add Benchmark (pytest) benchmark result for 6e2dc79d62c9ddaf18754c0b31ba1330855e627e
diff --git a/dev/bench/data.js b/dev/bench/data.js
index dcd0cab..07d3be0 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
window.BENCHMARK_DATA = {
- "lastUpdate": 1722382755802,
+ "lastUpdate": 1723660633491,
"repoUrl": "https://github.com/MPACT-ORG/mpact-compiler",
"entries": {
"Benchmark": [
@@ -1390,6 +1390,114 @@
"extra": "mean: 52.139098055555955 msec\nrounds: 18"
}
]
+ },
+ {
+ "commit": {
+ "author": {
+ "email": "yinyingli@google.com",
+ "name": "Yinying Li",
+ "username": "yinying-lisa-li"
+ },
+ "committer": {
+ "email": "noreply@github.com",
+ "name": "GitHub",
+ "username": "web-flow"
+ },
+ "distinct": true,
+ "id": "6e2dc79d62c9ddaf18754c0b31ba1330855e627e",
+ "message": "Update regression-benchmark.yml (#67)\n\nNotify Reid for regression in PR comment.",
+ "timestamp": "2024-08-14T09:56:54-07:00",
+ "tree_id": "127b62a4602ee9b789c45299d6ed3ab208f85b61",
+ "url": "https://github.com/MPACT-ORG/mpact-compiler/commit/6e2dc79d62c9ddaf18754c0b31ba1330855e627e"
+ },
+ "date": 1723660632659,
+ "tool": "pytest",
+ "benches": [
+ {
+ "name": "benchmark/python/benchmarks/regression_benchmark.py::test_mv_dense",
+ "value": 6730.209940234418,
+ "unit": "iter/sec",
+ "range": "stddev: 0.000007993033069341407",
+ "extra": "mean: 148.5837750798557 usec\nrounds: 1894"
+ },
+ {
+ "name": "benchmark/python/benchmarks/regression_benchmark.py::test_mm_dense",
+ "value": 35.74876160326441,
+ "unit": "iter/sec",
+ "range": "stddev: 0.00038259681939269765",
+ "extra": "mean: 27.972996969737956 msec\nrounds: 33"
+ },
+ {
+ "name": "benchmark/python/benchmarks/regression_benchmark.py::test_add_dense",
+ "value": 5894.952119312239,
+ "unit": "iter/sec",
+ "range": "stddev: 0.00003545673412430758",
+ "extra": "mean: 169.6366619711696 usec\nrounds: 2482"
+ },
+ {
+ "name": "benchmark/python/benchmarks/regression_benchmark.py::test_mul_dense",
+ "value": 5914.356700759963,
+ "unit": "iter/sec",
+ "range": "stddev: 0.00003549143614847271",
+ "extra": "mean: 169.08009621257798 usec\nrounds: 3014"
+ },
+ {
+ "name": "benchmark/python/benchmarks/regression_benchmark.py::test_nop_dense",
+ "value": 977801.5550972892,
+ "unit": "iter/sec",
+ "range": "stddev: 1.8820227749783258e-7",
+ "extra": "mean: 1.0227024029436138 usec\nrounds: 147646"
+ },
+ {
+ "name": "benchmark/python/benchmarks/regression_benchmark.py::test_sddmm_dense",
+ "value": 32.68183908452969,
+ "unit": "iter/sec",
+ "range": "stddev: 0.0004854319782700403",
+ "extra": "mean: 30.59803328122257 msec\nrounds: 32"
+ },
+ {
+ "name": "benchmark/python/benchmarks/regression_benchmark.py::test_mv_sparse",
+ "value": 12367.043881966343,
+ "unit": "iter/sec",
+ "range": "stddev: 0.000019841026616584518",
+ "extra": "mean: 80.86006725165767 usec\nrounds: 3242"
+ },
+ {
+ "name": "benchmark/python/benchmarks/regression_benchmark.py::test_mm_sparse",
+ "value": 20.107935645136358,
+ "unit": "iter/sec",
+ "range": "stddev: 0.00126426284645496",
+ "extra": "mean: 49.731609333147865 msec\nrounds: 21"
+ },
+ {
+ "name": "benchmark/python/benchmarks/regression_benchmark.py::test_add_sparse",
+ "value": 209.26130356747225,
+ "unit": "iter/sec",
+ "range": "stddev: 0.0009297746972612424",
+ "extra": "mean: 4.778714377441356 msec\nrounds: 257"
+ },
+ {
+ "name": "benchmark/python/benchmarks/regression_benchmark.py::test_mul_sparse",
+ "value": 188.1909622486649,
+ "unit": "iter/sec",
+ "range": "stddev: 0.00019604103659316013",
+ "extra": "mean: 5.31375145783386 msec\nrounds: 166"
+ },
+ {
+ "name": "benchmark/python/benchmarks/regression_benchmark.py::test_nop_sparse",
+ "value": 970370.95386269,
+ "unit": "iter/sec",
+ "range": "stddev: 1.859886996536609e-7",
+ "extra": "mean: 1.0305337314759555 usec\nrounds: 191939"
+ },
+ {
+ "name": "benchmark/python/benchmarks/regression_benchmark.py::test_sddmm_sparse",
+ "value": 20.272902892727608,
+ "unit": "iter/sec",
+ "range": "stddev: 0.0038779119607092677",
+ "extra": "mean: 49.326926947335444 msec\nrounds: 19"
+ }
+ ]
}
]
}
