{
  "apical_warmup": {
    "last": {
      "calibration_mse": 518.296547267748,
      "prediction_target_cosine": -7.364532238643221e-05,
      "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": 0,
    "eta_A": 0.1,
    "eta_P": 0.01,
    "eval_every": 0,
    "eval_split": "validation",
    "learn_P": 0,
    "loader_seed": 0,
    "lr": 0.03,
    "lr_gamma": 0.1,
    "lr_milestones": "100,150",
    "lr_schedule": "constant",
    "max_steps": 0,
    "mode": "sdil",
    "momentum": 0.9,
    "normalization": "batchnorm",
    "nuisance_scale": 0.0,
    "out": "results/oral_a_apical_screen/channel_gated_a1_etaA0.1.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": 12688,
    "causal_scalar_observations": 200,
    "logical_batch_loss_queries": 200,
    "ordinary_examples": 0,
    "per_example_loss_terms": 25376,
    "perturbation_events": 100,
    "perturbation_forward_examples": 25376,
    "predictor_warmup_examples": 0
  },
  "diagnostics": {
    "early_third_mean": -7.813629539062579e-05,
    "innovation_negative_gradient_cosine": [
      0.001576898037455976,
      -0.0027433838695287704,
      0.00403923774138093,
      0.0017451172461733222,
      -0.009138381108641624,
      0.004051694180816412,
      -0.011002816259860992,
      0.0061003053560853004,
      -0.021391529589891434,
      -0.005690492689609528,
      -0.002404250204563141,
      0.018496904522180557,
      0.006963520310819149,
      0.00920878816395998,
      -0.019383680075407028,
      0.037107981741428375,
      -0.038281023502349854,
      0.036819469183683395,
      0.038529884070158005
    ],
    "normalization_state": "training_batch_stats_without_running_update",
    "raw_negative_gradient_cosine": [
      0.001576898037455976,
      -0.0027433838695287704,
      0.00403923774138093,
      0.0017451172461733222,
      -0.009138381108641624,
      0.004051694180816412,
      -0.011002816259860992,
      0.0061003053560853004,
      -0.021391529589891434,
      -0.005690492689609528,
      -0.002404250204563141,
      0.018496904522180557,
      0.006963520310819149,
      0.00920878816395998,
      -0.019383680075407028,
      0.037107981741428375,
      -0.038281023502349854,
      0.036819469183683395,
      0.038529884070158005
    ],
    "teaching_negative_gradient_cosine": [
      0.001576898037455976,
      -0.0027433838695287704,
      0.00403923774138093,
      0.0017451172461733222,
      -0.009138381108641624,
      0.004051694180816412,
      -0.011002816259860992,
      0.0061003053560853004,
      -0.021391529589891434,
      -0.005690492689609528,
      -0.002404250204563141,
      0.018496904522180557,
      0.006963520310819149,
      0.00920878816395998,
      -0.019383680075407028,
      0.037107981741428375,
      -0.038281023502349854,
      0.036819469183683395,
      0.038529884070158005
    ],
    "wall_s": 0.10103249549865723
  },
  "epochs": [],
  "evaluation_protocol": {
    "test_evaluations": 0,
    "test_used_for_selection": false,
    "validation_evaluations": 1
  },
  "final": {
    "accuracy": 0.1004,
    "epoch": 0,
    "evaluation_split": "validation",
    "finite": true,
    "loss": 16.593759375,
    "step": 0
  },
  "hardware": {
    "cuda_device_name": "NVIDIA GeForce GTX 1080",
    "cuda_visible_devices": "5",
    "device": "cuda:0",
    "device_total_memory_bytes": 8507949056,
    "peak_memory_allocated_bytes": 1734868480,
    "peak_memory_reserved_bytes": 2690646016,
    "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": 6.503638505935669,
    "evaluation_wall_s": 0.365323543548584,
    "predictor_warmup_wall_s": 0.0,
    "timing_excludes_data_loading_hashing_and_model_construction": true,
    "total_timed_wall_s": 6.869091987609863,
    "train_wall_s": 0.0
  },
  "work": {
    "apical_macs_per_example": 202176,
    "causal_scalar_observations": 200,
    "components": {
      "apical_projection_macs": 2565209088,
      "apical_regression_macs": 2565209088,
      "bp_reverse_macs_estimate": 0,
      "local_weight_correlation_macs": 0,
      "ordinary_forward_macs": 0,
      "perturbation_forward_macs": 1029023191040,
      "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": 200,
    "per_example_cross_entropy_terms": 25376,
    "total_clean_forward_examples": 12688,
    "total_forward_equivalent_examples": 38064,
    "total_macs_estimate": 1548665204736
  }
}