add Benchmark (pytest) benchmark result for 4b3c2668ba82622c4923d8c4c9c1baa69c7ddacf
diff --git a/dev/bench/data.js b/dev/bench/data.js
index edbc85c..df9f7b1 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
window.BENCHMARK_DATA = {
- "lastUpdate": 1719528536364,
+ "lastUpdate": 1719612312735,
"repoUrl": "https://github.com/MPACT-ORG/mpact-compiler",
"entries": {
"Benchmark": [
@@ -106,6 +106,110 @@
"extra": "mean: 46.862441421051486 msec\nrounds: 19"
}
]
+ },
+ {
+ "commit": {
+ "author": {
+ "name": "MPACT-ORG",
+ "username": "MPACT-ORG"
+ },
+ "committer": {
+ "name": "MPACT-ORG",
+ "username": "MPACT-ORG"
+ },
+ "id": "4b3c2668ba82622c4923d8c4c9c1baa69c7ddacf",
+ "message": "[mpact][benchmark] add regression benchmark to gh page",
+ "timestamp": "2024-06-28T20:55:50Z",
+ "url": "https://github.com/MPACT-ORG/mpact-compiler/pull/52/commits/4b3c2668ba82622c4923d8c4c9c1baa69c7ddacf"
+ },
+ "date": 1719612311853,
+ "tool": "pytest",
+ "benches": [
+ {
+ "name": "benchmark/python/benchmarks/regression_benchmark.py::test_mv_dense",
+ "value": 6751.379871492692,
+ "unit": "iter/sec",
+ "range": "stddev: 0.000009833798979422932",
+ "extra": "mean: 148.11786909257495 usec\nrounds: 1841"
+ },
+ {
+ "name": "benchmark/python/benchmarks/regression_benchmark.py::test_mm_dense",
+ "value": 33.86474121597165,
+ "unit": "iter/sec",
+ "range": "stddev: 0.00026651849392417",
+ "extra": "mean: 29.529237906249506 msec\nrounds: 32"
+ },
+ {
+ "name": "benchmark/python/benchmarks/regression_benchmark.py::test_add_dense",
+ "value": 5758.930502711753,
+ "unit": "iter/sec",
+ "range": "stddev: 0.000044023333220703534",
+ "extra": "mean: 173.6433526206163 usec\nrounds: 1469"
+ },
+ {
+ "name": "benchmark/python/benchmarks/regression_benchmark.py::test_mul_dense",
+ "value": 5777.4834942014395,
+ "unit": "iter/sec",
+ "range": "stddev: 0.000028187257621068578",
+ "extra": "mean: 173.0857389733174 usec\nrounds: 3582"
+ },
+ {
+ "name": "benchmark/python/benchmarks/regression_benchmark.py::test_nop_dense",
+ "value": 953214.3513921018,
+ "unit": "iter/sec",
+ "range": "stddev: 1.9841163030042895e-7",
+ "extra": "mean: 1.0490819809202108 usec\nrounds: 136166"
+ },
+ {
+ "name": "benchmark/python/benchmarks/regression_benchmark.py::test_sddmm_dense",
+ "value": 5.013373288554875,
+ "unit": "iter/sec",
+ "range": "stddev: 0.0011602113209591113",
+ "extra": "mean: 199.46649539999726 msec\nrounds: 5"
+ },
+ {
+ "name": "benchmark/python/benchmarks/regression_benchmark.py::test_mv_sparse",
+ "value": 12428.940664347065,
+ "unit": "iter/sec",
+ "range": "stddev: 0.000004762825437678532",
+ "extra": "mean: 80.45737983676612 usec\nrounds: 3075"
+ },
+ {
+ "name": "benchmark/python/benchmarks/regression_benchmark.py::test_mm_sparse",
+ "value": 21.516560306190904,
+ "unit": "iter/sec",
+ "range": "stddev: 0.0009302272687718569",
+ "extra": "mean: 46.47583004762488 msec\nrounds: 21"
+ },
+ {
+ "name": "benchmark/python/benchmarks/regression_benchmark.py::test_add_sparse",
+ "value": 211.12310940718018,
+ "unit": "iter/sec",
+ "range": "stddev: 0.0009240317536763013",
+ "extra": "mean: 4.73657290671748 msec\nrounds: 268"
+ },
+ {
+ "name": "benchmark/python/benchmarks/regression_benchmark.py::test_mul_sparse",
+ "value": 186.48264407731656,
+ "unit": "iter/sec",
+ "range": "stddev: 0.00008089085350596589",
+ "extra": "mean: 5.362429329269888 msec\nrounds: 164"
+ },
+ {
+ "name": "benchmark/python/benchmarks/regression_benchmark.py::test_nop_sparse",
+ "value": 960641.0805626576,
+ "unit": "iter/sec",
+ "range": "stddev: 2.0111703200201038e-7",
+ "extra": "mean: 1.0409715139542954 usec\nrounds: 112020"
+ },
+ {
+ "name": "benchmark/python/benchmarks/regression_benchmark.py::test_sddmm_sparse",
+ "value": 23.421250169062198,
+ "unit": "iter/sec",
+ "range": "stddev: 0.0006716290731200427",
+ "extra": "mean: 42.69626910526444 msec\nrounds: 19"
+ }
+ ]
}
]
}
