add run calib_batches_32
Browse files
applied/opt03_ftbc_threshold_balance/calib_batches_32.summary.json
ADDED
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| 1 |
+
{
|
| 2 |
+
"key": "opt03_ftbc_threshold_balance/calib_batches_32",
|
| 3 |
+
"tag": "calib_batches_32",
|
| 4 |
+
"script": "opt03_ftbc_threshold_balance.py",
|
| 5 |
+
"script_sha256_16": "b61e2bfeb6416b99",
|
| 6 |
+
"hf_folder": "applied/opt03_ftbc_threshold_balance",
|
| 7 |
+
"priority": 2,
|
| 8 |
+
"note": "",
|
| 9 |
+
"phase": 7,
|
| 10 |
+
"n_phases": 10,
|
| 11 |
+
"method": "harmonic_matched",
|
| 12 |
+
"command": [
|
| 13 |
+
"/usr/bin/python3",
|
| 14 |
+
"-m",
|
| 15 |
+
"torch.distributed.run",
|
| 16 |
+
"--standalone",
|
| 17 |
+
"--nproc_per_node=2",
|
| 18 |
+
"/kaggle/working/scripts/opt03_ftbc_threshold_balance.py",
|
| 19 |
+
"--method",
|
| 20 |
+
"harmonic_matched",
|
| 21 |
+
"--data-root",
|
| 22 |
+
"/kaggle/working/data",
|
| 23 |
+
"--epochs",
|
| 24 |
+
"60",
|
| 25 |
+
"--seed",
|
| 26 |
+
"1234",
|
| 27 |
+
"--batch-size",
|
| 28 |
+
"64",
|
| 29 |
+
"--event-eval",
|
| 30 |
+
"--no-resume",
|
| 31 |
+
"--decision-margin",
|
| 32 |
+
"2.0",
|
| 33 |
+
"--hub-dir",
|
| 34 |
+
"/kaggle/working/hub/opt03_ftbc_threshold_balance/calib_batches_32",
|
| 35 |
+
"--keep-epoch-weights",
|
| 36 |
+
"1",
|
| 37 |
+
"--resplit",
|
| 38 |
+
"block",
|
| 39 |
+
"--drop-rest",
|
| 40 |
+
"--bench",
|
| 41 |
+
"--calib-batches",
|
| 42 |
+
"32"
|
| 43 |
+
],
|
| 44 |
+
"flags": [
|
| 45 |
+
"--calib-batches",
|
| 46 |
+
"32"
|
| 47 |
+
],
|
| 48 |
+
"epochs_requested": 60,
|
| 49 |
+
"gpus": 2,
|
| 50 |
+
"relative_epoch_cost": 1.0,
|
| 51 |
+
"exit_code": 0,
|
| 52 |
+
"status": "ok",
|
| 53 |
+
"duration_s": 399.1,
|
| 54 |
+
"started_utc": "2026-08-23T04:50:56.871066+00:00",
|
| 55 |
+
"finished_utc": "2026-08-23T04:57:36.019360+00:00",
|
| 56 |
+
"optimization_summary": {
|
| 57 |
+
"optimization": "ftbc_threshold_balance",
|
| 58 |
+
"research_section": "2. Temporal-Dimension Reduction (threshold balancing + FTBC)",
|
| 59 |
+
"reference": "Rueckauer et al. arXiv:1612.04052; Sengupta et al. arXiv:1802.02627; FTBC: Forward Temporal Bias Correction, ECCV 2024",
|
| 60 |
+
"script": "opt03_ftbc_threshold_balance.py",
|
| 61 |
+
"baseline_mode": false,
|
| 62 |
+
"method": "harmonic_matched",
|
| 63 |
+
"accuracy": {
|
| 64 |
+
"test_acc": 0.9378571428571428,
|
| 65 |
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"test_target_acc": 0.9378571428571428,
|
| 66 |
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"best_val_acc": 0.9478571428571428
|
| 67 |
+
},
|
| 68 |
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"efficiency": {
|
| 69 |
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"spikes_per_inference": null,
|
| 70 |
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"syn_ops_per_inference": 3261141.8693181816,
|
| 71 |
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"dense_macs_per_inference": 122675200.0,
|
| 72 |
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"event_fraction_of_dense": 0.026583546383606316,
|
| 73 |
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"syn_ops_per_inference_dense_fanout": 64837759.65584416,
|
| 74 |
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"weight_sparsity": 0.7324707846410685,
|
| 75 |
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"effective_ticks": 12.063571428571429,
|
| 76 |
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"num_ticks": 100,
|
| 77 |
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"membrane_bytes_per_inference": 451200,
|
| 78 |
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"weight_bytes": 4907008,
|
| 79 |
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"input_raster_bytes": null,
|
| 80 |
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"train_ms_per_step": 96.95494634997885,
|
| 81 |
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"infer_ms_per_sample": 0.6346498156250391,
|
| 82 |
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"peak_vram_mb": 2824.29952
|
| 83 |
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},
|
| 84 |
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"optimization_specific": {
|
| 85 |
+
"calibrate_thresh": true,
|
| 86 |
+
"ftbc": true,
|
| 87 |
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"calib_percentile": 99.9,
|
| 88 |
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"calib_batches": 32,
|
| 89 |
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"ftbc_target_ticks": 8,
|
| 90 |
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"ftbc_ref_ticks": 100,
|
| 91 |
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"trained_T": 100,
|
| 92 |
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"thresh_before": [
|
| 93 |
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1.0,
|
| 94 |
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| 95 |
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|
| 96 |
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1.0
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| 97 |
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],
|
| 98 |
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"thresh_after": [
|
| 99 |
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|
| 100 |
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|
| 101 |
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|
| 102 |
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|
| 103 |
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],
|
| 104 |
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"min_ticks_within_1pct_of_full": null,
|
| 105 |
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"min_ticks_within_1pct_per_arm": {
|
| 106 |
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"raw": 100,
|
| 107 |
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"thresh": 50,
|
| 108 |
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"ftbc": 100,
|
| 109 |
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"both": null
|
| 110 |
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},
|
| 111 |
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"speedup_at_min_ticks": null,
|
| 112 |
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"full_T_acc": 0.9442857142857143,
|
| 113 |
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"t_sweep_rows": [
|
| 114 |
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{
|
| 115 |
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"T": 4,
|
| 116 |
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"arm": "raw",
|
| 117 |
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"acc": 0.27,
|
| 118 |
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|
| 119 |
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|
| 120 |
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"event_fraction_of_dense": 0.37897221532349856
|
| 121 |
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},
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| 122 |
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{
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| 123 |
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| 124 |
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| 125 |
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| 126 |
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| 127 |
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| 128 |
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| 129 |
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| 130 |
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| 131 |
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| 132 |
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| 133 |
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