{
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  "platform": "macOS-26.6.2-arm64-arm-64bit",
  "torch": "2.10.0",
  "albumentations": "2.0.8",
  "numpy": "2.2.6",
  "threads": 1,
  "warmups": 5,
  "timed_calls": 30,
  "repeats": 3,
  "canvas": [224, 224],
  "endpoint": "CPU float32 BCHW image and dense pixel-edge bbox tensor; no decode, host/device transfer or model",
  "measurements": [
    {
      "batch": 1,
      "run": 0,
      "prepare": {
        "median_ms": 0.050833,
        "p95_ms": 0.0851708
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      "image_boxes_pipeline": {
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      "image_boxes_pipeline": {
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      "image_boxes_pipeline": {
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    {
      "batch": 32,
      "run": 0,
      "prepare": {
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        "p95_ms": 2.12107485
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      "image_boxes_pipeline": {
        "median_ms": 16.4039375,
        "p95_ms": 16.84604565
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    },
    {
      "batch": 32,
      "run": 1,
      "prepare": {
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        "p95_ms": 2.0886416
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      "image_boxes_pipeline": {
        "median_ms": 16.372521,
        "p95_ms": 16.9270224
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    },
    {
      "batch": 32,
      "run": 2,
      "prepare": {
        "median_ms": 1.889771,
        "p95_ms": 2.07543995
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      "image_boxes_pipeline": {
        "median_ms": 16.3808335,
        "p95_ms": 16.6856288
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  ],
  "preparation_profile": "         210502 function calls in 0.054 seconds\n\n   Ordered by: cumulative time\n   List reduced from 51 to 20 due to restriction <20>\n\n   ncalls  tottime  percall  cumtime  percall filename:lineno(function)\n        1    0.000    0.000    0.054    0.054 .reports/codex/develop/2026-09-06-cv-waves/measure_wave3.py:60(<lambda>)\n        1    0.000    0.000    0.054    0.054 .reports/codex/develop/2026-09-06-cv-waves/measure_wave3.py:60(<listcomp>)\n       20    0.004    0.000    0.054    0.003 src/fuse_augmentations/affine/segment.py:2780(_compose_matrices)\n     1291    0.001    0.000    0.040    0.000 src/fuse_augmentations/adapters/albumentations.py:356(sample_params)\n      980    0.002    0.000    0.029    0.000 src/fuse_augmentations/adapters/albumentations.py:1254(_sample_matrices)\n     1960    0.014    0.000    0.021    0.000 .venv/lib/python3.10/site-packages/albumentations/augmentations/geometric/functional.py:2625(create_affine_transformation_matrix)\n      536    0.001    0.000    0.015    0.000 .venv/lib/python3.10/site-packages/albumentations/augmentations/geometric/transforms.py:989(get_params_dependent_on_data)\n    15944    0.003    0.000    0.013    0.000 src/fuse_augmentations/adapters/albumentations.py:220(_is_albu_instance)\n      444    0.001    0.000    0.010    0.000 .venv/lib/python3.10/site-packages/albumentations/augmentations/geometric/rotate.py:592(get_params_dependent_on_data)\n    15944    0.002    0.000    0.010    0.000 {built-in method builtins.any}\n    42224    0.003    0.000    0.008    0.000 src/fuse_augmentations/adapters/albumentations.py:222(<genexpr>)\n    12071    0.007    0.000    0.007    0.000 {built-in method numpy.array}\n     1291    0.001    0.000    0.007    0.000 src/fuse_augmentations/adapters/albumentations.py:463(build_matrix)\n    28424    0.002    0.000    0.006    0.000 {built-in method builtins.isinstance}\n    24678    0.002    0.000    0.003    0.000 <python-install>/cpython-3.10.19-macos-aarch64-none/lib/python3.10/abc.py:117(__instancecheck__)\n     1602    0.002    0.000    0.002    0.000 {built-in method torch.tensor}\n    24678    0.002    0.000    0.002    0.000 {built-in method _abc._abc_instancecheck}\n      536    0.000    0.000    0.002    0.000 .venv/lib/python3.10/site-packages/albumentations/augmentations/geometric/transforms.py:1054(_get_translate_params)\n     1072    0.000    0.000    0.001    0.000 <python-install>/cpython-3.10.19-macos-aarch64-none/lib/python3.10/random.py:366(randint)\n     1072    0.001    0.000    0.001    0.000 <python-install>/cpython-3.10.19-macos-aarch64-none/lib/python3.10/random.py:292(randrange)\n\n\n",
  "recorded_date": "2026-09-06",
  "scope": "CPU-only, fixed synthetic workload; no accelerator, transfer or model-quality result",
  "benchmark_script": "experiments/bench_albu_preparation.py (same timing cases as original measurement artifact)",
  "python": "3.10.19",
  "fuse_augmentations": "0.12.0.dev0",
  "seed_policy": {
    "pipeline_streams": 17,
    "input_generator": 23
  },
  "profile_batch": 32,
  "metadata_note": "Python/package versions and explicit seed/profile labels added from the recorded environment and unchanged probe after measurement."
}