{
  "metadata": {
    "config": {
      "depth": 2,
      "alpha": 0.5,
      "seed": 11,
      "epochs": 2,
      "learning_rate": 0.1,
      "batch_size": 128,
      "momentum": 0.9,
      "weight_decay": 0.0
    },
    "parameter_count": 7554,
    "train_count": 10000,
    "test_count": 10000,
    "fresh_initialization_per_run": true,
    "checkpoint_loaded": false,
    "normalization": "4*x-0.5 then append one zero coordinate",
    "initialization": "branch normal(0,0.05/sqrt(41)); standard torch Linear head; seed-only",
    "optimizer": "SGD momentum; zero initial velocity; gradient mean cross entropy",
    "shuffle": "independent PCG64 permutation each epoch, seed-only",
    "augmentation": "none",
    "input_hashes": {
      "train_images": "aa68fb7d65b7dcd9c91fd62e48b42ed6a60f7e1fad7c53b1b0ec2c73a5a7c5d1",
      "train_labels": "72abc25a7a08e37d3ae171b30b3e5617ce288cafab5f4df112b352b93f2133fb",
      "test_images": "78aa1bca675869c1e08ba944b99d45dce473bee70d893240be8d733acc6d0144"
    },
    "epoch_permutation_sha256": [
      "06a0c75a115780a2112f0ba86be13d19162762e59c36bb0c27ae35dc688c01ef",
      "fc7dcea80db84b1177efbc923b2d1ecf4eb4184bd2d4afd32c9af9c6160502b0"
    ],
    "initial_parameter_sha256": {
      "weights.0": "194490b683f6426b65457a6725f0646768f8d46a361d9b125cfc768ab614f8fb",
      "weights.1": "bcbcbf732d68415f6c7c393c31343810467d8a86951e70237f6c36712785dd02",
      "weights.2": "60acda6b3f2f888c9f70f9c2d0ebb53e66d3deb3e1ba760160b87d76f0a92b98",
      "weights.3": "16f24aea0689177ce23b7d09de49339a0fa0a0ba75753a10a85ed850a7083cc8",
      "head.weight": "39bc6f6f4720618f6da778924cc306b6f5a0865d4042c58771d4c93cb573b512",
      "head.bias": "5ce9e9fee433d39fa1edf54bebdd7bf9e6686a86a38b65c7862577d8faf1379d"
    },
    "final_parameter_sha256": {
      "weights.0": "50d5bc3dcbe7dfd34cd1590048629b4d5ac4d4e7e3a0dac5dd5c3bd480e4dd2f",
      "weights.1": "fca2f7dc38383ba59ac71e98de5e71bd1fba71675ee0672f634a66bb8d153885",
      "weights.2": "e24b86ba7f45e01ebfc234ad3c15a876aa269ee0f286be37b2fc9bf0b386af75",
      "weights.3": "b170a498622c1698238ba8440f1cc25ae44d045a51bf0fbd39de495cfe73f99f",
      "head.weight": "706e7bcfd6b48a76582fd28f9679eadaf323fbb3c461557384f581dc2b1be842",
      "head.bias": "d98a0d189c7772e8352c850faa5f721eccff42bbc24dcce4c0776a2e83524312"
    },
    "final_velocity_sha256": {
      "weights.0": "450834df50ef4dfe42dcfcebe089aacea6efb8743f812892a20503ad20df3c84",
      "weights.1": "107a687d6251073024abbe9834c1e85b06eb5bb77480b1025f500d2e08e2c777",
      "weights.2": "b23132c42a1869bb803108a61ce23ea65fe8bcf98f4c6696fbdd72830237b6a4",
      "weights.3": "f38971086fd2090afea2f1e23deb312bc1af3cb41c7a0538c5b089882719e0c5",
      "head.weight": "715c14d2794695066fab32ab119b8e87599325fb7aba0a996f10b8b2c0a74c83",
      "head.bias": "fb1586654860b60c70e83fb404a3fecd2a495f4f841df3d7ccd9811e76aed328"
    },
    "state_vector_sha256": "fb2a11ad2a30522e01e9228619406c13c8f8d57ebcb75d10556f689fe4430ef9",
    "predictions_sha256": "37724115cb2d3242eb4a4f76d3a879ac92d729939320e5f6f2bd046bd631f200",
    "scores_sha256": "be5b7c1c7c0321aa6d157309cf6953c741bc4abfb768dfeea24d984f98ebf5e9",
    "preparation_seconds": 2.2354910179999994,
    "run_count": 1,
    "validation": {
      "passed": true,
      "device": "cpu",
      "checks": [
        {
          "dtype": "torch.float64",
          "depth": 1,
          "passed": true,
          "forward_bitwise_equal": true,
          "maximum_gradient_abs_error": 1.3877787807814457e-17,
          "inverse_max_abs_error": 2.220446049250313e-16,
          "saved_activation_storages": 1,
          "saved_activation_bytes": 1968,
          "saved_parameter_references": 2
        },
        {
          "dtype": "torch.float64",
          "depth": 2,
          "passed": true,
          "forward_bitwise_equal": true,
          "maximum_gradient_abs_error": 1.3877787807814457e-17,
          "inverse_max_abs_error": 4.440892098500626e-16,
          "saved_activation_storages": 1,
          "saved_activation_bytes": 1968,
          "saved_parameter_references": 4
        },
        {
          "dtype": "torch.float32",
          "depth": 1,
          "passed": true,
          "forward_bitwise_equal": true,
          "maximum_gradient_abs_error": 0.0,
          "inverse_max_abs_error": 2.9802322387695312e-08,
          "saved_activation_storages": 1,
          "saved_activation_bytes": 984,
          "saved_parameter_references": 2
        },
        {
          "dtype": "torch.float32",
          "depth": 2,
          "passed": true,
          "forward_bitwise_equal": true,
          "maximum_gradient_abs_error": 1.4901161193847656e-08,
          "inverse_max_abs_error": 2.384185791015625e-07,
          "saved_activation_storages": 1,
          "saved_activation_bytes": 984,
          "saved_parameter_references": 4
        }
      ],
      "scope": "Identical weights; ordinary autograd versus custom reconstruction for inputs and every parameter. First-order differentiation only."
    },
    "reversible_core": true,
    "retained_core_states": 1,
    "core_saved_bytes_per_example": 328,
    "head_reversible": false,
    "input_lift_injective": true,
    "timing_scope": "run resets weights/gradients/momentum, normalizes raw train and query pixels, copies resident epoch permutations, trains and predicts. Excludes setup, CPU permutation generation, allocation, transfer, capture and diagnostics."
  },
  "config": {
    "alpha": 0.5,
    "batch_size": 128,
    "momentum": 0.9,
    "weight_decay": 0.0,
    "seed": 11,
    "depth": 2,
    "epochs": 2,
    "learning_rate": 0.1
  },
  "input_sha256": {
    "train_images": "aa68fb7d65b7dcd9c91fd62e48b42ed6a60f7e1fad7c53b1b0ec2c73a5a7c5d1",
    "train_labels": "72abc25a7a08e37d3ae171b30b3e5617ce288cafab5f4df112b352b93f2133fb",
    "test_images": "78aa1bca675869c1e08ba944b99d45dce473bee70d893240be8d733acc6d0144"
  },
  "cuda_ms": 50.89894485473633,
  "learner_sha256": "c395a8b7bc2951e3fdab5c5f5edf5ad2d5357de4e9170e52b988f4312e7169c5",
  "completed_at_utc": "2026-09-14T23:40:42.785484+00:00",
  "memory": {
    "allocated_before_prepare_bytes": 0,
    "prepare_and_invoke_peak_allocated_bytes": 82509824,
    "allocated_after_invoke_bytes": 81084416,
    "reserved_after_invoke_bytes": 96468992,
    "scope": "Tensorallocator including graphpools/libraryworkspace; before diagnostic CUDAvalidation/serialization. Excludesdriver/context."
  },
  "cuda_validation": {
    "passed": true,
    "device": "NVIDIA A100-SXM4-40GB",
    "checks": 212,
    "maximum_abs_error": 1.1920928955078125e-06,
    "tolerance": {
      "atol": 2e-05,
      "rtol": 0.003
    },
    "cases": [
      {
        "depth": 1,
        "config": {
          "depth": 1,
          "alpha": 0.5,
          "seed": 781,
          "epochs": 2,
          "learning_rate": 0.1,
          "batch_size": 8,
          "momentum": 0.9,
          "weight_decay": 0.0
        },
        "passed": true,
        "epochs": 2,
        "batch_sizes": [
          8,
          8,
          3
        ],
        "complete_replay_byte_repeatable": true,
        "predictions_match_independent_eager": true,
        "saved_core_activation_storages": 1,
        "saved_core_activation_bytes": 984,
        "saved_parameter_references": 2
      },
      {
        "depth": 2,
        "config": {
          "depth": 2,
          "alpha": 0.5,
          "seed": 781,
          "epochs": 2,
          "learning_rate": 0.1,
          "batch_size": 8,
          "momentum": 0.9,
          "weight_decay": 0.0
        },
        "passed": true,
        "epochs": 2,
        "batch_sizes": [
          8,
          8,
          3
        ],
        "complete_replay_byte_repeatable": true,
        "predictions_match_independent_eager": true,
        "saved_core_activation_storages": 1,
        "saved_core_activation_bytes": 984,
        "saved_parameter_references": 4
      }
    ],
    "scope": "Both depths; every gradient, parameter update and momentum state versus independent ordinary eager autograd/SGD, complete captured scores and exact replay-reset checks. Test uses only generated synthetic data."
  },
  "energy": {
    "calibration_ms": 48.26192092895508,
    "repeats_per_trial": 104,
    "trials": [
      {
        "trial": 0,
        "invocations": 104,
        "idle_before": {
          "start": {
            "energy_mj": 18341121604,
            "time_s": 12.730332611,
            "query_latency_s": 0.004015794000000739
          },
          "end": {
            "energy_mj": 18341314898,
            "time_s": 15.739967298,
            "query_latency_s": 0.013962769999999125
          },
          "duration_s": 3.009634687,
          "energy_j": 193.294,
          "average_power_w": 64.22507051600844,
          "settle_seconds": 3
        },
        "idle_after": {
          "start": {
            "energy_mj": 18341902483,
            "time_s": 22.702862146999998,
            "query_latency_s": 0.002985691999999318
          },
          "end": {
            "energy_mj": 18342096148,
            "time_s": 25.706290078000002,
            "query_latency_s": 0.002955762000002693
          },
          "duration_s": 3.0034279310000045,
          "energy_j": 193.665,
          "average_power_w": 64.48132082713848,
          "settle_seconds": 3
        },
        "active": {
          "start": {
            "energy_mj": 18341314898,
            "time_s": 15.759697132500001,
            "query_latency_s": 0.002671985000000987
          },
          "end": {
            "energy_mj": 18341675558,
            "time_s": 19.697983711,
            "query_latency_s": 0.0036869959999989987
          },
          "duration_s": 3.938286578499998,
          "energy_j": 360.66,
          "average_power_w": 91.5778963290597
        },
        "telemetry_before": {
          "temperature_c": 33,
          "power_w": 64.167,
          "graphics_clock_mhz": 1095,
          "memory_clock_mhz": 1215
        },
        "telemetry_after": {
          "temperature_c": 34,
          "power_w": 93.675,
          "graphics_clock_mhz": 1410,
          "memory_clock_mhz": 1215
        },
        "paired_idle_w": 64.35319567157346,
        "idle_adjusted_mj_per_task": 1030.9487807986357,
        "unadjusted_mj_per_task": 3467.8846153846152,
        "cuda_ms_per_task": 37.83597271259014,
        "wall_ms_per_task": 37.86814017788459
      },
      {
        "trial": 1,
        "invocations": 104,
        "idle_before": {
          "start": {
            "energy_mj": 18342289721,
            "time_s": 28.7104081545,
            "query_latency_s": 0.0028492589999977724
          },
          "end": {
            "energy_mj": 18342476770,
            "time_s": 31.714316778,
            "query_latency_s": 0.003023982000001979
          },
          "duration_s": 3.003908623499999,
          "energy_j": 187.049,
          "average_power_w": 62.26853857560426,
          "settle_seconds": 3
        },
        "idle_after": {
          "start": {
            "energy_mj": 18343067697,
            "time_s": 38.688709857999996,
            "query_latency_s": 0.0029527019999946447
          },
          "end": {
            "energy_mj": 18343261353,
            "time_s": 41.692162718999995,
            "query_latency_s": 0.0028790400000033856
          },
          "duration_s": 3.0034528609999995,
          "energy_j": 193.656,
          "average_power_w": 64.47778905227175,
          "settle_seconds": 3
        },
        "active": {
          "start": {
            "energy_mj": 18342476770,
            "time_s": 31.717462073500002,
            "query_latency_s": 0.0027155770000000246
          },
          "end": {
            "energy_mj": 18342842196,
            "time_s": 35.6839069155,
            "query_latency_s": 0.003421921000004602
          },
          "duration_s": 3.9664448420000014,
          "energy_j": 365.426,
          "average_power_w": 92.12935375542526
        },
        "telemetry_before": {
          "temperature_c": 33,
          "power_w": 64.167,
          "graphics_clock_mhz": 1095,
          "memory_clock_mhz": 1215
        },
        "telemetry_after": {
          "temperature_c": 34,
          "power_w": 93.072,
          "graphics_clock_mhz": 1410,
          "memory_clock_mhz": 1215
        },
        "paired_idle_w": 63.37316381393801,
        "idle_adjusted_mj_per_task": 1096.7292429710044,
        "unadjusted_mj_per_task": 3513.7115384615386,
        "cuda_ms_per_task": 38.10764723557692,
        "wall_ms_per_task": 38.138892711538475
      },
      {
        "trial": 2,
        "invocations": 104,
        "idle_before": {
          "start": {
            "energy_mj": 18343454907,
            "time_s": 44.696445357,
            "query_latency_s": 0.002953101999999319
          },
          "end": {
            "energy_mj": 18343641890,
            "time_s": 47.700416866,
            "query_latency_s": 0.0028959400000019286
          },
          "duration_s": 3.003971508999996,
          "energy_j": 186.983,
          "average_power_w": 62.24526412444089,
          "settle_seconds": 3
        },
        "idle_after": {
          "start": {
            "energy_mj": 18344236957,
            "time_s": 54.651024415,
            "query_latency_s": 0.002866310000001704
          },
          "end": {
            "energy_mj": 18344424277,
            "time_s": 57.6555179155,
            "query_latency_s": 0.00473177899999655
          },
          "duration_s": 3.004493500499997,
          "energy_j": 187.32,
          "average_power_w": 62.34661515121496,
          "settle_seconds": 3
        },
        "active": {
          "start": {
            "energy_mj": 18343641890,
            "time_s": 47.70374805,
            "query_latency_s": 0.002901370000003567
          },
          "end": {
            "energy_mj": 18344009835,
            "time_s": 51.646802313500004,
            "query_latency_s": 0.0031145849999987263
          },
          "duration_s": 3.9430542635000023,
          "energy_j": 367.945,
          "average_power_w": 93.3147188477691
        },
        "telemetry_before": {
          "temperature_c": 33,
          "power_w": 64.1,
          "graphics_clock_mhz": 1095,
          "memory_clock_mhz": 1215
        },
        "telemetry_after": {
          "temperature_c": 35,
          "power_w": 93.157,
          "graphics_clock_mhz": 1410,
          "memory_clock_mhz": 1215
        },
        "paired_idle_w": 62.29593963782793,
        "idle_adjusted_mj_per_task": 1176.045477041575,
        "unadjusted_mj_per_task": 3537.9326923076924,
        "cuda_ms_per_task": 37.883096548227165,
        "wall_ms_per_task": 37.91398330288464
      }
    ],
    "summary": {
      "idle_adjusted_mj_per_task": {
        "mean": 1101.2411669370717,
        "sample_sd": 72.65349894231267,
        "values": [
          1030.9487807986357,
          1096.7292429710044,
          1176.045477041575
        ]
      },
      "unadjusted_mj_per_task": {
        "mean": 3506.5096153846152,
        "sample_sd": 35.575048027511805,
        "values": [
          3467.8846153846152,
          3513.7115384615386,
          3537.9326923076924
        ]
      },
      "cuda_ms_per_task": {
        "mean": 37.94223883213141,
        "sample_sd": 0.1451727209880734,
        "values": [
          37.83597271259014,
          38.10764723557692,
          37.883096548227165
        ]
      },
      "wall_ms_per_task": {
        "mean": 37.973672064102566,
        "sample_sd": 0.1449096090043639,
        "values": [
          37.86814017788459,
          38.138892711538475,
          37.91398330288464
        ]
      }
    },
    "hardware": {
      "gpu": "NVIDIA A100-SXM4-40GB",
      "uuid": "GPU-1552a575-ab47-76b8-3221-83dd4cb89278",
      "total_memory_bytes": 42405855232,
      "power_limit_w": 400.0,
      "driver": "580.95.05",
      "cuda_pci_bus_id": "0000:50:00.0",
      "nvml_pci_bus_id": "00000000:50:00.0",
      "nvml_handle_selected_by_cuda_pci_bus_id": true
    },
    "software": {
      "python": "3.11.15",
      "torch": "2.5.1+cu124",
      "numpy": "2.2.6",
      "cuda": "12.4",
      "nvidia_ml_py": "12.560.30"
    },
    "repeat_predictions_equal": true,
    "repeat_state_hashes_equal": true,
    "state_hash_keys_checked": [
      "input_hashes",
      "epoch_permutation_sha256",
      "initial_parameter_sha256",
      "final_parameter_sha256",
      "final_velocity_sha256",
      "state_vector_sha256",
      "predictions_sha256",
      "scores_sha256"
    ],
    "scope": "Every task resets weights and momentum, normalizes raw9x9 inputs, trains from scratch, predicts allqueries; allinvocations included. GPUresident measurement excludes transfers, allocation, JIT/graphcapture, hostpreprocessing and verification.",
    "before_metadata": {
      "config": {
        "depth": 2,
        "alpha": 0.5,
        "seed": 11,
        "epochs": 2,
        "learning_rate": 0.1,
        "batch_size": 128,
        "momentum": 0.9,
        "weight_decay": 0.0
      },
      "parameter_count": 7554,
      "train_count": 10000,
      "test_count": 10000,
      "fresh_initialization_per_run": true,
      "checkpoint_loaded": false,
      "normalization": "4*x-0.5 then append one zero coordinate",
      "initialization": "branch normal(0,0.05/sqrt(41)); standard torch Linear head; seed-only",
      "optimizer": "SGD momentum; zero initial velocity; gradient mean cross entropy",
      "shuffle": "independent PCG64 permutation each epoch, seed-only",
      "augmentation": "none",
      "input_hashes": {
        "train_images": "aa68fb7d65b7dcd9c91fd62e48b42ed6a60f7e1fad7c53b1b0ec2c73a5a7c5d1",
        "train_labels": "72abc25a7a08e37d3ae171b30b3e5617ce288cafab5f4df112b352b93f2133fb",
        "test_images": "78aa1bca675869c1e08ba944b99d45dce473bee70d893240be8d733acc6d0144"
      },
      "epoch_permutation_sha256": [
        "06a0c75a115780a2112f0ba86be13d19162762e59c36bb0c27ae35dc688c01ef",
        "fc7dcea80db84b1177efbc923b2d1ecf4eb4184bd2d4afd32c9af9c6160502b0"
      ],
      "initial_parameter_sha256": {
        "weights.0": "194490b683f6426b65457a6725f0646768f8d46a361d9b125cfc768ab614f8fb",
        "weights.1": "bcbcbf732d68415f6c7c393c31343810467d8a86951e70237f6c36712785dd02",
        "weights.2": "60acda6b3f2f888c9f70f9c2d0ebb53e66d3deb3e1ba760160b87d76f0a92b98",
        "weights.3": "16f24aea0689177ce23b7d09de49339a0fa0a0ba75753a10a85ed850a7083cc8",
        "head.weight": "39bc6f6f4720618f6da778924cc306b6f5a0865d4042c58771d4c93cb573b512",
        "head.bias": "5ce9e9fee433d39fa1edf54bebdd7bf9e6686a86a38b65c7862577d8faf1379d"
      },
      "final_parameter_sha256": {
        "weights.0": "50d5bc3dcbe7dfd34cd1590048629b4d5ac4d4e7e3a0dac5dd5c3bd480e4dd2f",
        "weights.1": "fca2f7dc38383ba59ac71e98de5e71bd1fba71675ee0672f634a66bb8d153885",
        "weights.2": "e24b86ba7f45e01ebfc234ad3c15a876aa269ee0f286be37b2fc9bf0b386af75",
        "weights.3": "b170a498622c1698238ba8440f1cc25ae44d045a51bf0fbd39de495cfe73f99f",
        "head.weight": "706e7bcfd6b48a76582fd28f9679eadaf323fbb3c461557384f581dc2b1be842",
        "head.bias": "d98a0d189c7772e8352c850faa5f721eccff42bbc24dcce4c0776a2e83524312"
      },
      "final_velocity_sha256": {
        "weights.0": "450834df50ef4dfe42dcfcebe089aacea6efb8743f812892a20503ad20df3c84",
        "weights.1": "107a687d6251073024abbe9834c1e85b06eb5bb77480b1025f500d2e08e2c777",
        "weights.2": "b23132c42a1869bb803108a61ce23ea65fe8bcf98f4c6696fbdd72830237b6a4",
        "weights.3": "f38971086fd2090afea2f1e23deb312bc1af3cb41c7a0538c5b089882719e0c5",
        "head.weight": "715c14d2794695066fab32ab119b8e87599325fb7aba0a996f10b8b2c0a74c83",
        "head.bias": "fb1586654860b60c70e83fb404a3fecd2a495f4f841df3d7ccd9811e76aed328"
      },
      "state_vector_sha256": "fb2a11ad2a30522e01e9228619406c13c8f8d57ebcb75d10556f689fe4430ef9",
      "predictions_sha256": "37724115cb2d3242eb4a4f76d3a879ac92d729939320e5f6f2bd046bd631f200",
      "scores_sha256": "be5b7c1c7c0321aa6d157309cf6953c741bc4abfb768dfeea24d984f98ebf5e9",
      "preparation_seconds": 2.2354910179999994,
      "run_count": 2,
      "validation": {
        "passed": true,
        "device": "cpu",
        "checks": [
          {
            "dtype": "torch.float64",
            "depth": 1,
            "passed": true,
            "forward_bitwise_equal": true,
            "maximum_gradient_abs_error": 1.3877787807814457e-17,
            "inverse_max_abs_error": 2.220446049250313e-16,
            "saved_activation_storages": 1,
            "saved_activation_bytes": 1968,
            "saved_parameter_references": 2
          },
          {
            "dtype": "torch.float64",
            "depth": 2,
            "passed": true,
            "forward_bitwise_equal": true,
            "maximum_gradient_abs_error": 1.3877787807814457e-17,
            "inverse_max_abs_error": 4.440892098500626e-16,
            "saved_activation_storages": 1,
            "saved_activation_bytes": 1968,
            "saved_parameter_references": 4
          },
          {
            "dtype": "torch.float32",
            "depth": 1,
            "passed": true,
            "forward_bitwise_equal": true,
            "maximum_gradient_abs_error": 0.0,
            "inverse_max_abs_error": 2.9802322387695312e-08,
            "saved_activation_storages": 1,
            "saved_activation_bytes": 984,
            "saved_parameter_references": 2
          },
          {
            "dtype": "torch.float32",
            "depth": 2,
            "passed": true,
            "forward_bitwise_equal": true,
            "maximum_gradient_abs_error": 1.4901161193847656e-08,
            "inverse_max_abs_error": 2.384185791015625e-07,
            "saved_activation_storages": 1,
            "saved_activation_bytes": 984,
            "saved_parameter_references": 4
          }
        ],
        "scope": "Identical weights; ordinary autograd versus custom reconstruction for inputs and every parameter. First-order differentiation only."
      },
      "reversible_core": true,
      "retained_core_states": 1,
      "core_saved_bytes_per_example": 328,
      "head_reversible": false,
      "input_lift_injective": true,
      "timing_scope": "run resets weights/gradients/momentum, normalizes raw train and query pixels, copies resident epoch permutations, trains and predicts. Excludes setup, CPU permutation generation, allocation, transfer, capture and diagnostics."
    },
    "after_metadata": {
      "config": {
        "depth": 2,
        "alpha": 0.5,
        "seed": 11,
        "epochs": 2,
        "learning_rate": 0.1,
        "batch_size": 128,
        "momentum": 0.9,
        "weight_decay": 0.0
      },
      "parameter_count": 7554,
      "train_count": 10000,
      "test_count": 10000,
      "fresh_initialization_per_run": true,
      "checkpoint_loaded": false,
      "normalization": "4*x-0.5 then append one zero coordinate",
      "initialization": "branch normal(0,0.05/sqrt(41)); standard torch Linear head; seed-only",
      "optimizer": "SGD momentum; zero initial velocity; gradient mean cross entropy",
      "shuffle": "independent PCG64 permutation each epoch, seed-only",
      "augmentation": "none",
      "input_hashes": {
        "train_images": "aa68fb7d65b7dcd9c91fd62e48b42ed6a60f7e1fad7c53b1b0ec2c73a5a7c5d1",
        "train_labels": "72abc25a7a08e37d3ae171b30b3e5617ce288cafab5f4df112b352b93f2133fb",
        "test_images": "78aa1bca675869c1e08ba944b99d45dce473bee70d893240be8d733acc6d0144"
      },
      "epoch_permutation_sha256": [
        "06a0c75a115780a2112f0ba86be13d19162762e59c36bb0c27ae35dc688c01ef",
        "fc7dcea80db84b1177efbc923b2d1ecf4eb4184bd2d4afd32c9af9c6160502b0"
      ],
      "initial_parameter_sha256": {
        "weights.0": "194490b683f6426b65457a6725f0646768f8d46a361d9b125cfc768ab614f8fb",
        "weights.1": "bcbcbf732d68415f6c7c393c31343810467d8a86951e70237f6c36712785dd02",
        "weights.2": "60acda6b3f2f888c9f70f9c2d0ebb53e66d3deb3e1ba760160b87d76f0a92b98",
        "weights.3": "16f24aea0689177ce23b7d09de49339a0fa0a0ba75753a10a85ed850a7083cc8",
        "head.weight": "39bc6f6f4720618f6da778924cc306b6f5a0865d4042c58771d4c93cb573b512",
        "head.bias": "5ce9e9fee433d39fa1edf54bebdd7bf9e6686a86a38b65c7862577d8faf1379d"
      },
      "final_parameter_sha256": {
        "weights.0": "50d5bc3dcbe7dfd34cd1590048629b4d5ac4d4e7e3a0dac5dd5c3bd480e4dd2f",
        "weights.1": "fca2f7dc38383ba59ac71e98de5e71bd1fba71675ee0672f634a66bb8d153885",
        "weights.2": "e24b86ba7f45e01ebfc234ad3c15a876aa269ee0f286be37b2fc9bf0b386af75",
        "weights.3": "b170a498622c1698238ba8440f1cc25ae44d045a51bf0fbd39de495cfe73f99f",
        "head.weight": "706e7bcfd6b48a76582fd28f9679eadaf323fbb3c461557384f581dc2b1be842",
        "head.bias": "d98a0d189c7772e8352c850faa5f721eccff42bbc24dcce4c0776a2e83524312"
      },
      "final_velocity_sha256": {
        "weights.0": "450834df50ef4dfe42dcfcebe089aacea6efb8743f812892a20503ad20df3c84",
        "weights.1": "107a687d6251073024abbe9834c1e85b06eb5bb77480b1025f500d2e08e2c777",
        "weights.2": "b23132c42a1869bb803108a61ce23ea65fe8bcf98f4c6696fbdd72830237b6a4",
        "weights.3": "f38971086fd2090afea2f1e23deb312bc1af3cb41c7a0538c5b089882719e0c5",
        "head.weight": "715c14d2794695066fab32ab119b8e87599325fb7aba0a996f10b8b2c0a74c83",
        "head.bias": "fb1586654860b60c70e83fb404a3fecd2a495f4f841df3d7ccd9811e76aed328"
      },
      "state_vector_sha256": "fb2a11ad2a30522e01e9228619406c13c8f8d57ebcb75d10556f689fe4430ef9",
      "predictions_sha256": "37724115cb2d3242eb4a4f76d3a879ac92d729939320e5f6f2bd046bd631f200",
      "scores_sha256": "be5b7c1c7c0321aa6d157309cf6953c741bc4abfb768dfeea24d984f98ebf5e9",
      "preparation_seconds": 2.2354910179999994,
      "run_count": 315,
      "validation": {
        "passed": true,
        "device": "cpu",
        "checks": [
          {
            "dtype": "torch.float64",
            "depth": 1,
            "passed": true,
            "forward_bitwise_equal": true,
            "maximum_gradient_abs_error": 1.3877787807814457e-17,
            "inverse_max_abs_error": 2.220446049250313e-16,
            "saved_activation_storages": 1,
            "saved_activation_bytes": 1968,
            "saved_parameter_references": 2
          },
          {
            "dtype": "torch.float64",
            "depth": 2,
            "passed": true,
            "forward_bitwise_equal": true,
            "maximum_gradient_abs_error": 1.3877787807814457e-17,
            "inverse_max_abs_error": 4.440892098500626e-16,
            "saved_activation_storages": 1,
            "saved_activation_bytes": 1968,
            "saved_parameter_references": 4
          },
          {
            "dtype": "torch.float32",
            "depth": 1,
            "passed": true,
            "forward_bitwise_equal": true,
            "maximum_gradient_abs_error": 0.0,
            "inverse_max_abs_error": 2.9802322387695312e-08,
            "saved_activation_storages": 1,
            "saved_activation_bytes": 984,
            "saved_parameter_references": 2
          },
          {
            "dtype": "torch.float32",
            "depth": 2,
            "passed": true,
            "forward_bitwise_equal": true,
            "maximum_gradient_abs_error": 1.4901161193847656e-08,
            "inverse_max_abs_error": 2.384185791015625e-07,
            "saved_activation_storages": 1,
            "saved_activation_bytes": 984,
            "saved_parameter_references": 4
          }
        ],
        "scope": "Identical weights; ordinary autograd versus custom reconstruction for inputs and every parameter. First-order differentiation only."
      },
      "reversible_core": true,
      "retained_core_states": 1,
      "core_saved_bytes_per_example": 328,
      "head_reversible": false,
      "input_lift_injective": true,
      "timing_scope": "run resets weights/gradients/momentum, normalizes raw train and query pixels, copies resident epoch permutations, trains and predicts. Excludes setup, CPU permutation generation, allocation, transfer, capture and diagnostics."
    }
  }
}