)]}'
{
  "commit": "038c54d341bb9abcd4d1f1be5bb6895f32cb45b7",
  "tree": "f454242fe1d3a9b7b5f2cacdc88b163200ce4dae",
  "parents": [
    "68a7e6212203c4891a2669adecbcbf75d6851ab4"
  ],
  "author": {
    "name": "Sameer Agarwal",
    "email": "sameeragarwal@google.com",
    "time": "Fri Oct 09 17:22:31 2026 -0700"
  },
  "committer": {
    "name": "Sameer Agarwal",
    "email": "sameeragarwal@google.com",
    "time": "Wed Oct 21 15:18:40 2026 -0700"
  },
  "message": "Unify cost function differentiation benchmarks\n\nReplace internal/ceres/autodiff_benchmarks/ with\ninternal/ceres/benchmark_cost_functions.h and\ninternal/ceres/cost_function_differentiation_benchmark.cc:\n- Consolidate the benchmark cost functors into\n  internal/ceres/benchmark_cost_functions.h as self-contained structs\n  inheriting from BenchmarkCostFunctor\u003ckNumResiduals, Ns...\u003e with\n  default constructors and MakeParameters(), and remove the\n  internal/ceres/autodiff_benchmarks/ subdirectory.\n- Add nine real-world camera projection, epipolar, and SLAM cost\n  functors (OpenCV, FullOpenCV, Rig, Sampson, Fisheye, and Spherical\n  from COLMAP; Brown-Conrady and Nuke InvertIntrinsics from Blender\n  libmv; and PoseGraph3dError from Ceres).\n- Benchmark AutoDiffCostFunction (static and dynamic residuals),\n  DynamicAutoDiffCostFunction, NumericDiffCostFunction, and\n  DynamicNumericDiffCostFunction (FORWARD, CENTRAL, RIDDERS) using a\n  single BM_CostFunction\u003cCostFunctor, kDiffType, kEvalType\u003e template and\n  CostFunctionFactory in cost_function_differentiation_benchmark.cc.\n- Add CostFunctionToFunctor and DynamicCostFunctionToFunctor benchmarks.\n- Fix ConstantCostFunction to pass kParameterBlockSize instead of 1 and\n  remove redundant AnalyticConstantCostFunction.\n- Move -mllvm -inlinehint-threshold\u003d1000000 into\n  add_dependencies_to_benchmark in internal/ceres/CMakeLists.txt.\n\nChange-Id: Ic02f4d29a15b5faa606a5af033c19d0bfd1bba91\n",
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