{
  "schema_version": 1,
  "id": "r3-deployment-control",
  "campaign_id": "h3-m5pro-round-03",
  "contract_sha256": "cbd4ce596524b59629216716299ee8677b10f49140de962384153aaaa2e55dec",
  "complete": true,
  "change_class": "control",
  "hypothesis": "Native reduction matching QK/RoPE fusion and shape-qualified Metal 4 FC2 tiling reduce full generation latency without changing a denoising tensor or pixel.",
  "context": {
    "hardware": "Apple M5 Pro, 16 GPU cores, 64 GiB unified memory",
    "os": "macOS 27.0.1 arm64",
    "software": "MLX/MLX Metal 0.32.4; Python 3.12.14; strict precision environment",
    "environment": "AC Automatic power; MLX_ENABLE_TF32=0, MLX_CONV_WINOGRAD=0; user background apps unchanged; no thermal warning recorded",
    "timing_boundary": "Pipeline.generate total_s: warm text cache, original CPU RNG, six heads, decode, trace and PNG save. Excludes interpreter startup and external quality scoring.",
    "memory_metric": "Parent macOS physical footprint sampled at 100ms, current-interval maximum; includes Metal, excludes compiler XPC. MLX allocator separately; do not sum. Both compiled variants may be resident.",
    "cache_state": "Resident shared native weights and VAE; shape warmup for each variant. Exact conditioning caches warmed outside timed population.",
    "execution_policy": "Single GPU benchmark process; per-case repeats alternate control/candidate then candidate/control then control/candidate. Warmup and first-load excluded from timed population."
  },
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    "id": "control",
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    "command": [
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      "/Users/devin/Desktop/minimax-h3-image-opt/models/MiniMax-H3-Image",
      "--text-encoder",
      "/Users/devin/Desktop/minimax-h3-image-opt/models/MiniMax-H3/text_encoder",
      "--output",
      "outputs/optimization-r3-deployment"
    ]
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      "portrait": "4226310bd1d79a0d0d4c0b572e2e7729541f5f171260cfeefd5e73b0a4196a47",
      "edit": "b4b5875fea6451b9c7c24efc7903945a454ae7885ed3016bfc361b4799b2508e",
      "holdout-detail": "561b18aa708d61a5accbfd12f2280e8f7e303505324c43471ba06d60fe0351d5"
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  "evidence": [
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      "path": "outputs/optimization-r3-deployment/runs.jsonl",
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    {
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      "sha256": "5625a5a38d92a68faf5d27aa72cd66cd0bc50d1794f143075f25db4351df56f9"
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    {
      "path": "reports/optimization-r3/deployment/quality-audit.json",
      "sha256": "9ca5a230623a6e864905c3eb4415744e5ba316581124124491d1b402de6b2fc7"
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    {
      "path": "reports/optimization-r3/deployment/summary.json",
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  "extensions": {
    "canonical_output": "SHA256 decoded RGB uint8 bytes in row-major order",
    "model_identity": "model_sha256 is the pinned model/source provenance manifest hash; no new full checkpoint rehash",
    "reference_scope": "Incremental identity to MLX BF16 recipe, not CUDA or unpublished FP32 training weights",
    "trace_identical": true
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}