{
  "metadata": {
    "date": "2026-11-04",
    "binaries": {
      "base": [
        "mnist-mm-direct-comparison/reference/LibTorchMNISTBenchmark",
        "e65dad0b748d33834afb1126047f91bec18b4bc4ee27f748da9669e45f011fea"
      ],
      "mm": [
        "tensor-direct-accumulation/reference/LibTorchMNISTBenchmark",
        "657cf38569faf757a9baeabcf0373aff6a9e106157fcc33adac9319451734524"
      ],
      "reuse": [
        "mnist-matched/benchmark/LibTorch/LibTorchMNISTBenchmark",
        "b5085d1b0f741717b562fc5790baab476fb9e952efe8f813da824348fe9238ba"
      ],
      "receiver": [
        "mnist-receiver-fix-20261104-000049/benchmark/benchmark/LibTorch/LibTorchMNISTBenchmark",
        "94a4112c58ac44a709f35a98df8a069cfd2e3c1b1f3a8fa55601d4ae136c7f3f"
      ]
    },
    "cases": {
      "s0": [
        "base",
        "clad",
        "Direct Clad baseline"
      ],
      "s1": [
        "base",
        "clad-inactive",
        "+ no_adjoint"
      ],
      "s2": [
        "mm",
        "clad-inactive",
        "+ addmm_"
      ],
      "s3": [
        "reuse",
        "clad-inactive",
        "+ buffer optimizations"
      ],
      "s4": [
        "receiver",
        "clad-inactive",
        "+ unused-adjoint fix"
      ],
      "native": [
        "receiver",
        "torch",
        "LibTorch reference"
      ]
    },
    "timing_order": [
      [
        "s0",
        "s1",
        "s2",
        "s3",
        "s4",
        "native"
      ],
      [
        "s1",
        "s2",
        "s3",
        "s4",
        "native",
        "s0"
      ],
      [
        "s2",
        "s3",
        "s4",
        "native",
        "s0",
        "s1"
      ],
      [
        "s3",
        "s4",
        "native",
        "s0",
        "s1",
        "s2"
      ],
      [
        "s4",
        "native",
        "s0",
        "s1",
        "s2",
        "s3"
      ],
      [
        "native",
        "s0",
        "s1",
        "s2",
        "s3",
        "s4"
      ]
    ],
    "repeats": 6,
    "cpu": 0,
    "threads": 1,
    "optimization": "-O3",
    "compiler": "Clang 21.1.3",
    "torch": "LibTorch 2.11 CPU",
    "dtype": "FP32",
    "batch": 128,
    "epochs": 10,
    "seed": 7,
    "learning_rate": 0.05,
    "timing_scope": "Batch copies + forward + backward + SGD; exclude data loading, shuffle preparation, evaluation and serialization",
    "memory_scope": "New CPU Tensor storage during training; exclude pre-existing dataset/model and C++ graph metadata",
    "baseline": "Forward already inside the root loss; native ReLU backward and real-zero zero_like in all stages.",
    "s3_scope": "Combined elementwise accumulating kernels, owned ReLU seed reuse, and copy propagation without redundant temporary; not a copy-only ablation.",
    "s4_scope": "Same backend as s3, with the temporary-receiver unused-adjoint compiler fix.",
    "forward_scope": "No isolated pre-inline binary in this experiment; baseline starts after that workload change.",
    "parameter_comparisons": {
      "s1": "FINAL_PARAMETER_MAX_ABS=0",
      "s2": "FINAL_PARAMETER_MAX_ABS=0",
      "s3": "FINAL_PARAMETER_MAX_ABS=0",
      "s4": "FINAL_PARAMETER_MAX_ABS=0",
      "native": "FINAL_PARAMETER_MAX_ABS=0"
    }
  },
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