SciML / BoundaryValueDiffEq.jl

Boundary value problem (BVP) solvers for scientific machine learning (SciML)
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[do not merge] rerun CI #149

Closed AayushSabharwal closed 6 months ago

AayushSabharwal commented 6 months ago

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github-actions[bot] commented 6 months ago

Benchmark Results

master df2e8f69db5bd8... t[master]/t[df2e8f69db5bd8...]
Simple Pendulum/IIP/MultipleShooting(10, Tsit5; grid_coarsening = false) 1.88 ± 0.077 ms 1.96 ± 0.089 ms 0.961
Simple Pendulum/IIP/MultipleShooting(10, Tsit5; grid_coarsening = true) 3.46 ± 0.11 ms 3.59 ± 0.13 ms 0.963
Simple Pendulum/IIP/MultipleShooting(100, Tsit5; grid_coarsening = false) 0.0553 ± 0.0043 s 0.0561 ± 0.0041 s 0.985
Simple Pendulum/IIP/MultipleShooting(100, Tsit5; grid_coarsening = true) 1.12 ± 0.0098 s 1.16 ± 0.0037 s 0.966
Simple Pendulum/IIP/Shooting(Tsit5()) 0.182 ± 0.0054 ms 0.182 ± 0.0055 ms 1
Simple Pendulum/OOP/MultipleShooting(10, Tsit5; grid_coarsening = false) 4.5 ± 0.33 ms 4.5 ± 0.27 ms 1
Simple Pendulum/OOP/MultipleShooting(10, Tsit5; grid_coarsening = true) 8.11 ± 4.8 ms 7.94 ± 4.6 ms 1.02
Simple Pendulum/OOP/MultipleShooting(100, Tsit5; grid_coarsening = false) 0.137 ± 0.0021 s 0.139 ± 0.0029 s 0.99
Simple Pendulum/OOP/MultipleShooting(100, Tsit5; grid_coarsening = true) 5.09 s 4.82 ± 0.011 s 1.06
Simple Pendulum/OOP/Shooting(Tsit5()) 0.755 ± 0.036 ms 0.714 ± 0.038 ms 1.06
time_to_load 8.16 ± 0.14 s 8.36 ± 0.037 s 0.975

Benchmark Plots

A plot of the benchmark results have been uploaded as an artifact to the workflow run for this PR. Go to "Actions"->"Benchmark a pull request"->[the most recent run]->"Artifacts" (at the bottom).