benchmarks: Initial DirectTrajOpt benchmark suite (Ipopt vs MadNLP)#75
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jack-champagne wants to merge 4 commits intofeat/madnlp-gpu-passthroughsfrom
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benchmarks: Initial DirectTrajOpt benchmark suite (Ipopt vs MadNLP)#75jack-champagne wants to merge 4 commits intofeat/madnlp-gpu-passthroughsfrom
jack-champagne wants to merge 4 commits intofeat/madnlp-gpu-passthroughsfrom
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…pt-initial" This reverts commit 83da076.
- Add docs/src/benchmarks.md mirroring CuQuantum.jl pattern: problem description, result tables, environment info, reproduction instructions - Wire benchmarks page into docs/make.jl - Extract shared problem constructors to benchmark/problem_utils.jl (make_bilinear_problem, make_scaled_problem) to eliminate duplication - Remove hardcoded package_version, pass runner consistently - Update README with docs link and regression detection example Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Remove fragile Base.loaded_modules_order lookup for MadNLPSolverExt; MadNLPOptions is exported directly from DirectTrajOpt - Change MadNLP print_level from 1 (TRACE) to 6 (ERROR) to match Ipopt's silent output and avoid polluting benchmark stdout - Derive state_dim/control_dim from problem_dims(prob) instead of hardcoding in micro-benchmark MicroBenchmarkResult - Set BENCHMARK_RUNNER=github-actions in CI workflow so results are distinguishable from local runs - Remove unused ForwardDiff and LinearAlgebra from benchmark/Project.toml Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Codecov Report✅ All modified and coverable lines are covered by tests. 📢 Thoughts on this report? Let us know! |
- Pin HarmoniqsBenchmarks source to fix/widen-dto-compat branch which has DirectTrajOpt compat "0.8, 0.9" (fixes Pkg.instantiate failure) - Run JuliaFormatter on benchmark files Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Re-open of #67 (was merged into wrong base, reverted, re-applied).
Summary
Initial benchmarking infrastructure for DirectTrajOpt.jl comparing Ipopt and MadNLP solvers.
Depends on: HarmoniqsBenchmarks.jl
What's included
benchmark/Project.toml— Benchmark environment with HarmoniqsBenchmarks, BenchmarkTools, TestItems, MadNLPbenchmark/benchmarks.jl— Three@testitemsuites:.github/workflows/benchmark.yml— CI workflowTest plan
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