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add TensorWaves benchmark results (pytest) benchmark result for da38b5e
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Dec 2, 2023
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@@ -1,5 +1,5 @@ | ||
window.BENCHMARK_DATA = { | ||
"lastUpdate": 1701536455516, | ||
"lastUpdate": 1701549245161, | ||
"repoUrl": "https://github.com/ComPWA/tensorwaves", | ||
"entries": { | ||
"TensorWaves benchmark results": [ | ||
|
@@ -15558,6 +15558,142 @@ window.BENCHMARK_DATA = { | |
"extra": "mean: 684.6336597999994 msec\nrounds: 5" | ||
} | ||
] | ||
}, | ||
{ | ||
"commit": { | ||
"author": { | ||
"email": "[email protected]", | ||
"name": "Remco de Boer", | ||
"username": "redeboer" | ||
}, | ||
"committer": { | ||
"email": "[email protected]", | ||
"name": "GitHub", | ||
"username": "web-flow" | ||
}, | ||
"distinct": true, | ||
"id": "da38b5e671c1617525935655dde3bc72d5b815ad", | ||
"message": "DX: remove `figure_formats = [\"svg\"]` statement (#507)\n\n* DOC: plot with SVG where needed", | ||
"timestamp": "2023-12-02T21:31:13+01:00", | ||
"tree_id": "8d8aa701263b7fd9495426c1c3e24dbd17582995", | ||
"url": "https://github.com/ComPWA/tensorwaves/commit/da38b5e671c1617525935655dde3bc72d5b815ad" | ||
}, | ||
"date": 1701549244589, | ||
"tool": "pytest", | ||
"benches": [ | ||
{ | ||
"name": "benchmarks/ampform.py::TestJPsiToGammaPiPi::test_data[10000-jax]", | ||
"value": 0.4490813952713488, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0", | ||
"extra": "mean: 2.226767820999953 sec\nrounds: 1" | ||
}, | ||
{ | ||
"name": "benchmarks/ampform.py::TestJPsiToGammaPiPi::test_data[10000-numpy]", | ||
"value": 0.3636068625588475, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0", | ||
"extra": "mean: 2.750223119999987 sec\nrounds: 1" | ||
}, | ||
{ | ||
"name": "benchmarks/ampform.py::TestJPsiToGammaPiPi::test_data[10000-tf]", | ||
"value": 0.40763050471493895, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0", | ||
"extra": "mean: 2.4532020750000356 sec\nrounds: 1" | ||
}, | ||
{ | ||
"name": "benchmarks/ampform.py::TestJPsiToGammaPiPi::test_fit[10000-jax]", | ||
"value": 0.714564387761717, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0", | ||
"extra": "mean: 1.3994540129999677 sec\nrounds: 1" | ||
}, | ||
{ | ||
"name": "benchmarks/expression.py::test_data[3000-jax]", | ||
"value": 25.939568457661586, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.00027541674177900184", | ||
"extra": "mean: 38.55114250000705 msec\nrounds: 12" | ||
}, | ||
{ | ||
"name": "benchmarks/expression.py::test_data[3000-numpy]", | ||
"value": 170.17494080236298, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.00029720799702435827", | ||
"extra": "mean: 5.8763058490578555 msec\nrounds: 159" | ||
}, | ||
{ | ||
"name": "benchmarks/expression.py::test_data[3000-numba]", | ||
"value": 4.362210925082705, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.10470255082422625", | ||
"extra": "mean: 229.24155140000266 msec\nrounds: 5" | ||
}, | ||
{ | ||
"name": "benchmarks/expression.py::test_data[3000-tf]", | ||
"value": 95.75564450854823, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.0006786672698816303", | ||
"extra": "mean: 10.443248595237941 msec\nrounds: 84" | ||
}, | ||
{ | ||
"name": "benchmarks/expression.py::test_fit[1000-Minuit2-jax]", | ||
"value": 9.249125472064113, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.0017857324212486574", | ||
"extra": "mean: 108.11832999999638 msec\nrounds: 6" | ||
}, | ||
{ | ||
"name": "benchmarks/expression.py::test_fit[1000-Minuit2-numpy]", | ||
"value": 9.705133349284818, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.0021907046726763724", | ||
"extra": "mean: 103.03825449999522 msec\nrounds: 10" | ||
}, | ||
{ | ||
"name": "benchmarks/expression.py::test_fit[1000-Minuit2-numba]", | ||
"value": 9.77412408856039, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.0022319249689635797", | ||
"extra": "mean: 102.31095809090428 msec\nrounds: 11" | ||
}, | ||
{ | ||
"name": "benchmarks/expression.py::test_fit[1000-Minuit2-tf]", | ||
"value": 1.2680259407178114, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.002676557762515703", | ||
"extra": "mean: 788.6273993999794 msec\nrounds: 5" | ||
}, | ||
{ | ||
"name": "benchmarks/expression.py::test_fit[1000-ScipyMinimizer-jax]", | ||
"value": 8.901342888277512, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.0005747430298513004", | ||
"extra": "mean: 112.34259959999235 msec\nrounds: 5" | ||
}, | ||
{ | ||
"name": "benchmarks/expression.py::test_fit[1000-ScipyMinimizer-numpy]", | ||
"value": 9.72572622442682, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.0002499401362877193", | ||
"extra": "mean: 102.82008529999871 msec\nrounds: 10" | ||
}, | ||
{ | ||
"name": "benchmarks/expression.py::test_fit[1000-ScipyMinimizer-numba]", | ||
"value": 9.65750430679057, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.0003970488454905921", | ||
"extra": "mean: 103.54642030000036 msec\nrounds: 10" | ||
}, | ||
{ | ||
"name": "benchmarks/expression.py::test_fit[1000-ScipyMinimizer-tf]", | ||
"value": 1.4699796598238082, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.0008940639468483801", | ||
"extra": "mean: 680.2815218000092 msec\nrounds: 5" | ||
} | ||
] | ||
} | ||
] | ||
} | ||
|