{
  "schema_version": "slac.benchmark/v0.1",
  "benchmark_id": "glim-complete-continuous-time-cuda-full",
  "title": "Public GLIM Livox complete continuous-time refinement",
  "protocol": {
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    "dataset_id": "glim_versatile",
    "dataset_doi": "10.5281/zenodo.6864654",
    "dataset_source_sha256": "107e3deb3aaeab52628a93d8c6eed80aa1663c3492f6a4d2e280d553e47cd27c",
    "data_license": "CC-BY-4.0 (AIST Zenodo record 6864654)",
    "split_policy": "Latest capture frames held out; repeats share the same accuracy fixture",
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    "tuning_policy": "Reverse order every other repeat; child OMP_NUM_THREADS=1",
    "failure_policy": "Keep all timings and mismatches; no warmup or excluded outliers"
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  "trials": [
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      "status": "success",
      "metrics": {
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        "adaptive_query_seconds": 0.0,
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        "interpolated_pose_calculations": 434232.0,
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      "provenance": {
        "command": "<PYTHON> <WORKSPACE>/tools/benchmark_adaptive_plane_search.py --worker baseline --baseline-scope cuda-full --config examples/public_datasets/glim_versatile/online_continuous_time_compiled_full_capture_config.yaml --output-dir <WORKSPACE>/outputs/public-glim-linearization-reuse-full-v3/baseline.repeat-01 --candidate-query-backend cuda --baseline-query-backend cuda",
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    },
    {
      "method_id": "sparse",
      "split_id": "repeat-01",
      "status": "success",
      "metrics": {
        "adaptive_query_calls": 0.0,
        "adaptive_query_seconds": 0.0,
        "complete_result_matches": 1.0,
        "interpolated_pose_calculations": 434232.0,
        "pipeline_seconds": 51.824202300049365,
        "solver_seconds": 42.70037029997911,
        "subprocess_wall_seconds": 57.206190099939704,
        "uniform_normal_calculations": 883.0,
        "worker_cpu_seconds": 38.078125,
        "worker_import_seconds": 4.203837799956091
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      "runtime_seconds": 57.206190099939704,
      "provenance": {
        "command": "<PYTHON> <WORKSPACE>/tools/benchmark_adaptive_plane_search.py --worker sparse --baseline-scope cuda-full --config examples/public_datasets/glim_versatile/online_continuous_time_compiled_full_capture_config.yaml --output-dir <WORKSPACE>/outputs/public-glim-linearization-reuse-full-v3/sparse.repeat-01 --candidate-query-backend cuda --baseline-query-backend cuda",
        "config_sha256": "c6d93361d1628493be20a64d585394b2e437bffcbd548340a541cc12b1c602b3",
        "input_sha256": "107e3deb3aaeab52628a93d8c6eed80aa1663c3492f6a4d2e280d553e47cd27c",
        "output_sha256": "2097e72726217eb58dcd298ddada5638a004ce8a4f092405d8f04fcf42361e34",
        "execution_host": "Windows-11-10.0.26300-SP0",
        "notes": [
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    },
    {
      "method_id": "sparse",
      "split_id": "repeat-02",
      "status": "success",
      "metrics": {
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        "adaptive_query_seconds": 0.0,
        "complete_result_matches": 1.0,
        "interpolated_pose_calculations": 434232.0,
        "pipeline_seconds": 9.432027000002563,
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        "worker_import_seconds": 2.859769800095819
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      "runtime_seconds": 13.136498900013976,
      "provenance": {
        "command": "<PYTHON> <WORKSPACE>/tools/benchmark_adaptive_plane_search.py --worker sparse --baseline-scope cuda-full --config examples/public_datasets/glim_versatile/online_continuous_time_compiled_full_capture_config.yaml --output-dir <WORKSPACE>/outputs/public-glim-linearization-reuse-full-v3/sparse.repeat-02 --candidate-query-backend cuda --baseline-query-backend cuda",
        "config_sha256": "c6d93361d1628493be20a64d585394b2e437bffcbd548340a541cc12b1c602b3",
        "input_sha256": "107e3deb3aaeab52628a93d8c6eed80aa1663c3492f6a4d2e280d553e47cd27c",
        "output_sha256": "2097e72726217eb58dcd298ddada5638a004ce8a4f092405d8f04fcf42361e34",
        "execution_host": "Windows-11-10.0.26300-SP0",
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        ]
      }
    },
    {
      "method_id": "baseline",
      "split_id": "repeat-02",
      "status": "success",
      "metrics": {
        "adaptive_query_calls": 0.0,
        "adaptive_query_seconds": 0.0,
        "complete_result_matches": 1.0,
        "interpolated_pose_calculations": 434232.0,
        "pipeline_seconds": 12.341296899947338,
        "solver_seconds": 7.003360200091265,
        "subprocess_wall_seconds": 17.54102130001411,
        "uniform_normal_calculations": 883.0,
        "worker_cpu_seconds": 19.125,
        "worker_import_seconds": 4.239803700009361
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      "runtime_seconds": 17.54102130001411,
      "provenance": {
        "command": "<PYTHON> <WORKSPACE>/tools/benchmark_adaptive_plane_search.py --worker baseline --baseline-scope cuda-full --config examples/public_datasets/glim_versatile/online_continuous_time_compiled_full_capture_config.yaml --output-dir <WORKSPACE>/outputs/public-glim-linearization-reuse-full-v3/baseline.repeat-02 --candidate-query-backend cuda --baseline-query-backend cuda",
        "config_sha256": "c6d93361d1628493be20a64d585394b2e437bffcbd548340a541cc12b1c602b3",
        "input_sha256": "107e3deb3aaeab52628a93d8c6eed80aa1663c3492f6a4d2e280d553e47cd27c",
        "output_sha256": "4c77b87bd59419cebdce1315b56cd3b3203fe79adc3f3a81db2c9a08c4828523",
        "execution_host": "Windows-11-10.0.26300-SP0",
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      "metrics": {
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        "command": "<PYTHON> <WORKSPACE>/tools/benchmark_adaptive_plane_search.py --worker baseline --baseline-scope cuda-full --config examples/public_datasets/glim_versatile/online_continuous_time_compiled_full_capture_config.yaml --output-dir <WORKSPACE>/outputs/public-glim-linearization-reuse-full-v3/baseline.repeat-03 --candidate-query-backend cuda --baseline-query-backend cuda",
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        "command": "<PYTHON> <WORKSPACE>/tools/benchmark_adaptive_plane_search.py --worker sparse --baseline-scope cuda-full --config examples/public_datasets/glim_versatile/online_continuous_time_compiled_full_capture_config.yaml --output-dir <WORKSPACE>/outputs/public-glim-linearization-reuse-full-v3/sparse.repeat-03 --candidate-query-backend cuda --baseline-query-backend cuda",
        "config_sha256": "c6d93361d1628493be20a64d585394b2e437bffcbd548340a541cc12b1c602b3",
        "input_sha256": "107e3deb3aaeab52628a93d8c6eed80aa1663c3492f6a4d2e280d553e47cd27c",
        "output_sha256": "2097e72726217eb58dcd298ddada5638a004ce8a4f092405d8f04fcf42361e34",
        "execution_host": "Windows-11-10.0.26300-SP0",
        "notes": [
          "{\"cuda_cache_after\": {\"9ed58aaf0a8ff1513d8b1ff1f380f41d5d36ce51.cubin\": \"439af15bcb3e76072e7edf15df7826ea82900d542fef8a25a06add2bb01f6da4\", \"f4331870c33b1b7c90f548c88d07b801503c89e5.cubin\": \"84d63457c31f3966a080e1ce0b4a3b07748a9ea2aa61ff30168c7ea31a327b15\"}, \"cuda_cache_before\": {\"9ed58aaf0a8ff1513d8b1ff1f380f41d5d36ce51.cubin\": \"439af15bcb3e76072e7edf15df7826ea82900d542fef8a25a06add2bb01f6da4\", \"f4331870c33b1b7c90f548c88d07b801503c89e5.cubin\": \"84d63457c31f3966a080e1ce0b4a3b07748a9ea2aa61ff30168c7ea31a327b15\"}, \"execution_override\": \"cuda\", \"loaded_cuda_module\": \"<WORKSPACE>/src/calibrex/solvers/cuda_continuous_time_adapter.py\", \"loaded_evaluation_modules\": {\"calibrex.data.adaptive_voxel\": \"<WORKSPACE>/src/calibrex/data/adaptive_voxel.py\", \"calibrex.data.livox\": \"<WORKSPACE>/src/calibrex/data/livox.py\", \"calibrex.data.numba_lidar_deskew_adapter\": null, \"calibrex.data.odometry_track\": \"<WORKSPACE>/src/calibrex/data/odometry_track.py\", \"calibrex.evaluation.lidar\": \"<WORKSPACE>/src/calibrex/evaluation/lidar.py\", \"calibrex.evaluation.packed_lidar_observations\": \"<WORKSPACE>/src/calibrex/evaluation/packed_lidar_observations.py\", \"calibrex.graph.lidar_point_to_plane\": \"<WORKSPACE>/src/calibrex/graph/lidar_point_to_plane.py\", \"calibrex.pipelines.online\": \"<WORKSPACE>/src/calibrex/pipelines/online.py\", \"calibrex.solvers.continuous_time_lidar_pair_solver\": \"<WORKSPACE>/src/calibrex/solvers/continuous_time_lidar_pair_solver.py\", \"calibrex.solvers.cuda_continuous_time_adapter\": \"<WORKSPACE>/src/calibrex/solvers/cuda_continuous_time_adapter.py\", \"calibrex.solvers.cuda_plane_query_adapter\": \"<WORKSPACE>/src/calibrex/solvers/cuda_plane_query_adapter.py\", \"calibrex.solvers.fixed_trajectory_se3_solver\": \"<WORKSPACE>/src/calibrex/solvers/fixed_trajectory_se3_solver.py\", \"calibrex.solvers.numba_continuous_time_adapter\": \"<WORKSPACE>/src/calibrex/solvers/numba_continuous_time_adapter.py\", \"calibrex.solvers.robust_lidar_observations\": \"<WORKSPACE>/src/calibrex/solvers/robust_lidar_observations.py\"}, \"loaded_module\": \"<WORKSPACE>/src/calibrex/data/adaptive_voxel.py\", \"numba_cache_after\": {\"numba_continuous_time_adapter._normal_rows-230.py312.1.nbc\": \"065eedf31db9b6ab0c5cee98186e239c2f16c756829e95819f058430af7af700\", \"numba_continuous_time_adapter._normal_rows-230.py312.nbi\": \"bd2ab6ef30b6fc2a81e3ca255c381d4bc808fa47d873296839ee25517c804bc2\", \"numba_continuous_time_adapter._pose_world_rows-75.py312.1.nbc\": \"002bb9d69c19c8187895b9d6a694f2c7583ef1799d144cbc7913e318f6146b17\", \"numba_continuous_time_adapter._pose_world_rows-75.py312.nbi\": \"6a91842c1ce20b96e529a1ba1e2a5bd05b488437e8d423bbe96af4946d127cf9\", \"numba_continuous_time_adapter._residual_rows-155.py312.1.nbc\": \"80445ee2f569a0b72b4da9b59ea0305a74b4c59f3280180b7c5d0c84ae44f10f\", \"numba_continuous_time_adapter._residual_rows-155.py312.nbi\": \"38bfb797b952fd8611ea5a22cf491ba164ef0519644167067096bfee2e9f3a03\", \"numba_continuous_time_adapter._world_rows-181.py312.1.nbc\": \"b5de0d1b3bc766ca8febc43cdcc8eb757abd5d51e97883da1fae17b358cd0b92\", \"numba_continuous_time_adapter._world_rows-181.py312.nbi\": \"fbe649604c6d5740fa72a34ce5df21f8646c107510a077ebb134f821e8654995\"}, \"numba_cache_before\": {\"numba_continuous_time_adapter._normal_rows-230.py312.1.nbc\": \"065eedf31db9b6ab0c5cee98186e239c2f16c756829e95819f058430af7af700\", \"numba_continuous_time_adapter._normal_rows-230.py312.nbi\": \"bd2ab6ef30b6fc2a81e3ca255c381d4bc808fa47d873296839ee25517c804bc2\", \"numba_continuous_time_adapter._pose_world_rows-75.py312.1.nbc\": \"002bb9d69c19c8187895b9d6a694f2c7583ef1799d144cbc7913e318f6146b17\", \"numba_continuous_time_adapter._pose_world_rows-75.py312.nbi\": \"6a91842c1ce20b96e529a1ba1e2a5bd05b488437e8d423bbe96af4946d127cf9\", \"numba_continuous_time_adapter._residual_rows-155.py312.1.nbc\": \"80445ee2f569a0b72b4da9b59ea0305a74b4c59f3280180b7c5d0c84ae44f10f\", \"numba_continuous_time_adapter._residual_rows-155.py312.nbi\": \"38bfb797b952fd8611ea5a22cf491ba164ef0519644167067096bfee2e9f3a03\", \"numba_continuous_time_adapter._world_rows-181.py312.1.nbc\": \"b5de0d1b3bc766ca8febc43cdcc8eb757abd5d51e97883da1fae17b358cd0b92\", \"numba_continuous_time_adapter._world_rows-181.py312.nbi\": \"fbe649604c6d5740fa72a34ce5df21f8646c107510a077ebb134f821e8654995\"}, \"numba_cache_policy\": \"persistent\", \"order\": [\"baseline\", \"sparse\"], \"repeat\": 3, \"result_sha256\": \"f9461e3e6a0d256d2f9869d886a9cbf10f7ca66a1604070f12d0d94b39674d1b\", \"sampled_split\": {\"holdout_count\": 9600, \"holdout_ids_sha256\": \"3e5f3f6ad7ac01170ac3a56001ace2dfaa596f5e9b655c9119d5f00364a64cfe\", \"train_count\": 38400, \"train_ids_sha256\": \"912447b46ab6efb37ad4879711e2e3cb23910e1f121453ae50e4daecc7af9925\"}}",
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        ]
      }
    }
  ],
  "method_summaries": {
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