_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=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_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%
3.4 ms
3.4 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%
401.2 µs
401.1 µs
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-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[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_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_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_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_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_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[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_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_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_elemwise[side=1000-rank=2-format='gcxs'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[side=1000-rank=2-format='gcxs'-mul]
0%
14.1 ms
14.1 ms
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='coo']
benchmarks/test_benchmark_coo.py::test_index_slice[side=100-rank=1-format='coo']
0%
533.2 µs
533.2 µs
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_matmul[m=500-n=500-p=200-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=500-p=200-coo]
0%
4.6 ms
4.6 ms
test_elemwise_broadcast[side=100-format='gcxs'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=100-format='gcxs'-mul]
0%
7.5 ms
7.5 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%
962.9 µs
962.9 µs
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_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_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_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[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_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_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_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
4.7 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[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%
596.9 µs
597 µs
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%
2.5 ms
2.6 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=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_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_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_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
9.6 ms
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_elemwise_broadcast[side=100-format='coo'-add]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=100-format='coo'-add]
0%
14.1 ms
14.1 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
22.7 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_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_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_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[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_index_scalar[side=100-rank=1-format='coo']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=100-rank=1-format='coo']
0%
319 µs
319.1 µs
test_elemwise[side=100-rank=2-format='gcxs'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=2-format='gcxs'-mul]
0%
6.8 ms
6.8 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%
8.2 ms
8.2 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 ms
11.1 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_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_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[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_index_scalar[side=100-rank=2-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=100-rank=2-format='gcxs']
0%
1.5 ms
1.5 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_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_elemwise[side=500-rank=1-format='coo'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[side=500-rank=1-format='coo'-add]
0%
3.5 ms
3.5 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_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_elemwise[side=100-rank=2-format='gcxs'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=2-format='gcxs'-add]
0%
7.9 ms
7.9 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_index_scalar[side=100-rank=3-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=100-rank=3-format='gcxs']
0%
1.6 ms
1.6 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_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[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
4.2 ms
test_index_slice[side=1000-rank=2-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_slice[side=1000-rank=2-format='gcxs']
0%
4.2 ms
4.2 ms
test_index_scalar[side=500-rank=2-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=500-rank=2-format='gcxs']
0%
1.5 ms
1.5 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_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[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
4.2 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%
14.7 ms
14.8 ms
test_index_scalar[side=1000-rank=2-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=1000-rank=2-format='gcxs']
0%
1.5 ms
1.5 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_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[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=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_index_slice[side=500-rank=1-format='coo']
benchmarks/test_benchmark_coo.py::test_index_slice[side=500-rank=1-format='coo']
0%
506.8 µs
507.1 µs
test_index_scalar[side=500-rank=1-format='coo']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=500-rank=1-format='coo']
0%
320 µs
320.2 µs
test_index_scalar[side=1000-rank=1-format='coo']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=1000-rank=1-format='coo']
0%
320.4 µs
320.6 µs
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_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%
566.4 µs
566.9 µs
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_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
23.6 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%
401.4 µs
401.8 µs
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_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_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_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_matmul[m=500-n=500-p=500-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=500-p=500-coo]
0%
8.1 ms
8.1 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%
32.9 ms
33 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%
551.8 µs
552.4 µs
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_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 µs
680.1 µs
test_matmul[m=200-n=1000-p=200-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=1000-p=200-gcxs]
0%
7.6 ms
7.7 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_elemwise_broadcast[side=1000-format='coo'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=1000-format='coo'-mul]
0%
75 ms
75.2 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]
0%
581.3 µs
582.8 µs
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 ms
9.1 ms
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 ms
5.1 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%
10.8 ms
10.8 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]
0%
4.4 ms
4.5 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]
0%
1.4 ms
1.4 ms
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]
0%
888.5 µs
892.2 µs
test_elemwise_broadcast[side=100-format='gcxs'-add]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=100-format='gcxs'-add]
0%
22.1 ms
22.2 ms
test_elemwise[side=100-rank=3-format='coo'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=3-format='coo'-add]
0%
21.9 ms
22 ms
test_matmul[m=1000-n=500-p=200-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=500-p=200-gcxs]
-1%
5.9 ms
5.9 ms
test_matmul[m=1000-n=1000-p=200-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=1000-p=200-gcxs]
-1%
11.3 ms
11.4 ms
test_matmul[m=200-n=1000-p=200-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=1000-p=200-coo]
-1%
4.3 ms
4.3 ms
test_matmul[m=200-n=1000-p=500-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=1000-p=500-coo]
-1%
6.8 ms
6.9 ms
test_matmul[m=200-n=500-p=1000-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=500-p=1000-coo]
-1%
7.2 ms
7.2 ms
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%
613.3 µs
619.7 µs
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%
717.8 µs
725.5 µs
test_matmul[m=200-n=500-p=1000-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=500-p=1000-gcxs]
-1%
5.9 ms
6 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]
-6%
3.8 ms
4.1 ms
Commits
Click on a commit to change the comparison range
base
main
df5b27c
+72%
ENH: MLIR backend POC
4e90867
3 months ago
by mtsokol
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