{
  "apical_warmup": {
    "last": {
      "calibration_mse": 518.2959050717561,
      "prediction_target_cosine": 0.00016553175127441687,
      "target_power": 518.2958984375
    },
    "steps": 100
  },
  "architecture": {
    "adaptive_apical_parameters": 390592,
    "base_width": 16,
    "blocks_per_stage": 3,
    "bn_eps": 1e-05,
    "bn_momentum": 0.1,
    "depth": 20,
    "family": "CIFAR 6n+2 ResNet, option-A shortcuts",
    "fixed_traffic_coefficients": 188416,
    "forward_parameters": 269722,
    "hidden_shapes": [
      [
        16,
        32,
        32
      ],
      [
        16,
        32,
        32
      ],
      [
        16,
        32,
        32
      ],
      [
        16,
        32,
        32
      ],
      [
        16,
        32,
        32
      ],
      [
        16,
        32,
        32
      ],
      [
        16,
        32,
        32
      ],
      [
        32,
        16,
        16
      ],
      [
        32,
        16,
        16
      ],
      [
        32,
        16,
        16
      ],
      [
        32,
        16,
        16
      ],
      [
        32,
        16,
        16
      ],
      [
        32,
        16,
        16
      ],
      [
        64,
        8,
        8
      ],
      [
        64,
        8,
        8
      ],
      [
        64,
        8,
        8
      ],
      [
        64,
        8,
        8
      ],
      [
        64,
        8,
        8
      ],
      [
        64,
        8,
        8
      ]
    ],
    "normalization": "batchnorm",
    "predictor_parameters": 376832,
    "residual_scale": 1.0,
    "vectorizer_mode": "channel_gated",
    "vectorizer_parameters": 13760
  },
  "args": {
    "a_scale": 1.0,
    "a_warmup_steps": 100,
    "alignment_probe": 32,
    "apical_seed": null,
    "augment_train": 1,
    "batch_size": 128,
    "bn_eps": 1e-05,
    "bn_momentum": 0.1,
    "data_dir": "/home/yurenh2/sdrn/data",
    "depth": 20,
    "device": "cuda:0",
    "epochs": 20,
    "eta_A": 0.001,
    "eta_P": 0.01,
    "eval_every": 0,
    "eval_split": "validation",
    "learn_P": 0,
    "loader_seed": 0,
    "lr": 0.1,
    "lr_gamma": 0.1,
    "lr_milestones": "100,150",
    "lr_schedule": "cosine",
    "max_steps": 0,
    "mode": "sdil",
    "momentum": 0.9,
    "normalization": "batchnorm",
    "nuisance_scale": 0.0,
    "out": "results/oral_a_short/sdil_channel_gated_lr0.1.json",
    "output_lr": 0.1,
    "pert_directions": 1,
    "pert_every": 4,
    "pert_sigma": 0.01,
    "perturb_seed": 1000,
    "predictor_warmup_steps": 0,
    "residual_scale": null,
    "seed": 0,
    "split_seed": 2027,
    "train_limit": 10000,
    "use_residual": 1,
    "val_examples": 5000,
    "vectorizer_mode": "channel_gated",
    "warmup_epochs": 0,
    "weight_decay": 0.0001,
    "weight_scale": 1.0,
    "width": 16
  },
  "counters": {
    "apical_warmup_examples": 12688,
    "calibration_event_examples": 62688,
    "causal_scalar_observations": 990,
    "logical_batch_loss_queries": 990,
    "ordinary_examples": 200000,
    "per_example_loss_terms": 125376,
    "perturbation_events": 495,
    "perturbation_forward_examples": 125376,
    "predictor_warmup_examples": 0
  },
  "diagnostics": {
    "early_third_mean": 0.08000707471122344,
    "innovation_negative_gradient_cosine": [
      0.1133790984749794,
      0.12308487296104431,
      0.09794244170188904,
      0.07138215750455856,
      0.05488227307796478,
      0.019371604546904564,
      0.015585479326546192,
      0.04312252625823021,
      0.006569968536496162,
      0.048957690596580505,
      0.041394077241420746,
      -0.03040825016796589,
      0.023677144199609756,
      0.11618378013372421,
      0.185902938246727,
      0.21603626012802124,
      0.1565398871898651,
      0.16705910861492157,
      -0.004543994553387165
    ],
    "normalization_state": "training_batch_stats_without_running_update",
    "raw_negative_gradient_cosine": [
      0.1133790984749794,
      0.12308487296104431,
      0.09794244170188904,
      0.07138215750455856,
      0.05488227307796478,
      0.019371604546904564,
      0.015585479326546192,
      0.04312252625823021,
      0.006569968536496162,
      0.048957690596580505,
      0.041394077241420746,
      -0.03040825016796589,
      0.023677144199609756,
      0.11618378013372421,
      0.185902938246727,
      0.21603626012802124,
      0.1565398871898651,
      0.16705910861492157,
      -0.004543994553387165
    ],
    "teaching_negative_gradient_cosine": [
      0.1133790984749794,
      0.12308487296104431,
      0.09794244170188904,
      0.07138215750455856,
      0.05488227307796478,
      0.019371604546904564,
      0.015585479326546192,
      0.04312252625823021,
      0.006569968536496162,
      0.048957690596580505,
      0.041394077241420746,
      -0.03040825016796589,
      0.023677144199609756,
      0.11618378013372421,
      0.185902938246727,
      0.21603626012802124,
      0.1565398871898651,
      0.16705910861492157,
      -0.004543994553387165
    ],
    "wall_s": 0.10671830177307129
  },
  "epochs": [
    {
      "calibration": {
        "calibration_mse": 60.43777185808058,
        "prediction_target_cosine": -6.181264794266107e-05,
        "target_power": 60.43776736048902
      },
      "epoch": 1,
      "lr": 0.1,
      "output_lr": 0.1,
      "step": 79,
      "train_examples": 10000,
      "train_loss": 2.5334342124938964
    },
    {
      "calibration": {
        "calibration_mse": 23.54987083374619,
        "prediction_target_cosine": -6.96036363511297e-05,
        "target_power": 23.549866315204163
      },
      "epoch": 2,
      "lr": 0.0993844170297569,
      "output_lr": 0.0993844170297569,
      "step": 158,
      "train_examples": 10000,
      "train_loss": 2.5487233268737794
    },
    {
      "calibration": {
        "calibration_mse": 11.827637325330516,
        "prediction_target_cosine": -3.0372441458224223e-06,
        "target_power": 11.827633745229358
      },
      "epoch": 3,
      "lr": 0.09755282581475769,
      "output_lr": 0.09755282581475769,
      "step": 237,
      "train_examples": 10000,
      "train_loss": 2.461765655517578
    },
    {
      "calibration": {
        "calibration_mse": 30.754039637663446,
        "prediction_target_cosine": 1.8163386607575518e-05,
        "target_power": 30.754037120982627
      },
      "epoch": 4,
      "lr": 0.09455032620941839,
      "output_lr": 0.09455032620941839,
      "step": 316,
      "train_examples": 10000,
      "train_loss": 2.3639930412292482
    },
    {
      "calibration": {
        "calibration_mse": 52.041269661478054,
        "prediction_target_cosine": 7.097774633237941e-05,
        "target_power": 52.041270009258184
      },
      "epoch": 5,
      "lr": 0.09045084971874738,
      "output_lr": 0.09045084971874738,
      "step": 395,
      "train_examples": 10000,
      "train_loss": 2.3211933601379395
    },
    {
      "calibration": {
        "calibration_mse": 42.16324888252278,
        "prediction_target_cosine": 7.073739299367894e-05,
        "target_power": 42.16324767635568
      },
      "epoch": 6,
      "lr": 0.08535533905932738,
      "output_lr": 0.08535533905932738,
      "step": 474,
      "train_examples": 10000,
      "train_loss": 2.2405354804992674
    },
    {
      "calibration": {
        "calibration_mse": 96.60961034550614,
        "prediction_target_cosine": -2.6760619008438326e-05,
        "target_power": 96.60960379281771
      },
      "epoch": 7,
      "lr": 0.07938926261462366,
      "output_lr": 0.07938926261462366,
      "step": 553,
      "train_examples": 10000,
      "train_loss": 2.1257784160614013
    },
    {
      "calibration": {
        "calibration_mse": 95.43317693296298,
        "prediction_target_cosine": -1.0208342923692714e-05,
        "target_power": 95.43316866958713
      },
      "epoch": 8,
      "lr": 0.07269952498697733,
      "output_lr": 0.07269952498697733,
      "step": 632,
      "train_examples": 10000,
      "train_loss": 2.2211479858398437
    },
    {
      "calibration": {
        "calibration_mse": 66.98153618496397,
        "prediction_target_cosine": -1.2381250456731113e-05,
        "target_power": 66.98153039761213
      },
      "epoch": 9,
      "lr": 0.06545084971874737,
      "output_lr": 0.06545084971874737,
      "step": 711,
      "train_examples": 10000,
      "train_loss": 2.083836813926697
    },
    {
      "calibration": {
        "calibration_mse": 146.6930261971186,
        "prediction_target_cosine": -5.327456506330552e-07,
        "target_power": 146.69302486945753
      },
      "epoch": 10,
      "lr": 0.05782172325201155,
      "output_lr": 0.05782172325201155,
      "step": 790,
      "train_examples": 10000,
      "train_loss": 1.9434806201934816
    },
    {
      "calibration": {
        "calibration_mse": 80.2759034222883,
        "prediction_target_cosine": 4.8706224176594515e-05,
        "target_power": 80.27590192608213
      },
      "epoch": 11,
      "lr": 0.05,
      "output_lr": 0.05,
      "step": 869,
      "train_examples": 10000,
      "train_loss": 1.9414970417022706
    },
    {
      "calibration": {
        "calibration_mse": 96.45602903597789,
        "prediction_target_cosine": -4.129046053586153e-05,
        "target_power": 96.45602758309765
      },
      "epoch": 12,
      "lr": 0.04217827674798845,
      "output_lr": 0.04217827674798845,
      "step": 948,
      "train_examples": 10000,
      "train_loss": 1.8372822145462036
    },
    {
      "calibration": {
        "calibration_mse": 176.84556970363073,
        "prediction_target_cosine": -1.9519702580488654e-05,
        "target_power": 176.84556127799596
      },
      "epoch": 13,
      "lr": 0.03454915028125263,
      "output_lr": 0.03454915028125263,
      "step": 1027,
      "train_examples": 10000,
      "train_loss": 1.7941364185333253
    },
    {
      "calibration": {
        "calibration_mse": 75.1211485477286,
        "prediction_target_cosine": 0.00010757188693459416,
        "target_power": 75.12114817083045
      },
      "epoch": 14,
      "lr": 0.027300475013022664,
      "output_lr": 0.027300475013022664,
      "step": 1106,
      "train_examples": 10000,
      "train_loss": 1.7450150983810424
    },
    {
      "calibration": {
        "calibration_mse": 114.3603014383627,
        "prediction_target_cosine": -9.490821681384313e-07,
        "target_power": 114.36030431791491
      },
      "epoch": 15,
      "lr": 0.02061073738537635,
      "output_lr": 0.02061073738537635,
      "step": 1185,
      "train_examples": 10000,
      "train_loss": 1.6714060207366943
    },
    {
      "calibration": {
        "calibration_mse": 122.73489581566791,
        "prediction_target_cosine": 4.2819634654651794e-05,
        "target_power": 122.7348966235018
      },
      "epoch": 16,
      "lr": 0.014644660940672627,
      "output_lr": 0.014644660940672627,
      "step": 1264,
      "train_examples": 10000,
      "train_loss": 1.6516524749755859
    },
    {
      "calibration": {
        "calibration_mse": 42.00022924316126,
        "prediction_target_cosine": -4.6748324469624814e-05,
        "target_power": 42.000227053771205
      },
      "epoch": 17,
      "lr": 0.009549150281252633,
      "output_lr": 0.009549150281252633,
      "step": 1343,
      "train_examples": 10000,
      "train_loss": 1.6312512542724609
    },
    {
      "calibration": {
        "calibration_mse": 146.15481284242125,
        "prediction_target_cosine": -1.823520416534038e-05,
        "target_power": 146.15481366035732
      },
      "epoch": 18,
      "lr": 0.005449673790581611,
      "output_lr": 0.005449673790581611,
      "step": 1422,
      "train_examples": 10000,
      "train_loss": 1.592088447189331
    },
    {
      "calibration": {
        "calibration_mse": 50.12404485339623,
        "prediction_target_cosine": 7.522739697549936e-05,
        "target_power": 50.12404224670939
      },
      "epoch": 19,
      "lr": 0.0024471741852423235,
      "output_lr": 0.0024471741852423235,
      "step": 1501,
      "train_examples": 10000,
      "train_loss": 1.5661032293319703
    },
    {
      "calibration": {
        "calibration_mse": 81.33399665307944,
        "prediction_target_cosine": 8.698869592416884e-05,
        "target_power": 81.33399560536073
      },
      "epoch": 20,
      "lr": 0.0006155829702431171,
      "output_lr": 0.0006155829702431171,
      "step": 1580,
      "train_examples": 10000,
      "train_loss": 1.5665943405151368
    }
  ],
  "evaluation_protocol": {
    "test_evaluations": 0,
    "test_used_for_selection": false,
    "validation_evaluations": 1
  },
  "final": {
    "accuracy": 0.414,
    "epoch": 20,
    "evaluation_split": "validation",
    "finite": true,
    "loss": 1.597408447265625,
    "step": 1580
  },
  "hardware": {
    "cuda_device_name": "NVIDIA GeForce GTX 1080",
    "cuda_visible_devices": "5",
    "device": "cuda:0",
    "device_total_memory_bytes": 8507949056,
    "peak_memory_allocated_bytes": 1733492736,
    "peak_memory_reserved_bytes": 2858418176,
    "torch_version": "2.3.1+cu118"
  },
  "protocol_family": "oral_a_cifar_local_resnet_development",
  "provenance": {
    "git_commit": "a1d060e6d96d4ab973d16cd75149dd61899c7c95",
    "git_tracked_dirty": false
  },
  "schema_version": 1,
  "split": {
    "cifar_source_files": [
      {
        "bytes": 31035704,
        "path": "/home/yurenh2/sdrn/data/cifar-10-batches-py/data_batch_1",
        "sha256": "54636561a3ce25bd3e19253c6b0d8538147b0ae398331ac4a2d86c6d987368cd"
      },
      {
        "bytes": 31035320,
        "path": "/home/yurenh2/sdrn/data/cifar-10-batches-py/data_batch_2",
        "sha256": "766b2cef9fbc745cf056b3152224f7cf77163b330ea9a15f9392beb8b89bc5a8"
      },
      {
        "bytes": 31035999,
        "path": "/home/yurenh2/sdrn/data/cifar-10-batches-py/data_batch_3",
        "sha256": "0f00d98ebfb30b3ec0ad19f9756dc2630b89003e10525f5e148445e82aa6a1f9"
      },
      {
        "bytes": 31035696,
        "path": "/home/yurenh2/sdrn/data/cifar-10-batches-py/data_batch_4",
        "sha256": "3f7bb240661948b8f4d53e36ec720d8306f5668bd0071dcb4e6c947f78e9682b"
      },
      {
        "bytes": 31035623,
        "path": "/home/yurenh2/sdrn/data/cifar-10-batches-py/data_batch_5",
        "sha256": "d91802434d8376bbaeeadf58a737e3a1b12ac839077e931237e0dcd43adcb154"
      },
      {
        "bytes": 31035526,
        "path": "/home/yurenh2/sdrn/data/cifar-10-batches-py/test_batch",
        "sha256": "f53d8d457504f7cff4ea9e021afcf0e0ad8e24a91f3fc42091b8adef61157831"
      }
    ],
    "dataset": "cifar10",
    "evaluation_split": "validation",
    "input_layout": "NCHW",
    "input_shape": [
      3,
      32,
      32
    ],
    "loader_seed": 0,
    "normalization_mean": [
      0.49140000343322754,
      0.4821999967098236,
      0.4465000033378601
    ],
    "normalization_std": [
      0.24699999392032623,
      0.2434999942779541,
      0.26159998774528503
    ],
    "split_from_training_only": true,
    "split_seed": 2027,
    "test_examples": 10000,
    "train_examples": 10000,
    "training_augmentation": "random_crop_32_padding_4_zero_then_horizontal_flip_p0.5",
    "validation_class_counts": {
      "0": 500,
      "1": 500,
      "2": 500,
      "3": 500,
      "4": 500,
      "5": 500,
      "6": 500,
      "7": 500,
      "8": 500,
      "9": 500
    },
    "validation_examples": 5000,
    "validation_index_sha256": "8328b206a97c420e49e54e3eca4abe3274c4756b084355784ea3fb8059e4515b"
  },
  "timing": {
    "apical_warmup_wall_s": 6.4902708530426025,
    "evaluation_wall_s": 0.36696362495422363,
    "predictor_warmup_wall_s": 0.0,
    "timing_excludes_data_loading_hashing_and_model_construction": true,
    "total_timed_wall_s": 100.41240739822388,
    "train_wall_s": 93.55240631103516
  },
  "work": {
    "apical_macs_per_example": 202176,
    "causal_scalar_observations": 990,
    "components": {
      "apical_projection_macs": 43000409088,
      "apical_regression_macs": 12674009088,
      "bp_reverse_macs_estimate": 0,
      "local_weight_correlation_macs": 8110208000000,
      "ordinary_forward_macs": 8110208000000,
      "perturbation_forward_macs": 5084127191040,
      "warmup_clean_forward_macs": 514511595520
    },
    "definition": "multiply-accumulates in conv/linear maps; one local weight correlation equals one forward-weight MAC count; BP reverse is estimated as one weight-gradient plus one activation-gradient convolution per forward convolution; elementwise nonlinearities and optimizer arithmetic excluded",
    "forward_macs_per_example": 40551040,
    "logical_batch_loss_queries": 990,
    "per_example_cross_entropy_terms": 125376,
    "total_clean_forward_examples": 212688,
    "total_forward_equivalent_examples": 338064,
    "total_macs_estimate": 21874729204736
  }
}