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ENH: CSC and CSF formats for MLIR backend
#775
Merged
Comparing
more-formats
(
e5e0511
) with
main
(
f97fa03
)
-52%
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']
-52%
680.3 µs
1,415.6 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']
-12%
3.3 ms
3.7 ms
Passed
test_index_slice[side=100-rank=1-format='coo']
benchmarks/test_benchmark_coo.py::test_index_slice[side=100-rank=1-format='coo']
+6%
533.5 µs
501.8 µs
test_elemwise[f=<built-in function add>-backend='SciPy'-side=500]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function add>-backend='SciPy'-side=500]
+1%
581.2 µs
573.7 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%
619.8 µs
611.9 µs
test_elemwise[f=<built-in function gt>-backend='Finch'-side=500]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function gt>-backend='Finch'-side=500]
+1%
882.4 µs
875.8 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%
711.9 µs
706.8 µs
test_elemwise[f=<built-in function add>-backend='SciPy'-side=100]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function add>-backend='SciPy'-side=100]
+1%
556.8 µs
553.2 µs
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_matmul[m=200-n=500-p=1000-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=500-p=1000-gcxs]
+1%
6 ms
5.9 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%
852.6 µs
848.4 µs
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]
0%
11.6 ms
11.5 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
6.9 ms
test_matmul[m=200-n=500-p=1000-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=500-p=1000-coo]
0%
7.3 ms
7.2 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_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_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_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_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_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=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
2.1 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=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]
0%
3 ms
3 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
6.8 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%
5.1 ms
5 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=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_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_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[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%
611.9 µs
610.7 µs
test_index_scalar[side=500-rank=2-format='coo']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=500-rank=2-format='coo']
0%
402.2 µs
401.5 µs
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='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_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_index_scalar[side=1000-rank=1-format='coo']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=1000-rank=1-format='coo']
0%
321.1 µs
320.5 µs
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_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_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_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_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_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_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_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_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_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_elemwise_broadcast[side=1000-format='coo'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=1000-format='coo'-mul]
0%
75.1 ms
75 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_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_index_scalar[side=100-rank=1-format='coo']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=100-rank=1-format='coo']
0%
319.4 µs
319.1 µs
test_index_scalar[side=1000-rank=2-format='coo']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=1000-rank=2-format='coo']
0%
401.7 µs
401.3 µs
test_index_fancy[side=100-rank=1-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_fancy[side=100-rank=1-format='gcxs']
0%
964.1 µs
963 µs
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_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_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_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_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_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_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-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_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_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_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=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%
1.5 ms
1.5 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_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_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_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=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_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_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_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_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_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_index_scalar[side=500-rank=1-format='coo']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=500-rank=1-format='coo']
0%
320.4 µs
320.1 µs
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_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_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='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_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[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_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_index_fancy[side=100-rank=2-format='coo']
benchmarks/test_benchmark_coo.py::test_index_fancy[side=100-rank=2-format='coo']
0%
813.2 µs
812.6 µs
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_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_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_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_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_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-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=1000-p=1000-coo]
0%
21.8 ms
21.8 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%
481.7 µs
481.3 µs
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=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_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='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[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
14.3 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_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=1000-rank=1-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=1000-rank=1-format='gcxs']
0%
638.8 µs
638.5 µs
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_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-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=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]
0%
17.5 ms
17.5 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_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=2-format='coo']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=100-rank=2-format='coo']
0%
401.6 µs
401.4 µs
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]
0%
6.3 ms
6.3 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_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_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_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_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_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_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_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_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
3.1 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_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[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_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_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=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_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_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]
0%
5.3 ms
5.3 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=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_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_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_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_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-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
2.6 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%
507.3 µs
507.1 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[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_index_slice[side=500-rank=2-format='coo']
benchmarks/test_benchmark_coo.py::test_index_slice[side=500-rank=2-format='coo']
0%
925.7 µs
925.4 µs
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_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_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_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_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]
0%
10.5 ms
10.5 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=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_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_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[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_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=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_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_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=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=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_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-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[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=1000-n=500-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=500-p=1000]
0%
13.8 ms
13.8 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_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%
596.3 µs
596.2 µs
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[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_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=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_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=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_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_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_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_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_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_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[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=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_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=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_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_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%
566.7 µs
566.7 µs
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=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[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=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_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_index_slice[side=1000-rank=1-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_slice[side=1000-rank=1-format='gcxs']
0%
861.9 µs
861.9 µs
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_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_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_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-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-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_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_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_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_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_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
2.6 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]
0%
6.6 ms
6.6 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_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_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=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='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%
4.2 ms
4.2 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=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=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=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_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_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_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_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_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_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=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]
0%
10.7 ms
10.7 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]
0%
10.3 ms
10.3 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=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_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_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=500-rank=1-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=500-rank=1-format='gcxs']
0%
636.7 µs
636.7 µs
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-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=500-p=500-coo]
0%
13.3 ms
13.3 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_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_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_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_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_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
3.5 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_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_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_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=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_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_index_slice[side=500-rank=1-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_slice[side=500-rank=1-format='gcxs']
0%
859.3 µs
859.5 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%
535.7 µs
535.8 µs
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_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=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_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_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[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%
676.4 µs
676.6 µs
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_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 gt>-backend='SciPy'-side=100]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function gt>-backend='SciPy'-side=100]
0%
552.1 µs
552.3 µs
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_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_index_scalar[side=100-rank=1-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=100-rank=1-format='gcxs']
0%
629.8 µs
630.1 µs
test_elemwise[f=<built-in function mul>-backend='SciPy'-side=500]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function mul>-backend='SciPy'-side=500]
0%
617.9 µs
618.2 µs
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_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_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_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_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_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[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_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=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=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_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_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=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_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_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=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]
0%
9.3 ms
9.3 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_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=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_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='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'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=3-format='gcxs'-mul]
0%
16.9 ms
16.9 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
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
14.8 ms
test_elemwise_broadcast[side=500-format='coo'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=500-format='coo'-mul]
0%
12.8 ms
12.8 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_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_index_slice[side=100-rank=2-format='coo']
benchmarks/test_benchmark_coo.py::test_index_slice[side=100-rank=2-format='coo']
0%
632.7 µs
633.3 µs
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_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%
5.3 ms
5.3 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=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_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_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
14.2 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_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_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_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]
0%
5.7 ms
5.7 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_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=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_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_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_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_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[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
21.9 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_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_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_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_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_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_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=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=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_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
8.7 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
8 ms
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_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_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_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_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=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_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_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_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_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_elemwise_broadcast[side=500-format='gcxs'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=500-format='gcxs'-mul]
0%
20 ms
20.1 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_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_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=500-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=1000-p=500-gcxs]
0%
12.3 ms
12.4 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_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_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_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_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%
5.7 ms
5.8 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%
5.5 ms
5.6 ms
test_elemwise_broadcast[side=1000-format='gcxs'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=1000-format='gcxs'-mul]
-1%
102 ms
102.6 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='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_elemwise_broadcast[side=100-format='coo'-add]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=100-format='coo'-add]
-1%
14.1 ms
14.2 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%
717.1 µs
722.5 µs
test_index_fancy[side=100-rank=3-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_fancy[side=100-rank=3-format='gcxs']
-1%
7.1 ms
7.1 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%
885 µs
892.4 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
8 ms
test_index_fancy[side=1000-rank=2-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_fancy[side=1000-rank=2-format='gcxs']
-1%
6.5 ms
6.5 ms
test_matmul[m=500-n=1000-p=500-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=1000-p=500-gcxs]
-1%
16.1 ms
16.3 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]
-1%
696.3 µs
703.4 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]
-1%
735.4 µs
744.3 µs
test_elemwise[f=<built-in function mul>-backend='Finch'-side=500]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function mul>-backend='Finch'-side=500]
-1%
711.7 µs
722.2 µs
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]
-2%
4.2 ms
4.3 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]
-2%
5.7 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']
-2%
4.5 ms
4.6 ms
test_index_fancy[side=100-rank=3-format='coo']
benchmarks/test_benchmark_coo.py::test_index_fancy[side=100-rank=3-format='coo']
-3%
3.5 ms
3.6 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]
-4%
3.8 ms
4 ms
Commits
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ENH: CSC and CSF formats for MLIR backend
e5e0511
2 months ago
by mtsokol
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