aws-gpu - Branch - pydata/sparse

AWS GPU Configuration

#868

Comparing

aws-gpu

(

55ae3bc

) with

main

(

afb5212

)

-98%

Improvements: 10

Regressions: 151

Untouched: 179

Benchmarks

Failed

test_matmul[m=200-n=200-p=500-coo]Regression

benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=200-p=500-coo]

-20%

3.4 ms4.2 ms

test_matmul[m=200-n=200-p=200-gcxs]Regression

benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=200-p=200-gcxs]

-14%

2.6 ms3 ms

test_matmul[m=200-n=200-p=200-coo]Regression

benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=200-p=200-coo]

-25%

2.5 ms3.4 ms

test_elemwise[side=500-rank=1-format='coo'-mul]Regression

benchmarks/test_benchmark_coo.py::test_elemwise[side=500-rank=1-format='coo'-mul]

-20%

2.2 ms2.7 ms

test_matmul[m=200-n=200-p=500-gcxs]Regression

benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=200-p=500-gcxs]

-11%

3.3 ms3.7 ms

test_elemwise[side=500-rank=1-format='gcxs'-add]Regression

benchmarks/test_benchmark_coo.py::test_elemwise[side=500-rank=1-format='gcxs'-add]

-27%

3.4 ms4.7 ms

test_matmul[m=200-n=500-p=200-coo]Regression

benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=500-p=200-coo]

-22%

3 ms3.8 ms

test_matmul[m=200-n=200-p=1000-coo]Regression

benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=200-p=1000-coo]

-15%

4.6 ms5.4 ms

test_elemwise[side=500-rank=1-format='gcxs'-mul]Regression

benchmarks/test_benchmark_coo.py::test_elemwise[side=500-rank=1-format='gcxs'-mul]

-27%

2.7 ms3.7 ms

test_matmul[m=200-n=500-p=500-coo]Regression

benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=500-p=500-coo]

-15%

4.5 ms5.3 ms

test_elemwise[side=500-rank=2-format='coo'-add]Regression

benchmarks/test_benchmark_coo.py::test_elemwise[side=500-rank=2-format='coo'-add]

-10%

7.1 ms8 ms

test_elemwise[side=500-rank=2-format='coo'-mul]Regression

benchmarks/test_benchmark_coo.py::test_elemwise[side=500-rank=2-format='coo'-mul]

-12%

3.9 ms4.4 ms

test_elemwise[side=1000-rank=1-format='coo'-add]Regression

benchmarks/test_benchmark_coo.py::test_elemwise[side=1000-rank=1-format='coo'-add]

-22%

2.9 ms3.8 ms

test_elemwise[side=1000-rank=1-format='coo'-mul]Regression

benchmarks/test_benchmark_coo.py::test_elemwise[side=1000-rank=1-format='coo'-mul]

-20%

2.2 ms2.7 ms

test_matmul[m=200-n=500-p=1000-coo]Regression

benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=500-p=1000-coo]

-12%

6.7 ms7.6 ms

test_elemwise[side=1000-rank=1-format='gcxs'-add]Regression

benchmarks/test_benchmark_coo.py::test_elemwise[side=1000-rank=1-format='gcxs'-add]

-27%

3.4 ms4.7 ms

test_matmul[m=200-n=1000-p=200-coo]Regression

benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=1000-p=200-coo]

-18%

3.8 ms4.7 ms

test_matmul[m=200-n=1000-p=500-coo]Regression

benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=1000-p=500-coo]

-12%

6.4 ms7.2 ms

test_elemwise_broadcast[side=100-format='coo'-mul]Regression

benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=100-format='coo'-mul]

-18%

2.6 ms3.2 ms

test_elemwise_broadcast[side=100-format='gcxs'-mul]Regression

benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=100-format='gcxs'-mul]

-14%

6.4 ms7.4 ms

test_elemwise[side=1000-rank=1-format='gcxs'-mul]Regression

benchmarks/test_benchmark_coo.py::test_elemwise[side=1000-rank=1-format='gcxs'-mul]

-27%

2.7 ms3.7 ms

test_matmul[m=500-n=200-p=500-coo]Regression

benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=200-p=500-coo]

-14%

5 ms5.9 ms

test_matmul[m=500-n=200-p=200-coo]Regression

benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=200-p=200-coo]

-22%

3 ms3.8 ms

test_index_scalar[side=100-rank=1-format='gcxs']Regression

benchmarks/test_benchmark_coo.py::test_index_scalar[side=100-rank=1-format='gcxs']

-30%

548.3 µs787.1 µs

test_index_scalar[side=500-rank=1-format='gcxs']Regression

benchmarks/test_benchmark_coo.py::test_index_scalar[side=500-rank=1-format='gcxs']

-30%

556 µs792.9 µs

test_matmul[m=500-n=500-p=200-coo]Regression

benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=500-p=200-coo]

-17%

4.1 ms4.9 ms

test_matmul[m=500-n=500-p=500-coo]Regression

benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=500-p=500-coo]

-10%

7.5 ms8.4 ms

test_index_scalar[side=1000-rank=1-format='gcxs']Regression

benchmarks/test_benchmark_coo.py::test_index_scalar[side=1000-rank=1-format='gcxs']

-30%

556.2 µs794.2 µs

test_index_slice[side=100-rank=1-format='gcxs']Regression

benchmarks/test_benchmark_coo.py::test_index_slice[side=100-rank=1-format='gcxs']

-29%

752.8 µs1,062.4 µs

test_index_slice[side=100-rank=1-format='coo']Regression

benchmarks/test_benchmark_coo.py::test_index_slice[side=100-rank=1-format='coo']

-15%

476.5 µs560 µs

test_matmul[m=500-n=1000-p=200-coo]Regression

benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=1000-p=200-coo]

-12%

5.9 ms6.8 ms

test_index_slice[side=100-rank=2-format='coo']Regression

benchmarks/test_benchmark_coo.py::test_index_slice[side=100-rank=2-format='coo']

-12%

553 µs629.1 µs

test_index_slice[side=500-rank=1-format='coo']Regression

benchmarks/test_benchmark_coo.py::test_index_slice[side=500-rank=1-format='coo']

-16%

453.9 µs538.6 µs

test_index_slice[side=1000-rank=1-format='gcxs']Regression

benchmarks/test_benchmark_coo.py::test_index_slice[side=1000-rank=1-format='gcxs']

-29%

760.1 µs1,072.4 µs

test_index_slice[side=500-rank=1-format='gcxs']Regression

benchmarks/test_benchmark_coo.py::test_index_slice[side=500-rank=1-format='gcxs']

-29%

759.4 µs1,071.4 µs

test_index_slice[side=1000-rank=1-format='coo']Regression

benchmarks/test_benchmark_coo.py::test_index_slice[side=1000-rank=1-format='coo']

-15%

478.3 µs562.6 µs

test_matmul[m=1000-n=200-p=200-coo]Regression

benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=200-p=200-coo]

-18%

3.7 ms4.6 ms

test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=200-p=200]Regression

benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=200-p=200]

-13%

1.5 ms1.7 ms

test_index_fancy[side=100-rank=1-format='gcxs']Regression

benchmarks/test_benchmark_coo.py::test_index_fancy[side=100-rank=1-format='gcxs']

-26%

858.7 µs1,167.8 µs

test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=500-p=200]Regression

benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=500-p=200]

-11%

1.9 ms2.1 ms

test_matmul[m=1000-n=500-p=200-coo]Regression

benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=500-p=200-coo]

-13%

5.8 ms6.7 ms

test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=200-p=200]Regression

benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=200-p=200]

-10%

2 ms2.2 ms

test_elemwise[side=100-rank=1-format='gcxs'-mul]Regression

benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=1-format='gcxs'-mul]

-27%

2.7 ms3.7 ms

test_elemwise[side=100-rank=1-format='gcxs'-add]Regression

benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=1-format='gcxs'-add]

-27%

3.4 ms4.6 ms

test_elemwise[side=100-rank=1-format='coo'-mul]Regression

benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=1-format='coo'-mul]

-20%

2.2 ms2.7 ms

test_elemwise[side=100-rank=2-format='coo'-mul]Regression

benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=2-format='coo'-mul]

-18%

2.4 ms2.9 ms

test_elemwise[side=100-rank=2-format='gcxs'-add]Regression

benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=2-format='gcxs'-add]

-13%

6.7 ms7.7 ms

test_index_fancy[side=500-rank=1-format='gcxs']Regression

benchmarks/test_benchmark_coo.py::test_index_fancy[side=500-rank=1-format='gcxs']

-19%

1.3 ms1.6 ms

test_elemwise[side=100-rank=2-format='gcxs'-mul]Regression

benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=2-format='gcxs'-mul]

-11%

5.8 ms6.5 ms

test_elemwise[side=500-rank=1-format='coo'-add]Regression

benchmarks/test_benchmark_coo.py::test_elemwise[side=500-rank=1-format='coo'-add]

-22%

2.9 ms3.8 ms

test_elemwise[side=100-rank=1-format='coo'-add]Regression

benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=1-format='coo'-add]

-21%

2.9 ms3.7 ms

test_index_fancy[side=1000-rank=1-format='gcxs']Regression

benchmarks/test_benchmark_coo.py::test_index_fancy[side=1000-rank=1-format='gcxs']

-15%

1.8 ms2.1 ms

test_elemwise[side=100-rank=2-format='coo'-add]Regression

benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=2-format='coo'-add]

-20%

3.3 ms4.1 ms

test_gcxs_dot_ndarray[coo-m=200-n=500-p=200]Regression

benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=200-n=500-p=200]

-11%

2.4 ms2.7 ms

test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=200-p=200]Regression

benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=200-p=200]

-13%

1.5 ms1.7 ms

test_elemwise[f=<built-in function add>-backend='Numba'-side=100]Regression

benchmarks/test_elemwise.py::test_elemwise[f=<built-in function add>-backend='Numba'-side=100]

-21%

3.1 ms3.9 ms

test_gcxs_dot_ndarray[coo-m=200-n=200-p=200]Regression

benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=200-n=200-p=200]

-13%

1.9 ms2.2 ms

test_elemwise[f=<built-in function add>-backend='Numba'-side=500]Regression

benchmarks/test_elemwise.py::test_elemwise[f=<built-in function add>-backend='Numba'-side=500]

-20%

3.5 ms4.3 ms

test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=200-p=200]Regression

benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=200-p=200]

-10%

2 ms2.2 ms

test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=500-p=200]Regression

benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=500-p=200]

-11%

1.9 ms2.1 ms

test_elemwise[f=<built-in function mul>-backend='Numba'-side=1000]Regression

benchmarks/test_elemwise.py::test_elemwise[f=<built-in function mul>-backend='Numba'-side=1000]

-15%

2.9 ms3.4 ms

test_elemwise[f=<built-in function mul>-backend='Numba'-side=500]Regression

benchmarks/test_elemwise.py::test_elemwise[f=<built-in function mul>-backend='Numba'-side=500]

-18%

2.5 ms3 ms

test_gcxs_dot_ndarray[coo-m=500-n=200-p=200]Regression

benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=500-n=200-p=200]

-10%

2.6 ms2.8 ms

test_elemwise[f=<built-in function mul>-backend='Numba'-side=100]Regression

benchmarks/test_elemwise.py::test_elemwise[f=<built-in function mul>-backend='Numba'-side=100]

-19%

2.3 ms2.8 ms

test_elemwise[f=<built-in function add>-backend='Numba'-side=1000]Regression

benchmarks/test_elemwise.py::test_elemwise[f=<built-in function add>-backend='Numba'-side=1000]

-15%

4.7 ms5.5 ms

test_elemwise[f=<built-in function gt>-backend='Numba'-side=100]Regression

benchmarks/test_elemwise.py::test_elemwise[f=<built-in function gt>-backend='Numba'-side=100]

-21%

2.5 ms3.2 ms

test_elemwise[f=<built-in function gt>-backend='Finch'-side=1000]Regression

benchmarks/test_elemwise.py::test_elemwise[f=<built-in function gt>-backend='Finch'-side=1000]

-98%

1.4 ms64.8 ms

test_elemwise[f=<built-in function gt>-backend='Numba'-side=1000]Regression

benchmarks/test_elemwise.py::test_elemwise[f=<built-in function gt>-backend='Numba'-side=1000]

-16%

3.3 ms4 ms

test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=20-q=50-COO]Regression

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]

-21%

2.9 ms3.7 ms

test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=50-q=10-ndarray]Regression

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]

-20%

1.4 ms1.7 ms

test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=20-q=10-COO]Regression

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]

-26%

2.1 ms2.9 ms

test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=20-q=50-ndarray]Regression

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]

-19%

1.5 ms1.8 ms

test_elemwise[f=<built-in function gt>-backend='Numba'-side=500]Regression

benchmarks/test_elemwise.py::test_elemwise[f=<built-in function gt>-backend='Numba'-side=500]

-19%

2.8 ms3.4 ms

test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=50-q=50-COO]Regression

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]

-11%

6.5 ms7.3 ms

test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=20-q=50-ndarray]Regression

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]

-15%

1.9 ms2.2 ms

test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=50-q=50-COO]Regression

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]

-14%

4.7 ms5.4 ms

test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=50-q=50-ndarray]Regression

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]

-15%

2 ms2.4 ms

test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=50-q=10-ndarray]Regression

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]

-19%

1.5 ms1.8 ms

test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=20-q=50-COO]Regression

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]

-18%

3.7 ms4.5 ms

test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=20-q=10-COO]Regression

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]

-25%

2.3 ms3 ms

test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=50-q=10-COO]Regression

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]

-24%

2.4 ms3.2 ms

test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=50-q=50-ndarray]Regression

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]

-10%

2.9 ms3.2 ms

test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=50-q=10-ndarray]Regression

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]

-15%

2 ms2.3 ms

test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=20-q=10-ndarray]Regression

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]

-21%

1.3 ms1.7 ms

test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=50-q=10-COO]Regression

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]

-22%

2.8 ms3.5 ms

test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=20-q=10-ndarray]Regression

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]

-21%

1.3 ms1.6 ms

test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=20-q=10-COO]Regression

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]

-23%

2.5 ms3.3 ms

test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=20-q=10-COO]Regression

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]

-20%

3.1 ms3.9 ms

test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=20-q=50-COO]Regression

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]

-13%

5.3 ms6.1 ms

test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=50-q=10-COO]Regression

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]

-18%

3.6 ms4.3 ms

test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=20-q=10-ndarray]Regression

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]

-19%

1.5 ms1.8 ms

test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=50-q=50-COO]Regression

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]

-21%

3 ms3.9 ms

test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=20-q=50-ndarray]Regression

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]

-11%

2.8 ms3.1 ms

test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=20-q=50-ndarray]Regression

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]

-26%

2.4 ms3.2 ms

test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=20-q=10-COO]Regression

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]

-25%

2.3 ms3 ms

test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=20-q=50-COO]Regression

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]

-25%

2.5 ms3.4 ms

test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=20-q=10-ndarray]Regression

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]

-27%

2.2 ms3 ms

test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=50-q=10-ndarray]Regression

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]

-11%

2.8 ms3.1 ms

test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=20-q=10-COO]Regression

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]

-26%

2.4 ms3.2 ms

test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=20-q=10-COO]Regression

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]

-25%

2.5 ms3.3 ms

test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=50-q=50-COO]Regression

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]

-17%

3.9 ms4.7 ms

test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=50-q=10-ndarray]Regression

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]

-27%

2.2 ms3 ms

test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=20-q=50-ndarray]Regression

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]

-22%

2.7 ms3.5 ms

test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=50-q=10-COO]Regression

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]

-13%

4.9 ms5.6 ms

test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=20-q=10-ndarray]Regression

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]

-25%

2.3 ms3.1 ms

test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=20-q=50-COO]Regression

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]

-22%

2.9 ms3.7 ms

test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=50-q=50-ndarray]Regression

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]

-22%

2.9 ms3.7 ms

test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=50-q=10-ndarray]Regression

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]

-25%

2.4 ms3.2 ms

test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=20-q=10-ndarray]Regression

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]

-16%

1.8 ms2.2 ms

test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=50-q=10-ndarray]Regression

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]

-20%

1.4 ms1.7 ms

test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=50-q=10-COO]Regression

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]

-26%

2.4 ms3.2 ms

test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=50-q=50-ndarray]Regression

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]

-18%

3.7 ms4.5 ms

test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=20-q=50-COO]Regression

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]

-21%

1.9 ms2.5 ms

test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=50-q=10-ndarray]Regression

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]

-22%

2.8 ms3.7 ms

test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=50-q=10-COO]Regression

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]

-24%

1.7 ms2.3 ms

test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=50-q=10-ndarray]Regression

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]

-18%

1.5 ms1.9 ms

test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=20-q=10-COO]Regression

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]

-24%

1.7 ms2.2 ms

test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=50-q=50-COO]Regression

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]

-17%

2.7 ms3.3 ms

test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=50-q=10-COO]Regression

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]

-24%

2.5 ms3.3 ms

test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=50-q=50-COO]Regression

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]

-12%

6.2 ms7.1 ms

test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=20-q=10-ndarray]Regression

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]

-26%

2.1 ms2.8 ms

test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=20-q=50-ndarray]Regression

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]

-18%

1.5 ms1.9 ms

test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=50-q=50-ndarray]Regression

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]

-14%

2.1 ms2.4 ms

test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=50-q=50-ndarray]Regression

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]

-12%

6.1 ms6.9 ms

test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=20-q=10-ndarray]Regression

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]

-23%

2.7 ms3.5 ms

test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=50-q=10-COO]Regression

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]

-22%

1.9 ms2.4 ms

test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=20-q=50-COO]Regression

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]

-18%

3.8 ms4.6 ms

test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=50-q=10-COO]Regression

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]

-21%

3 ms3.8 ms

test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=50-q=50-COO]Regression

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]

-12%

3.8 ms4.3 ms

test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=20-q=10-COO]Regression

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]

-22%

2.9 ms3.7 ms

test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=20-q=10-ndarray]Regression

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]

-21%

1.3 ms1.7 ms

test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=50-q=10-ndarray]Regression

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]

-18%

3.7 ms4.5 ms

test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=20-q=50-COO]Regression

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]

-18%

2.4 ms2.9 ms

test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=50-q=10-ndarray]Regression

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]

-14%

2.1 ms2.4 ms

test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=50-q=50-ndarray]Regression

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]

-10%

3 ms3.4 ms

test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=50-q=10-COO]Regression

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]

-17%

3.9 ms4.7 ms

test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=20-q=50-COO]Regression

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]

-13%

5.4 ms6.2 ms

test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=20-q=50-ndarray]Regression

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]

-15%

1.9 ms2.3 ms

test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=20-q=10-ndarray]Regression

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]

-15%

1.9 ms2.3 ms

test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=50-q=10-COO]Regression

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]

-18%

2.5 ms3 ms

test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=20-q=50-ndarray]Regression

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]

-18%

3.7 ms4.4 ms

test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=20-q=50-ndarray]Regression

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]

-13%

5.2 ms6 ms

test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=50-q=10-COO]Regression

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]

-13%

3.4 ms3.9 ms

test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=20-q=50-COO]Regression

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]

-13%

3.5 ms4 ms

test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=20-q=10-ndarray]Regression

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]

-18%

1.5 ms1.9 ms

test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=20-q=10-COO]Regression

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]

-19%

2.3 ms2.8 ms

test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=20-q=50-ndarray]Regression

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]

-10%

3 ms3.4 ms

test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=50-q=10-ndarray]Regression

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]

-10%

3 ms3.4 ms

test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=20-q=10-COO]Regression

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]

-22%

1.9 ms2.4 ms

test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=20-q=10-ndarray]Regression

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]

-21%

1.3 ms1.6 ms

test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=20-q=10-COO]Regression

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]

-25%

1.6 ms2.1 ms

Improved

test_index_slice[side=100-rank=2-format='gcxs']

benchmarks/test_benchmark_coo.py::test_index_slice[side=100-rank=2-format='gcxs']

+49%

2.6 ms1.7 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]

+14%

498.4 µs437.2 µs

test_elemwise[f=<built-in function mul>-backend='SciPy'-side=100]

benchmarks/test_elemwise.py::test_elemwise[f=<built-in function mul>-backend='SciPy'-side=100]

+14%

500.5 µs440.2 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]

+13%

523.4 µs464.2 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]

+12%

462.4 µs411.4 µs

test_elemwise[f=<built-in function gt>-backend='SciPy'-side=100]

benchmarks/test_elemwise.py::test_elemwise[f=<built-in function gt>-backend='SciPy'-side=100]

+12%

462.4 µs411.6 µs

test_elemwise[f=<built-in function gt>-backend='SciPy'-side=500]

benchmarks/test_elemwise.py::test_elemwise[f=<built-in function gt>-backend='SciPy'-side=500]

+12%

478.3 µs428 µs

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]

+11%

524.7 µs472.4 µs

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]

+11%

581.7 µs525.1 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]

+10%

526.4 µs476.4 µs

Passed

test_index_scalar[side=100-rank=2-format='gcxs']

benchmarks/test_benchmark_coo.py::test_index_scalar[side=100-rank=2-format='gcxs']

+9%

1.3 ms1.2 ms

test_index_scalar[side=1000-rank=2-format='gcxs']

benchmarks/test_benchmark_coo.py::test_index_scalar[side=1000-rank=2-format='gcxs']

+9%

1.3 ms1.2 ms

test_index_scalar[side=500-rank=2-format='gcxs']

benchmarks/test_benchmark_coo.py::test_index_scalar[side=500-rank=2-format='gcxs']

+9%

1.3 ms1.2 ms

test_index_fancy[side=100-rank=2-format='gcxs']

benchmarks/test_benchmark_coo.py::test_index_fancy[side=100-rank=2-format='gcxs']

+9%

1.9 ms1.7 ms

test_index_scalar[side=100-rank=3-format='gcxs']

benchmarks/test_benchmark_coo.py::test_index_scalar[side=100-rank=3-format='gcxs']

+9%

1.4 ms1.3 ms

test_index_slice[side=500-rank=2-format='gcxs']

benchmarks/test_benchmark_coo.py::test_index_slice[side=500-rank=2-format='gcxs']

+7%

2.2 ms2.1 ms

test_index_slice[side=100-rank=3-format='gcxs']

benchmarks/test_benchmark_coo.py::test_index_slice[side=100-rank=3-format='gcxs']

+6%

3.1 ms2.9 ms

test_index_fancy[side=500-rank=2-format='gcxs']

benchmarks/test_benchmark_coo.py::test_index_fancy[side=500-rank=2-format='gcxs']

+6%

2.9 ms2.7 ms

test_index_scalar[side=100-rank=3-format='coo']

benchmarks/test_benchmark_coo.py::test_index_scalar[side=100-rank=3-format='coo']

+6%

407.9 µs386.4 µs

test_index_scalar[side=1000-rank=2-format='coo']

benchmarks/test_benchmark_coo.py::test_index_scalar[side=1000-rank=2-format='coo']

+5%

342.1 µs325.1 µs

test_index_scalar[side=100-rank=2-format='coo']

benchmarks/test_benchmark_coo.py::test_index_scalar[side=100-rank=2-format='coo']

+5%

341.9 µs325.4 µs

test_index_scalar[side=500-rank=2-format='coo']

benchmarks/test_benchmark_coo.py::test_index_scalar[side=500-rank=2-format='coo']

+5%

342 µs325.6 µs

test_index_slice[side=1000-rank=2-format='gcxs']

benchmarks/test_benchmark_coo.py::test_index_slice[side=1000-rank=2-format='gcxs']

+4%

3.8 ms3.7 ms

test_index_scalar[side=100-rank=1-format='coo']

benchmarks/test_benchmark_coo.py::test_index_scalar[side=100-rank=1-format='coo']

+4%

274.2 µs263.3 µs

test_index_scalar[side=1000-rank=1-format='coo']

benchmarks/test_benchmark_coo.py::test_index_scalar[side=1000-rank=1-format='coo']

+4%

275.5 µs264.8 µs

test_index_scalar[side=500-rank=1-format='coo']

benchmarks/test_benchmark_coo.py::test_index_scalar[side=500-rank=1-format='coo']

+4%

275.1 µs264.6 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]

+2%

680.5 µs667.7 µs

test_index_fancy[side=1000-rank=2-format='gcxs']

benchmarks/test_benchmark_coo.py::test_index_fancy[side=1000-rank=2-format='gcxs']

+2%

6 ms5.9 ms

test_index_fancy[side=100-rank=3-format='gcxs']

benchmarks/test_benchmark_coo.py::test_index_fancy[side=100-rank=3-format='gcxs']

+2%

6.5 ms6.4 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]

+2%

710.2 µs699.5 µs

test_elemwise[f=<built-in function add>-backend='Finch'-side=100]

benchmarks/test_elemwise.py::test_elemwise[f=<built-in function add>-backend='Finch'-side=100]

+1%

689.9 µs679.8 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%

683.3 µs673.2 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%

859.6 µs847 µs

test_elemwise[f=<built-in function mul>-backend='Finch'-side=100]

benchmarks/test_elemwise.py::test_elemwise[f=<built-in function mul>-backend='Finch'-side=100]

+1%

667.4 µs658.2 µs

test_elemwise[f=<built-in function add>-backend='Finch'-side=500]

benchmarks/test_elemwise.py::test_elemwise[f=<built-in function add>-backend='Finch'-side=500]

+1%

860.5 µs851 µs

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]

+1%

1.5 ms1.4 ms

test_elemwise_broadcast[side=1000-format='coo'-add]

benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=1000-format='coo'-add]

14.9 s14.9 s

test_elemwise_broadcast[side=1000-format='gcxs'-add]

benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=1000-format='gcxs'-add]

22.4 s22.4 s

test_elemwise_broadcast[side=500-format='gcxs'-add]

benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=500-format='gcxs'-add]

2.6 s2.6 s

test_elemwise_broadcast[side=500-format='coo'-add]

benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=500-format='coo'-add]

1.7 s1.7 s

test_elemwise_broadcast[side=1000-format='coo'-mul]

benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=1000-format='coo'-mul]

75.6 ms75.7 ms

test_elemwise_broadcast[side=1000-format='gcxs'-mul]

benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=1000-format='gcxs'-mul]

-1%

102.9 ms103.5 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]

-1%

33.4 ms33.7 ms

test_matmul[m=1000-n=500-p=1000-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=500-p=1000-gcxs]

-1%

23.8 ms24.1 ms

test_matmul[m=1000-n=1000-p=500-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=1000-p=500-gcxs]

-1%

21.7 ms21.9 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]

-1%

19.7 ms19.9 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]

-1%

18.9 ms19.1 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]

-1%

21.1 ms21.4 ms

test_matmul[m=1000-n=1000-p=1000-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=1000-p=1000-gcxs]

-1%

27.3 ms27.7 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]

-1%

13.7 ms13.9 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]

-2%

19.2 ms19.5 ms

test_matmul[m=500-n=1000-p=500-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=1000-p=500-gcxs]

-2%

15.3 ms15.5 ms

test_matmul[m=1000-n=200-p=1000-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=200-p=1000-gcxs]

-2%

14.7 ms15 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]

-2%

13.7 ms13.9 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%

3.9 ms3.9 ms

test_matmul[m=200-n=1000-p=500-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=1000-p=500-gcxs]

-2%

11.6 ms11.8 ms

test_gcxs_dot_ndarray[coo-m=1000-n=1000-p=500]

benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=1000-n=1000-p=500]

-2%

15.5 ms15.8 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]

-2%

12.5 ms12.7 ms

test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=200-p=1000]

benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=200-p=1000]

-2%

10.8 ms11 ms

test_matmul[m=1000-n=1000-p=1000-coo]

benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=1000-p=1000-coo]

-2%

39.4 ms40.2 ms

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 ms3 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]

-2%

12.2 ms12.4 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]

-2%

14.1 ms14.4 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]

-2%

10.8 ms11.1 ms

test_matmul[m=500-n=200-p=1000-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=200-p=1000-gcxs]

-2%

10.4 ms10.7 ms

test_matmul[m=1000-n=200-p=500-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=200-p=500-gcxs]

-2%

9.3 ms9.6 ms

test_matmul[m=1000-n=1000-p=200-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=1000-p=200-gcxs]

-2%

10.6 ms10.9 ms

test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=50-q=50-ndarray]

benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=50-q=50-ndarray]

-2%

10.8 ms11 ms

test_matmul[m=1000-n=500-p=500-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=500-p=500-gcxs]

-2%

13.9 ms14.2 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]

-2%

12 ms12.3 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]

-3%

11.8 ms12.1 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]

-3%

8.8 ms9.1 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]

-3%

8.4 ms8.7 ms

test_matmul[m=500-n=1000-p=1000-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=1000-p=1000-gcxs]

-3%

14.7 ms15.1 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]

-3%

8.8 ms9 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]

-3%

10.5 ms10.8 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]

-3%

8.5 ms8.8 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]

-3%

8.2 ms8.4 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]

-3%

8.2 ms8.4 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]

-3%

9.7 ms10 ms

test_matmul[m=500-n=1000-p=200-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=1000-p=200-gcxs]

-3%

8.3 ms8.5 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]

-3%

6.7 ms6.9 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]

-3%

6.7 ms6.9 ms

test_elemwise[side=1000-rank=2-format='coo'-add]

benchmarks/test_benchmark_coo.py::test_elemwise[side=1000-rank=2-format='coo'-add]

-3%

19.3 ms20 ms

test_matmul[m=500-n=200-p=500-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=200-p=500-gcxs]

-3%

7.2 ms7.5 ms

test_matmul[m=1000-n=500-p=1000-coo]

benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=500-p=1000-coo]

-3%

22.7 ms23.6 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]

-3%

6.2 ms6.5 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]

-3%

6.2 ms6.5 ms

test_elemwise[side=100-rank=3-format='gcxs'-add]

benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=3-format='gcxs'-add]

-3%

31.5 ms32.6 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]

-4%

8 ms8.3 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]

-4%

6.1 ms6.3 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]

-4%

6.1 ms6.3 ms

test_matmul[m=200-n=1000-p=200-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=1000-p=200-gcxs]

-4%

6.9 ms7.1 ms

test_matmul[m=500-n=1000-p=1000-coo]

benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=1000-p=1000-coo]

-4%

21.1 ms21.9 ms

test_matmul[m=1000-n=1000-p=500-coo]

benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=1000-p=500-coo]

-4%

21 ms21.8 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]

-4%

7.4 ms7.7 ms

test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=50-q=50-COO]

benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=50-q=50-COO]

-4%

11.6 ms12 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]

-4%

5.7 ms5.9 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]

-4%

5.7 ms5.9 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]

-4%

7.3 ms7.6 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]

-4%

5.6 ms5.8 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]

-4%

5.6 ms5.8 ms

test_matmul[m=500-n=500-p=1000-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=500-p=1000-gcxs]

-4%

9.8 ms10.2 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]

-4%

6.9 ms7.2 ms

test_elemwise[side=1000-rank=2-format='gcxs'-add]

benchmarks/test_benchmark_coo.py::test_elemwise[side=1000-rank=2-format='gcxs'-add]

-4%

27.5 ms28.7 ms

test_elemwise[side=100-rank=3-format='coo'-add]

benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=3-format='coo'-add]

-4%

21.1 ms22 ms

test_matmul[m=1000-n=200-p=200-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=200-p=200-gcxs]

-4%

6.1 ms6.4 ms

test_matmul[m=500-n=500-p=200-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=500-p=200-gcxs]

-4%

6.1 ms6.4 ms

test_index_fancy[side=500-rank=2-format='coo']

benchmarks/test_benchmark_coo.py::test_index_fancy[side=500-rank=2-format='coo']

-4%

1.7 ms1.8 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]

-4%

6.6 ms6.9 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]

-4%

6.4 ms6.7 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]

-4%

4.8 ms5 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]

-4%

4.8 ms5 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]

-5%

9.2 ms9.6 ms

test_elemwise_broadcast[side=500-format='gcxs'-mul]

benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=500-format='gcxs'-mul]

-5%

18.9 ms19.8 ms

test_matmul[m=200-n=500-p=200-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=500-p=200-gcxs]

-5%

5.4 ms5.7 ms

test_matmul[m=500-n=200-p=200-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=200-p=200-gcxs]

-5%

5.3 ms5.5 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]

-5%

4.5 ms4.8 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]

-5%

4.5 ms4.8 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]

-5%

17.1 ms18 ms

test_elemwise[side=1000-rank=2-format='gcxs'-mul]

benchmarks/test_benchmark_coo.py::test_elemwise[side=1000-rank=2-format='gcxs'-mul]

-5%

13.1 ms13.8 ms

test_matmul[m=200-n=1000-p=1000-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=1000-p=1000-gcxs]

-5%

7.4 ms7.8 ms

test_index_slice[side=100-rank=3-format='coo']

benchmarks/test_benchmark_coo.py::test_index_slice[side=100-rank=3-format='coo']

-5%

1.2 ms1.3 ms

test_index_fancy[side=1000-rank=1-format='coo']

benchmarks/test_benchmark_coo.py::test_index_fancy[side=1000-rank=1-format='coo']

-5%

1.5 ms1.6 ms

test_elemwise[side=100-rank=3-format='gcxs'-mul]

benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=3-format='gcxs'-mul]

-5%

15.7 ms16.5 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]

-5%

3.9 ms4.2 ms

test_elemwise[side=100-rank=3-format='coo'-mul]

benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=3-format='coo'-mul]

-5%

9 ms9.5 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]

-5%

3.9 ms4.2 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]

-5%

5.9 ms6.2 ms

test_matmul[m=1000-n=500-p=500-coo]

benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=500-p=500-coo]

-6%

12.8 ms13.6 ms

test_elemwise_broadcast[side=500-format='coo'-mul]

benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=500-format='coo'-mul]

-6%

12.1 ms12.8 ms

test_gcxs_dot_ndarray[coo-m=1000-n=500-p=200]

benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=1000-n=500-p=200]

-6%

4.9 ms5.2 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]

-6%

3.8 ms4 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]

-6%

3.8 ms4 ms

test_elemwise_broadcast[side=100-format='coo'-add]

benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=100-format='coo'-add]

-6%

13.1 ms13.9 ms

test_index_slice[side=1000-rank=2-format='coo']

benchmarks/test_benchmark_coo.py::test_index_slice[side=1000-rank=2-format='coo']

-6%

1.4 ms1.5 ms

test_elemwise[side=1000-rank=2-format='coo'-mul]

benchmarks/test_benchmark_coo.py::test_elemwise[side=1000-rank=2-format='coo'-mul]

-6%

8.3 ms8.8 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]

-6%

3.6 ms3.8 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]

-6%

3.6 ms3.8 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]

-6%

4.6 ms4.9 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]

-6%

4.6 ms4.9 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]

-6%

4.6 ms4.9 ms

test_matmul[m=500-n=500-p=500-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=500-p=500-gcxs]

-6%

6.2 ms6.6 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]

-6%

10.7 ms11.4 ms

test_matmul[m=500-n=500-p=1000-coo]

benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=500-p=1000-coo]

-6%

12.8 ms13.6 ms

test_elemwise_broadcast[side=100-format='gcxs'-add]

benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=100-format='gcxs'-add]

-6%

20.7 ms22 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]

-6%

5.2 ms5.6 ms

test_matmul[m=200-n=500-p=1000-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=500-p=1000-gcxs]

-6%

5.5 ms5.8 ms

test_index_fancy[side=100-rank=1-format='coo']

benchmarks/test_benchmark_coo.py::test_index_fancy[side=100-rank=1-format='coo']

-6%

1.4 ms1.5 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]

-6%

3.3 ms3.5 ms

test_matmul[m=1000-n=200-p=1000-coo]

benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=200-p=1000-coo]

-6%

13.2 ms14.1 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]

-6%

3.3 ms3.5 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]

-6%

4.2 ms4.5 ms

test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=500-p=200]

benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=500-p=200]

-6%

3.2 ms3.5 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]

-6%

3.3 ms3.5 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]

-6%

4.9 ms5.3 ms

test_matmul[m=500-n=1000-p=500-coo]

benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=1000-p=500-coo]

-7%

11.7 ms12.5 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]

-7%

3 ms3.3 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]

-7%

3 ms3.3 ms

test_matmul[m=200-n=1000-p=1000-coo]

benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=1000-p=1000-coo]

-7%

10.3 ms11 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]

-7%

2.8 ms3.1 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]

-7%

3.7 ms4 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]

-7%

2.8 ms3.1 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]

-7%

4.4 ms4.7 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]

-7%

6.7 ms7.2 ms

test_matmul[m=1000-n=500-p=200-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=500-p=200-gcxs]

-7%

5.4 ms5.8 ms

test_index_fancy[side=500-rank=1-format='coo']

benchmarks/test_benchmark_coo.py::test_index_fancy[side=500-rank=1-format='coo']

-8%

995.4 µs1,076.5 µs

test_elemwise[side=500-rank=2-format='gcxs'-add]

benchmarks/test_benchmark_coo.py::test_elemwise[side=500-rank=2-format='gcxs'-add]

-8%

11.7 ms12.7 ms

test_gcxs_dot_ndarray[coo-m=500-n=500-p=200]

benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=500-n=500-p=200]

-8%

3.4 ms3.6 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]

-8%

10.2 ms11.1 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]

-8%

3.3 ms3.6 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]

-8%

10 ms10.9 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]

-8%

2.5 ms2.7 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]

-8%

2.5 ms2.7 ms

test_matmul[m=1000-n=1000-p=200-coo]

benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=1000-p=200-coo]

-8%

9.5 ms10.4 ms

test_index_slice[side=500-rank=2-format='coo']

benchmarks/test_benchmark_coo.py::test_index_slice[side=500-rank=2-format='coo']

-8%

784.1 µs856.7 µs

test_elemwise[side=500-rank=2-format='gcxs'-mul]

benchmarks/test_benchmark_coo.py::test_elemwise[side=500-rank=2-format='gcxs'-mul]

-9%

7.6 ms8.3 ms

test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=500-p=200]

benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=500-p=200]

-9%

2.4 ms2.6 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]

-9%

2.4 ms2.6 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]

-9%

2.4 ms2.6 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]

-9%

2.4 ms2.6 ms

test_matmul[m=200-n=200-p=1000-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=200-p=1000-gcxs]

-9%

4.1 ms4.5 ms

test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=20-q=50-COO]

benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=20-q=50-COO]

-9%

5.4 ms5.9 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]

-9%

8 ms8.8 ms

test_index_fancy[side=100-rank=2-format='coo']

benchmarks/test_benchmark_coo.py::test_index_fancy[side=100-rank=2-format='coo']

-9%

722.9 µs795.5 µs

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]

-9%

2.9 ms3.2 ms

test_matmul[m=200-n=500-p=500-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=500-p=500-gcxs]

-9%

3.9 ms4.3 ms

test_matmul[m=500-n=200-p=1000-coo]

benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=200-p=1000-coo]

-10%

7.7 ms8.5 ms

test_matmul[m=1000-n=200-p=500-coo]

benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=200-p=500-coo]

-10%

7.7 ms8.6 ms

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