results: record mixed-traffic short failure

1 files changed, 1051 insertions, 0 deletions

diff --git a/results/kp_innovation_short/matched.json b/results/kp_innovation_short/matched.json
new file mode 100644
index 0000000..1bcb956
--- /dev/null
+++ b/results/kp_innovation_short/matched.json
@@ -0,0 +1,1051 @@
+{
+  "architecture": {
+    "adaptive_apical_parameters": 376832,
+    "adaptive_feedback_parameters": 267904,
+    "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_feedback_parameters": 0,
+    "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": null,
+    "vectorizer_parameters": 0
+  },
+  "args": {
+    "a_scale": 1.0,
+    "a_warmup_steps": 0,
+    "alignment_probe": 32,
+    "apical_calibration_mode": "unit_targets",
+    "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",
+    "epochs": 20,
+    "eta_A": 0.01,
+    "eta_P": 0.1,
+    "eval_every": 0,
+    "eval_split": "validation",
+    "learn_P": 1,
+    "loader_seed": 0,
+    "lr": 0.1,
+    "lr_gamma": 0.1,
+    "lr_milestones": "100,150",
+    "lr_schedule": "step",
+    "max_steps": 0,
+    "mirror_batch_size": 1,
+    "mirror_eta": 0.1,
+    "mirror_every": 16,
+    "mirror_noise_std": 1.0,
+    "mirror_seed": 3000,
+    "mirror_warmup_steps": 0,
+    "mode": "kp_traffic",
+    "momentum": 0.9,
+    "normalization": "batchnorm",
+    "nuisance_scale": 0.0,
+    "out": "results/kp_innovation_short/matched.json",
+    "output_lr": 0.1,
+    "pert_directions": 1,
+    "pert_every": 4,
+    "pert_sigma": 0.01,
+    "perturb_seed": 1000,
+    "predictor_every": 16,
+    "predictor_warmup_steps": 20,
+    "residual_scale": null,
+    "seed": 0,
+    "split_seed": 2027,
+    "traffic_calibration_examples": 64,
+    "traffic_ratio": 4.0,
+    "traffic_rule": "matched",
+    "traffic_seed": 4000,
+    "train_limit": 0,
+    "use_residual": 1,
+    "val_examples": 5000,
+    "vectorizer_mode": "spatial_template",
+    "warmup_epochs": 0,
+    "weight_decay": 0.0001,
+    "weight_scale": 1.0,
+    "width": 16
+  },
+  "calibration_metric_space": "reciprocal_local_activity_products_with_mixed_apical_traffic",
+  "counters": {
+    "apical_warmup_examples": 0,
+    "calibration_event_examples": 0,
+    "causal_scalar_observations": 0,
+    "logical_batch_loss_queries": 0,
+    "mirror_conv_examples": 0,
+    "mirror_events": 0,
+    "mirror_readout_examples": 0,
+    "ordinary_examples": 900000,
+    "per_example_loss_terms": 0,
+    "perturbation_events": 0,
+    "perturbation_forward_examples": 0,
+    "predictor_update_examples": 56320,
+    "predictor_warmup_examples": 2560,
+    "traffic_audit_examples": 64,
+    "traffic_calibration_examples": 64
+  },
+  "diagnostics": {
+    "early_third_mean": NaN,
+    "feedback_forward_cosine": [
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN
+    ],
+    "feedback_forward_norm_ratio": [
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN
+    ],
+    "feedback_forward_relative_error": [
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN
+    ],
+    "innovation_negative_gradient_cosine": [
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN
+    ],
+    "instruction_negative_gradient_cosine": [
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN
+    ],
+    "matched_negative_gradient_cosine": [
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN
+    ],
+    "max_norm_match_direction_error": NaN,
+    "max_norm_match_relative_error": NaN,
+    "mean_feedback_forward_cosine": NaN,
+    "mean_feedback_forward_relative_error": NaN,
+    "normalization_state": "training_batch_stats_without_running_update",
+    "predictor_traffic_residual_rms_ratio": NaN,
+    "raw_negative_gradient_cosine": [
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN
+    ],
+    "teaching_negative_gradient_cosine": [
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN
+    ],
+    "traffic_instruction_rms_ratio": NaN,
+    "used_negative_gradient_cosine": [
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN
+    ],
+    "wall_s": 0.14116454124450684
+  },
+  "epochs": [
+    {
+      "epoch": 1,
+      "feedback_tracking": {
+        "max_feedback_forward_relative_error": NaN,
+        "mean_feedback_forward_cosine": NaN,
+        "mean_feedback_forward_relative_error": NaN,
+        "min_feedback_forward_cosine": NaN
+      },
+      "lr": 0.1,
+      "mixed_apical": {
+        "innovation_rms": NaN,
+        "instruction_rms": NaN,
+        "raw_apical_rms": NaN,
+        "teaching_rms": NaN,
+        "traffic_rms": NaN
+      },
+      "output_lr": 0.1,
+      "step": 352,
+      "train_examples": 45000,
+      "train_loss": NaN
+    },
+    {
+      "epoch": 2,
+      "feedback_tracking": {
+        "max_feedback_forward_relative_error": NaN,
+        "mean_feedback_forward_cosine": NaN,
+        "mean_feedback_forward_relative_error": NaN,
+        "min_feedback_forward_cosine": NaN
+      },
+      "lr": 0.1,
+      "mixed_apical": {
+        "innovation_rms": NaN,
+        "instruction_rms": NaN,
+        "raw_apical_rms": NaN,
+        "teaching_rms": NaN,
+        "traffic_rms": NaN
+      },
+      "output_lr": 0.1,
+      "step": 704,
+      "train_examples": 45000,
+      "train_loss": NaN
+    },
+    {
+      "epoch": 3,
+      "feedback_tracking": {
+        "max_feedback_forward_relative_error": NaN,
+        "mean_feedback_forward_cosine": NaN,
+        "mean_feedback_forward_relative_error": NaN,
+        "min_feedback_forward_cosine": NaN
+      },
+      "lr": 0.1,
+      "mixed_apical": {
+        "innovation_rms": NaN,
+        "instruction_rms": NaN,
+        "raw_apical_rms": NaN,
+        "teaching_rms": NaN,
+        "traffic_rms": NaN
+      },
+      "output_lr": 0.1,
+      "step": 1056,
+      "train_examples": 45000,
+      "train_loss": NaN
+    },
+    {
+      "epoch": 4,
+      "feedback_tracking": {
+        "max_feedback_forward_relative_error": NaN,
+        "mean_feedback_forward_cosine": NaN,
+        "mean_feedback_forward_relative_error": NaN,
+        "min_feedback_forward_cosine": NaN
+      },
+      "lr": 0.1,
+      "mixed_apical": {
+        "innovation_rms": NaN,
+        "instruction_rms": NaN,
+        "raw_apical_rms": NaN,
+        "teaching_rms": NaN,
+        "traffic_rms": NaN
+      },
+      "output_lr": 0.1,
+      "step": 1408,
+      "train_examples": 45000,
+      "train_loss": NaN
+    },
+    {
+      "epoch": 5,
+      "feedback_tracking": {
+        "max_feedback_forward_relative_error": NaN,
+        "mean_feedback_forward_cosine": NaN,
+        "mean_feedback_forward_relative_error": NaN,
+        "min_feedback_forward_cosine": NaN
+      },
+      "lr": 0.1,
+      "mixed_apical": {
+        "innovation_rms": NaN,
+        "instruction_rms": NaN,
+        "raw_apical_rms": NaN,
+        "teaching_rms": NaN,
+        "traffic_rms": NaN
+      },
+      "output_lr": 0.1,
+      "step": 1760,
+      "train_examples": 45000,
+      "train_loss": NaN
+    },
+    {
+      "epoch": 6,
+      "feedback_tracking": {
+        "max_feedback_forward_relative_error": NaN,
+        "mean_feedback_forward_cosine": NaN,
+        "mean_feedback_forward_relative_error": NaN,
+        "min_feedback_forward_cosine": NaN
+      },
+      "lr": 0.1,
+      "mixed_apical": {
+        "innovation_rms": NaN,
+        "instruction_rms": NaN,
+        "raw_apical_rms": NaN,
+        "teaching_rms": NaN,
+        "traffic_rms": NaN
+      },
+      "output_lr": 0.1,
+      "step": 2112,
+      "train_examples": 45000,
+      "train_loss": NaN
+    },
+    {
+      "epoch": 7,
+      "feedback_tracking": {
+        "max_feedback_forward_relative_error": NaN,
+        "mean_feedback_forward_cosine": NaN,
+        "mean_feedback_forward_relative_error": NaN,
+        "min_feedback_forward_cosine": NaN
+      },
+      "lr": 0.1,
+      "mixed_apical": {
+        "innovation_rms": NaN,
+        "instruction_rms": NaN,
+        "raw_apical_rms": NaN,
+        "teaching_rms": NaN,
+        "traffic_rms": NaN
+      },
+      "output_lr": 0.1,
+      "step": 2464,
+      "train_examples": 45000,
+      "train_loss": NaN
+    },
+    {
+      "epoch": 8,
+      "feedback_tracking": {
+        "max_feedback_forward_relative_error": NaN,
+        "mean_feedback_forward_cosine": NaN,
+        "mean_feedback_forward_relative_error": NaN,
+        "min_feedback_forward_cosine": NaN
+      },
+      "lr": 0.1,
+      "mixed_apical": {
+        "innovation_rms": NaN,
+        "instruction_rms": NaN,
+        "raw_apical_rms": NaN,
+        "teaching_rms": NaN,
+        "traffic_rms": NaN
+      },
+      "output_lr": 0.1,
+      "step": 2816,
+      "train_examples": 45000,
+      "train_loss": NaN
+    },
+    {
+      "epoch": 9,
+      "feedback_tracking": {
+        "max_feedback_forward_relative_error": NaN,
+        "mean_feedback_forward_cosine": NaN,
+        "mean_feedback_forward_relative_error": NaN,
+        "min_feedback_forward_cosine": NaN
+      },
+      "lr": 0.1,
+      "mixed_apical": {
+        "innovation_rms": NaN,
+        "instruction_rms": NaN,
+        "raw_apical_rms": NaN,
+        "teaching_rms": NaN,
+        "traffic_rms": NaN
+      },
+      "output_lr": 0.1,
+      "step": 3168,
+      "train_examples": 45000,
+      "train_loss": NaN
+    },
+    {
+      "epoch": 10,
+      "feedback_tracking": {
+        "max_feedback_forward_relative_error": NaN,
+        "mean_feedback_forward_cosine": NaN,
+        "mean_feedback_forward_relative_error": NaN,
+        "min_feedback_forward_cosine": NaN
+      },
+      "lr": 0.1,
+      "mixed_apical": {
+        "innovation_rms": NaN,
+        "instruction_rms": NaN,
+        "raw_apical_rms": NaN,
+        "teaching_rms": NaN,
+        "traffic_rms": NaN
+      },
+      "output_lr": 0.1,
+      "step": 3520,
+      "train_examples": 45000,
+      "train_loss": NaN
+    },
+    {
+      "epoch": 11,
+      "feedback_tracking": {
+        "max_feedback_forward_relative_error": NaN,
+        "mean_feedback_forward_cosine": NaN,
+        "mean_feedback_forward_relative_error": NaN,
+        "min_feedback_forward_cosine": NaN
+      },
+      "lr": 0.1,
+      "mixed_apical": {
+        "innovation_rms": NaN,
+        "instruction_rms": NaN,
+        "raw_apical_rms": NaN,
+        "teaching_rms": NaN,
+        "traffic_rms": NaN
+      },
+      "output_lr": 0.1,
+      "step": 3872,
+      "train_examples": 45000,
+      "train_loss": NaN
+    },
+    {
+      "epoch": 12,
+      "feedback_tracking": {
+        "max_feedback_forward_relative_error": NaN,
+        "mean_feedback_forward_cosine": NaN,
+        "mean_feedback_forward_relative_error": NaN,
+        "min_feedback_forward_cosine": NaN
+      },
+      "lr": 0.1,
+      "mixed_apical": {
+        "innovation_rms": NaN,
+        "instruction_rms": NaN,
+        "raw_apical_rms": NaN,
+        "teaching_rms": NaN,
+        "traffic_rms": NaN
+      },
+      "output_lr": 0.1,
+      "step": 4224,
+      "train_examples": 45000,
+      "train_loss": NaN
+    },
+    {
+      "epoch": 13,
+      "feedback_tracking": {
+        "max_feedback_forward_relative_error": NaN,
+        "mean_feedback_forward_cosine": NaN,
+        "mean_feedback_forward_relative_error": NaN,
+        "min_feedback_forward_cosine": NaN
+      },
+      "lr": 0.1,
+      "mixed_apical": {
+        "innovation_rms": NaN,
+        "instruction_rms": NaN,
+        "raw_apical_rms": NaN,
+        "teaching_rms": NaN,
+        "traffic_rms": NaN
+      },
+      "output_lr": 0.1,
+      "step": 4576,
+      "train_examples": 45000,
+      "train_loss": NaN
+    },
+    {
+      "epoch": 14,
+      "feedback_tracking": {
+        "max_feedback_forward_relative_error": NaN,
+        "mean_feedback_forward_cosine": NaN,
+        "mean_feedback_forward_relative_error": NaN,
+        "min_feedback_forward_cosine": NaN
+      },
+      "lr": 0.1,
+      "mixed_apical": {
+        "innovation_rms": NaN,
+        "instruction_rms": NaN,
+        "raw_apical_rms": NaN,
+        "teaching_rms": NaN,
+        "traffic_rms": NaN
+      },
+      "output_lr": 0.1,
+      "step": 4928,
+      "train_examples": 45000,
+      "train_loss": NaN
+    },
+    {
+      "epoch": 15,
+      "feedback_tracking": {
+        "max_feedback_forward_relative_error": NaN,
+        "mean_feedback_forward_cosine": NaN,
+        "mean_feedback_forward_relative_error": NaN,
+        "min_feedback_forward_cosine": NaN
+      },
+      "lr": 0.1,
+      "mixed_apical": {
+        "innovation_rms": NaN,
+        "instruction_rms": NaN,
+        "raw_apical_rms": NaN,
+        "teaching_rms": NaN,
+        "traffic_rms": NaN
+      },
+      "output_lr": 0.1,
+      "step": 5280,
+      "train_examples": 45000,
+      "train_loss": NaN
+    },
+    {
+      "epoch": 16,
+      "feedback_tracking": {
+        "max_feedback_forward_relative_error": NaN,
+        "mean_feedback_forward_cosine": NaN,
+        "mean_feedback_forward_relative_error": NaN,
+        "min_feedback_forward_cosine": NaN
+      },
+      "lr": 0.1,
+      "mixed_apical": {
+        "innovation_rms": NaN,
+        "instruction_rms": NaN,
+        "raw_apical_rms": NaN,
+        "teaching_rms": NaN,
+        "traffic_rms": NaN
+      },
+      "output_lr": 0.1,
+      "step": 5632,
+      "train_examples": 45000,
+      "train_loss": NaN
+    },
+    {
+      "epoch": 17,
+      "feedback_tracking": {
+        "max_feedback_forward_relative_error": NaN,
+        "mean_feedback_forward_cosine": NaN,
+        "mean_feedback_forward_relative_error": NaN,
+        "min_feedback_forward_cosine": NaN
+      },
+      "lr": 0.1,
+      "mixed_apical": {
+        "innovation_rms": NaN,
+        "instruction_rms": NaN,
+        "raw_apical_rms": NaN,
+        "teaching_rms": NaN,
+        "traffic_rms": NaN
+      },
+      "output_lr": 0.1,
+      "step": 5984,
+      "train_examples": 45000,
+      "train_loss": NaN
+    },
+    {
+      "epoch": 18,
+      "feedback_tracking": {
+        "max_feedback_forward_relative_error": NaN,
+        "mean_feedback_forward_cosine": NaN,
+        "mean_feedback_forward_relative_error": NaN,
+        "min_feedback_forward_cosine": NaN
+      },
+      "lr": 0.1,
+      "mixed_apical": {
+        "innovation_rms": NaN,
+        "instruction_rms": NaN,
+        "raw_apical_rms": NaN,
+        "teaching_rms": NaN,
+        "traffic_rms": NaN
+      },
+      "output_lr": 0.1,
+      "step": 6336,
+      "train_examples": 45000,
+      "train_loss": NaN
+    },
+    {
+      "epoch": 19,
+      "feedback_tracking": {
+        "max_feedback_forward_relative_error": NaN,
+        "mean_feedback_forward_cosine": NaN,
+        "mean_feedback_forward_relative_error": NaN,
+        "min_feedback_forward_cosine": NaN
+      },
+      "lr": 0.1,
+      "mixed_apical": {
+        "innovation_rms": NaN,
+        "instruction_rms": NaN,
+        "raw_apical_rms": NaN,
+        "teaching_rms": NaN,
+        "traffic_rms": NaN
+      },
+      "output_lr": 0.1,
+      "step": 6688,
+      "train_examples": 45000,
+      "train_loss": NaN
+    },
+    {
+      "epoch": 20,
+      "feedback_tracking": {
+        "max_feedback_forward_relative_error": NaN,
+        "mean_feedback_forward_cosine": NaN,
+        "mean_feedback_forward_relative_error": NaN,
+        "min_feedback_forward_cosine": NaN
+      },
+      "lr": 0.1,
+      "mixed_apical": {
+        "innovation_rms": NaN,
+        "instruction_rms": NaN,
+        "raw_apical_rms": NaN,
+        "teaching_rms": NaN,
+        "traffic_rms": NaN
+      },
+      "output_lr": 0.1,
+      "step": 7040,
+      "train_examples": 45000,
+      "train_loss": NaN
+    }
+  ],
+  "evaluation_protocol": {
+    "test_evaluations": 0,
+    "test_used_for_selection": false,
+    "validation_evaluations": 1
+  },
+  "final": {
+    "accuracy": 0.1,
+    "epoch": 20,
+    "evaluation_split": "validation",
+    "finite": false,
+    "loss": NaN,
+    "step": 7040
+  },
+  "hardware": {
+    "cuda_device_name": "NVIDIA GeForce GTX 1080",
+    "cuda_visible_devices": "7",
+    "device": "cuda",
+    "device_total_memory_bytes": 8507949056,
+    "peak_memory_allocated_bytes": 2167159296,
+    "peak_memory_reserved_bytes": 3170893824,
+    "torch_version": "2.3.1+cu118"
+  },
+  "predictor_warmup": {
+    "first_mse": 0.0002822713352582903,
+    "instruction_present": false,
+    "last_mse": 5.667926707839955e-06,
+    "mean_mse": 6.0451078409730885e-05,
+    "post_warmup_traffic_residual_rms_ratio": 0.13994200341774746,
+    "steps": 20,
+    "task_loader_state_restored": true
+  },
+  "protocol_family": "oral_a_cifar_local_resnet_development",
+  "provenance": {
+    "git_commit": "412314e3ed7bca666a41876980b479456f5e733d",
+    "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": 45000,
+    "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": 0.0,
+    "evaluation_wall_s": 0.36821722984313965,
+    "mirror_warmup_wall_s": 0.0,
+    "predictor_warmup_wall_s": 0.49567413330078125,
+    "timing_excludes_data_loading_hashing_and_model_construction": true,
+    "total_timed_wall_s": 671.1911971569061,
+    "train_wall_s": 669.7800099849701
+  },
+  "traffic_calibration": {
+    "data_source": "first unaugmented development-training examples",
+    "examples": 64,
+    "instruction_rms": [
+      0.008471464738249779,
+      0.006617916747927666,
+      0.003988116513937712,
+      0.0043865954503417015,
+      0.002713605063036084,
+      0.003158062230795622,
+      0.002004207344725728,
+      0.003757704282179475,
+      0.0027085731271654367,
+      0.0030200635083019733,
+      0.002056022873148322,
+      0.0023899395018815994,
+      0.0016842411132529378,
+      0.0034010226372629404,
+      0.002549725119024515,
+      0.0030542907770723104,
+      0.0020918569061905146,
+      0.002605808200314641,
+      0.0018916188273578882
+    ],
+    "realized_traffic_instruction_rms_ratio": [
+      4.0,
+      4.0,
+      4.0,
+      4.0,
+      4.0,
+      4.0,
+      3.999999523162842,
+      4.0,
+      4.000000476837158,
+      3.999999761581421,
+      4.0,
+      4.0,
+      3.999999761581421,
+      4.0,
+      4.000000476837158,
+      4.000000476837158,
+      4.0,
+      4.0,
+      4.0
+    ],
+    "target_ratio": 4.0,
+    "traffic_gain": [
+      0.0443243607878685,
+      0.035817068070173264,
+      0.013778294436633587,
+      0.022762222215533257,
+      0.007214079145342112,
+      0.017218582332134247,
+      0.004616298712790012,
+      0.02042512409389019,
+      0.007327491417527199,
+      0.01611751690506935,
+      0.004703814629465342,
+      0.012562948279082775,
+      0.003324519144371152,
+      0.01805141195654869,
+      0.006063441745936871,
+      0.016296451911330223,
+      0.0044285994954407215,
+      0.013874167576432228,
+      0.0036007820162922144
+    ],
+    "unscaled_traffic_rms": [
+      0.7644973993301392,
+      0.7390796542167664,
+      1.157796859741211,
+      0.7708553671836853,
+      1.504616141319275,
+      0.7336404919624329,
+      1.736635684967041,
+      0.7358984351158142,
+      1.478581428527832,
+      0.7495108246803284,
+      1.7483876943588257,
+      0.7609485983848572,
+      2.0264477729797363,
+      0.7536302804946899,
+      1.6820316314697266,
+      0.7496824264526367,
+      1.8894071578979492,
+      0.7512690424919128,
+      2.10134220123291
+    ],
+    "uses_validation_endpoint": false
+  },
+  "work": {
+    "apical_macs_per_example": 40108672,
+    "causal_scalar_observations": 0,
+    "components": {
+      "apical_projection_macs": 36100371755008,
+      "apical_regression_macs": 0,
+      "bp_reverse_macs_estimate": 0,
+      "kp_reciprocal_correlation_macs": 36097804800000,
+      "local_weight_correlation_macs": 36495936000000,
+      "mirror_feedback_prediction_macs": 0,
+      "mirror_local_correlation_macs": 0,
+      "mirror_response_macs": 0,
+      "ordinary_forward_macs": 36495936000000,
+      "perturbation_forward_macs": 0,
+      "warmup_clean_forward_macs": 109001195520
+    },
+    "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; mixed-traffic/predictor elementwise arithmetic is reported as a conservative operation estimate separately and is not folded into MACs",
+    "elementwise_operations_estimate": 2131789873152,
+    "forward_macs_per_example": 40551040,
+    "logical_batch_loss_queries": 0,
+    "mirror_probe_examples": 0,
+    "mirror_readout_probe_examples": 0,
+    "per_example_cross_entropy_terms": 0,
+    "total_clean_forward_examples": 902688,
+    "total_forward_equivalent_examples": 902688,
+    "total_macs_estimate": 145299049750528
+  }
+}