-
Notifications
You must be signed in to change notification settings - Fork 5
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
add Benchmark (pytest) benchmark result for 26eb462
- Loading branch information
github-action-benchmark
committed
Sep 3, 2024
1 parent
54f5316
commit 20d4bb2
Showing
1 changed file
with
109 additions
and
1 deletion.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -1,5 +1,5 @@ | ||
window.BENCHMARK_DATA = { | ||
"lastUpdate": 1724790820082, | ||
"lastUpdate": 1725400020262, | ||
"repoUrl": "https://github.com/MPACT-ORG/mpact-compiler", | ||
"entries": { | ||
"Benchmark": [ | ||
|
@@ -1822,6 +1822,114 @@ window.BENCHMARK_DATA = { | |
"extra": "mean: 48.39686200000099 msec\nrounds: 18" | ||
} | ||
] | ||
}, | ||
{ | ||
"commit": { | ||
"author": { | ||
"email": "[email protected]", | ||
"name": "Aart Bik", | ||
"username": "aartbik" | ||
}, | ||
"committer": { | ||
"email": "[email protected]", | ||
"name": "GitHub", | ||
"username": "web-flow" | ||
}, | ||
"distinct": true, | ||
"id": "26eb462a75e50d311bf334f19704440057f0f116", | ||
"message": "[mpact] bump torch-mlir to @b3942ff984cdb44e3f (#74)", | ||
"timestamp": "2024-09-03T13:01:56-07:00", | ||
"tree_id": "f6363f6ef8074bddc967a0de7f9c6cdbcf122d67", | ||
"url": "https://github.com/MPACT-ORG/mpact-compiler/commit/26eb462a75e50d311bf334f19704440057f0f116" | ||
}, | ||
"date": 1725400019910, | ||
"tool": "pytest", | ||
"benches": [ | ||
{ | ||
"name": "benchmark/python/benchmarks/regression_benchmark.py::test_mv_dense", | ||
"value": 6608.5235602338835, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.000012999660023066775", | ||
"extra": "mean: 151.31972987391586 usec\nrounds: 1688" | ||
}, | ||
{ | ||
"name": "benchmark/python/benchmarks/regression_benchmark.py::test_mm_dense", | ||
"value": 33.85043887887076, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.0004723569816994782", | ||
"extra": "mean: 29.54171446870646 msec\nrounds: 32" | ||
}, | ||
{ | ||
"name": "benchmark/python/benchmarks/regression_benchmark.py::test_add_dense", | ||
"value": 5438.001514440372, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.00007225477239291452", | ||
"extra": "mean: 183.89108523499752 usec\nrounds: 1232" | ||
}, | ||
{ | ||
"name": "benchmark/python/benchmarks/regression_benchmark.py::test_mul_dense", | ||
"value": 5616.977728861529, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.000048754378955402405", | ||
"extra": "mean: 178.0316832772424 usec\nrounds: 1885" | ||
}, | ||
{ | ||
"name": "benchmark/python/benchmarks/regression_benchmark.py::test_nop_dense", | ||
"value": 867518.5803625713, | ||
"unit": "iter/sec", | ||
"range": "stddev: 2.1256613866638432e-7", | ||
"extra": "mean: 1.1527130630240328 usec\nrounds: 156446" | ||
}, | ||
{ | ||
"name": "benchmark/python/benchmarks/regression_benchmark.py::test_sddmm_dense", | ||
"value": 31.58257711288872, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.0005082459069682249", | ||
"extra": "mean: 31.66302725789607 msec\nrounds: 31" | ||
}, | ||
{ | ||
"name": "benchmark/python/benchmarks/regression_benchmark.py::test_mv_sparse", | ||
"value": 12672.286852141515, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.000005175886824330942", | ||
"extra": "mean: 78.91235509958553 usec\nrounds: 3202" | ||
}, | ||
{ | ||
"name": "benchmark/python/benchmarks/regression_benchmark.py::test_mm_sparse", | ||
"value": 19.551174021031756, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.0010404900039996526", | ||
"extra": "mean: 51.14782359996752 msec\nrounds: 20" | ||
}, | ||
{ | ||
"name": "benchmark/python/benchmarks/regression_benchmark.py::test_add_sparse", | ||
"value": 196.57546822076378, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.0005790844400840762", | ||
"extra": "mean: 5.087104759567209 msec\nrounds: 262" | ||
}, | ||
{ | ||
"name": "benchmark/python/benchmarks/regression_benchmark.py::test_mul_sparse", | ||
"value": 184.4526779027448, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.00008750977479085007", | ||
"extra": "mean: 5.4214447378598845 msec\nrounds: 164" | ||
}, | ||
{ | ||
"name": "benchmark/python/benchmarks/regression_benchmark.py::test_nop_sparse", | ||
"value": 868132.387859167, | ||
"unit": "iter/sec", | ||
"range": "stddev: 1.732795357918776e-7", | ||
"extra": "mean: 1.1518980445667064 usec\nrounds: 136725" | ||
}, | ||
{ | ||
"name": "benchmark/python/benchmarks/regression_benchmark.py::test_sddmm_sparse", | ||
"value": 21.444961736265242, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.002911595575768531", | ||
"extra": "mean: 46.63099949993921 msec\nrounds: 18" | ||
} | ||
] | ||
} | ||
] | ||
} | ||
|