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using Pkg | ||
Pkg.develop(PackageSpec(path=dirname(@__DIR__))) | ||
Pkg.instantiate() | ||
using PkgBenchmark, MixedModels | ||
# explicit `Pkg.add` is a crutch until we've got a good base on main | ||
using PkgBenchmark, MixedModels, Statistics | ||
# Pkg.update() allows us to benchmark even when dependencies/compat requirements change | ||
juliacmd = `$(Base.julia_cmd()) -O3 -e "using Pkg; Pkg.update(); Pkg.add([\"BenchmarkTools\", \"StatsModels\"])"` | ||
juliacmd = `$(Base.julia_cmd()) -O3 -e "using Pkg; Pkg.update()"` | ||
config = BenchmarkConfig(; id="origin/HEAD", juliacmd) | ||
export_markdown("benchmark.md", judge(MixedModels, config; verbose=true)) | ||
# for many of the smaller models, we get a lot of noise at the default 5% tolerance | ||
# TODO: specify a tune.json with per model time tolerances | ||
export_markdown("benchmark.md", judge(MixedModels, config; verbose=true, retune=false, f=median, judgekwargs=(;time_tolerance=0.1, memory_tolerance=0.05))) |
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[{"Julia":"1.9.2","BenchmarkTools":"1.0.0"},[["BenchmarkGroup",{"data":{"singlevector":["BenchmarkGroup",{"data":{"sleepstudy:3":["Parameters",{"gctrial":true,"time_tolerance":0.05,"samples":10000,"evals":1,"gcsample":false,"seconds":5.0,"overhead":0.0,"memory_tolerance":0.01}],"sleepstudy:2":["Parameters",{"gctrial":true,"time_tolerance":0.05,"samples":10000,"evals":1,"gcsample":false,"seconds":5.0,"overhead":0.0,"memory_tolerance":0.01}],"sleepstudy:4":["Parameters",{"gctrial":true,"time_tolerance":0.05,"samples":10000,"evals":1,"gcsample":false,"seconds":5.0,"overhead":0.0,"memory_tolerance":0.01}]},"tags":["single","vector"]}],"crossed":["BenchmarkGroup",{"data":{"kb07:1":["Parameters",{"gctrial":true,"time_tolerance":0.05,"samples":10000,"evals":1,"gcsample":false,"seconds":5.0,"overhead":0.0,"memory_tolerance":0.01}],"ml1m:1":["Parameters",{"gctrial":true,"time_tolerance":0.05,"samples":10000,"evals":1,"gcsample":false,"seconds":5.0,"overhead":0.0,"memory_tolerance":0.01}],"insteval:1":["Parameters",{"gctrial":true,"time_tolerance":0.05,"samples":10000,"evals":1,"gcsample":false,"seconds":5.0,"overhead":0.0,"memory_tolerance":0.01}],"insteval:2":["Parameters",{"gctrial":true,"time_tolerance":0.05,"samples":10000,"evals":1,"gcsample":false,"seconds":5.0,"overhead":0.0,"memory_tolerance":0.01}],"machines:1":["Parameters",{"gctrial":true,"time_tolerance":0.05,"samples":10000,"evals":1,"gcsample":false,"seconds":5.0,"overhead":0.0,"memory_tolerance":0.01}],"mrk17_exp1:1":["Parameters",{"gctrial":true,"time_tolerance":0.05,"samples":10000,"evals":1,"gcsample":false,"seconds":5.0,"overhead":0.0,"memory_tolerance":0.01}],"penicillin:1":["Parameters",{"gctrial":true,"time_tolerance":0.05,"samples":10000,"evals":1,"gcsample":false,"seconds":5.0,"overhead":0.0,"memory_tolerance":0.01}]},"tags":["multiple","crossed","scalar"]}],"crossedvector":["BenchmarkGroup",{"data":{"kb07:2":["Parameters",{"gctrial":true,"time_tolerance":0.05,"samples":10000,"evals":1,"gcsample":false,"seconds":5.0,"overhead":0.0,"memory_tolerance":0.01}],"d3:1":["Parameters",{"gctrial":true,"time_tolerance":0.05,"samples":10000,"evals":1,"gcsample":false,"seconds":5.0,"overhead":0.0,"memory_tolerance":0.01}],"kb07:3":["Parameters",{"gctrial":true,"time_tolerance":0.05,"samples":10000,"evals":1,"gcsample":false,"seconds":5.0,"overhead":0.0,"memory_tolerance":0.01}],"mrk17_exp1:2":["Parameters",{"gctrial":true,"time_tolerance":0.05,"samples":10000,"evals":1,"gcsample":false,"seconds":5.0,"overhead":0.0,"memory_tolerance":0.01}]},"tags":["multiple","crossed","vector"]}],"nested":["BenchmarkGroup",{"data":{"pastes:2":["Parameters",{"gctrial":true,"time_tolerance":0.05,"samples":10000,"evals":1,"gcsample":false,"seconds":5.0,"overhead":0.0,"memory_tolerance":0.01}]},"tags":["multiple","nested","scalar"]}]},"tags":[]}]]] |