add Benchmark (pytest) benchmark result for 59fc5a073bebb037b2051bbe7c8a63dcf2ad82dc
diff --git a/dev/bench/data.js b/dev/bench/data.js
index df9f7b1..cdc93ad 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
window.BENCHMARK_DATA = {
- "lastUpdate": 1719612312735,
+ "lastUpdate": 1719612807752,
"repoUrl": "https://github.com/MPACT-ORG/mpact-compiler",
"entries": {
"Benchmark": [
@@ -210,6 +210,110 @@
"extra": "mean: 42.69626910526444 msec\nrounds: 19"
}
]
+ },
+ {
+ "commit": {
+ "author": {
+ "name": "MPACT-ORG",
+ "username": "MPACT-ORG"
+ },
+ "committer": {
+ "name": "MPACT-ORG",
+ "username": "MPACT-ORG"
+ },
+ "id": "59fc5a073bebb037b2051bbe7c8a63dcf2ad82dc",
+ "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/59fc5a073bebb037b2051bbe7c8a63dcf2ad82dc"
+ },
+ "date": 1719612806541,
+ "tool": "pytest",
+ "benches": [
+ {
+ "name": "benchmark/python/benchmarks/regression_benchmark.py::test_mv_dense",
+ "value": 5909.837407029962,
+ "unit": "iter/sec",
+ "range": "stddev: 0.000008143470165037013",
+ "extra": "mean: 169.2093929370145 usec\nrounds: 1784"
+ },
+ {
+ "name": "benchmark/python/benchmarks/regression_benchmark.py::test_mm_dense",
+ "value": 34.25301200542631,
+ "unit": "iter/sec",
+ "range": "stddev: 0.0003366944250263363",
+ "extra": "mean: 29.19451287500152 msec\nrounds: 32"
+ },
+ {
+ "name": "benchmark/python/benchmarks/regression_benchmark.py::test_add_dense",
+ "value": 5882.077387952132,
+ "unit": "iter/sec",
+ "range": "stddev: 0.00003686250866771616",
+ "extra": "mean: 170.0079638612429 usec\nrounds: 2352"
+ },
+ {
+ "name": "benchmark/python/benchmarks/regression_benchmark.py::test_mul_dense",
+ "value": 5877.128788845766,
+ "unit": "iter/sec",
+ "range": "stddev: 0.000029053414735450336",
+ "extra": "mean: 170.1511122059985 usec\nrounds: 3654"
+ },
+ {
+ "name": "benchmark/python/benchmarks/regression_benchmark.py::test_nop_dense",
+ "value": 954326.869162598,
+ "unit": "iter/sec",
+ "range": "stddev: 2.122459628214424e-7",
+ "extra": "mean: 1.0478590012638742 usec\nrounds: 122760"
+ },
+ {
+ "name": "benchmark/python/benchmarks/regression_benchmark.py::test_sddmm_dense",
+ "value": 4.968651510614152,
+ "unit": "iter/sec",
+ "range": "stddev: 0.0006829851952923742",
+ "extra": "mean: 201.26185099996974 msec\nrounds: 5"
+ },
+ {
+ "name": "benchmark/python/benchmarks/regression_benchmark.py::test_mv_sparse",
+ "value": 12373.282557341212,
+ "unit": "iter/sec",
+ "range": "stddev: 0.0000045490635324041385",
+ "extra": "mean: 80.81929717241351 usec\nrounds: 2830"
+ },
+ {
+ "name": "benchmark/python/benchmarks/regression_benchmark.py::test_mm_sparse",
+ "value": 21.285310885533054,
+ "unit": "iter/sec",
+ "range": "stddev: 0.0015616750096097195",
+ "extra": "mean: 46.980756136367646 msec\nrounds: 22"
+ },
+ {
+ "name": "benchmark/python/benchmarks/regression_benchmark.py::test_add_sparse",
+ "value": 203.30817935712298,
+ "unit": "iter/sec",
+ "range": "stddev: 0.0007360380529483004",
+ "extra": "mean: 4.9186412625506835 msec\nrounds: 259"
+ },
+ {
+ "name": "benchmark/python/benchmarks/regression_benchmark.py::test_mul_sparse",
+ "value": 188.23867331086552,
+ "unit": "iter/sec",
+ "range": "stddev: 0.00010421745534155547",
+ "extra": "mean: 5.312404631903438 msec\nrounds: 163"
+ },
+ {
+ "name": "benchmark/python/benchmarks/regression_benchmark.py::test_nop_sparse",
+ "value": 949008.389438308,
+ "unit": "iter/sec",
+ "range": "stddev: 1.9566124260579267e-7",
+ "extra": "mean: 1.053731464473009 usec\nrounds: 181786"
+ },
+ {
+ "name": "benchmark/python/benchmarks/regression_benchmark.py::test_sddmm_sparse",
+ "value": 22.958249302316247,
+ "unit": "iter/sec",
+ "range": "stddev: 0.0018635426701932051",
+ "extra": "mean: 43.55732821052303 msec\nrounds: 19"
+ }
+ ]
}
]
}
