p-j-r-1-2-3 commited on
Commit
a2cc7c5
·
verified ·
1 Parent(s): 33bdee3

add run reset_soft

Browse files
applied/opt09_srif_softreset/reset_soft.summary.json ADDED
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+ {
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+ "key": "opt09_srif_softreset/reset_soft",
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+ "tag": "reset_soft",
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+ "script": "opt09_srif_softreset.py",
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+ "script_sha256_16": "dd62e980e1fe3fd1",
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+ "hf_folder": "applied/opt09_srif_softreset",
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+ "priority": 1,
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+ "note": "fixed subtractive soft reset",
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+ "phase": 5,
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+ "n_phases": 10,
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+ "method": "harmonic_matched",
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+ "command": [
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+ "/usr/bin/python3",
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+ "-m",
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+ "torch.distributed.run",
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+ "--standalone",
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+ "--nproc_per_node=2",
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+ "/kaggle/working/scripts/opt09_srif_softreset.py",
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+ "--method",
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+ "harmonic_matched",
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+ "--data-root",
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+ "/kaggle/working/data",
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+ "--epochs",
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+ "60",
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+ "--seed",
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+ "1234",
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+ "--batch-size",
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+ "64",
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+ "--event-eval",
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+ "--no-resume",
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+ "--decision-margin",
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+ "2.0",
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+ "--hub-dir",
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+ "/kaggle/working/hub/opt09_srif_softreset/reset_soft",
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+ "--keep-epoch-weights",
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+ "1",
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+ "--resplit",
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+ "block",
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+ "--drop-rest",
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+ "--bench",
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+ "--reset-mode",
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+ "soft"
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+ ],
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+ "flags": [
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+ "--reset-mode",
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+ "soft"
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+ ],
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+ "epochs_requested": 60,
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+ "gpus": 2,
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+ "relative_epoch_cost": 1.0,
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+ "exit_code": 0,
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+ "status": "ok",
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+ "duration_s": 359.0,
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+ "started_utc": "2026-08-23T04:18:36.615953+00:00",
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+ "finished_utc": "2026-08-23T04:24:35.616434+00:00",
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+ "optimization_summary": {
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+ "optimization": "srif_softreset",
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+ "research_section": "4. Membrane-Potential Memory Wall -- Soft Reset Integrate-and-Fire (SRIF), dynamic reset potential",
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+ "reference": "Guo et al., 'Reducing Information Loss for Spiking Neural Networks' (SRIF), ECCV 2022; research.md S4 (stacks with MINT / SpQuant-SNN membrane quantization)",
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+ "script": "opt09_srif_softreset.py",
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+ "baseline_mode": false,
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+ "method": "harmonic_matched",
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+ "accuracy": {
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+ "test_acc": 0.9,
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+ "test_target_acc": 0.9,
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+ "best_val_acc": 0.9007142857142857
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+ },
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+ "efficiency": {
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+ "spikes_per_inference": 7061.50390625,
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+ "syn_ops_per_inference": 3783191.9512987016,
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+ "dense_macs_per_inference": 122675200.0,
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+ "event_fraction_of_dense": 0.030839093405176446,
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+ "syn_ops_per_inference_dense_fanout": 65359809.73782468,
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+ "weight_sparsity": 0.7324707846410685,
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+ "effective_ticks": 12.35,
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+ "num_ticks": 100,
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+ "membrane_bytes_per_inference": 451200,
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+ "weight_bytes": 4907008,
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+ "input_raster_bytes": null,
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+ "train_ms_per_step": 101.67684595003266,
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+ "infer_ms_per_sample": 0.6660571796874137,
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+ "peak_vram_mb": 2828.717056,
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+ "discarded_charge_per_reset": 0.0
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+ },
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+ "optimization_specific": {
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+ "reset_mode": "soft",
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+ "learn_reset": false,
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+ "lam_init": 0.9,
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+ "v_reset_init": 0.0,
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+ "u_bits": 0,
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+ "u_scale": 1.0,
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+ "u_headroom_requested": 2.0,
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+ "u_headroom_actual": 0.0,
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+ "u_threshold_level": 0,
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+ "u_levels_above_threshold": null,
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+ "reset_family": {
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+ "reset_mode": "soft",
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+ "learn_reset": false,
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+ "num_spiking_sites": 4,
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+ "extra_params": 0,
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+ "extra_params_frac_of_weights": 0.0,
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+ "extra_flops_per_tick_per_neuron": 0,
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+ "learned_lam_per_layer": [
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+ 1.0,
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+ 1.0,
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+ 1.0,
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+ 1.0
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+ ],
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+ "learned_v_reset_per_layer": [
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+ 0.0,
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+ 0.0,
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+ 0.0,
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+ 0.0
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+ ]
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+ },
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+ "reset_stats": {
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+ "learn_reset": false,
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+ "spikes_per_inference": 7061.50390625,
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+ "syn_per_inference": 3876494.84375,
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+ "lam_per_site": [
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+ 1.0,
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+ 1.0,
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+ 1.0,
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+ 1.0
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+ ],
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+ "v_reset_per_site": [
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+ 0.0,
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+ 0.0,
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+ 0.0,
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+ 0.0
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+ ],
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+ "u_bits": 0,
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+ "membrane_saturation_frac": null,
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+ "batches": 4,
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+ "grid_headroom": 0.0,
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+ "grid_levels_above_thresh": null
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+ },
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+ "reset_x_bits_sweep": {
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+ "rows": [
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+ {
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+ "reset_mode": "hard",
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+ "u_bits": 0,
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+ "acc": 0.9128571428571428,
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+ "membrane_saturation_frac": null,
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+ "membrane_memory_reduction_x": 1.0,
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+ "acc_drop_vs_fp32": 0.0
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+ },
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+ {
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+ "reset_mode": "hard",
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+ "target_acc": 0.9207142857142857,
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+ "grid_headroom": 1.75,
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+ "discarded_charge_per_reset": 0.10935388205594965,
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+ "spikes_per_inference": 6869.609375,
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+ "membrane_saturation_frac": 0.26135215813386525,
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+ "membrane_memory_reduction_x": 8.0,
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+ "acc_drop_vs_fp32": -0.007857142857142896
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+ },
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+ {
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+ "reset_mode": "hard",
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+ "u_bits": 2,
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+ "membrane_saturation_frac": 0.3808665087544326,
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+ "membrane_memory_reduction_x": 16.0,
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+ "acc_drop_vs_fp32": 0.10142857142857142
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+ },
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+ {
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+ "reset_mode": "soft",
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+ "u_bits": 0,
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+ "acc_drop_vs_fp32": 0.0
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+ },
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+ {
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+ "reset_mode": "soft",
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+ "u_bits": 4,
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+ "acc": 0.9221428571428572,
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+ "target_acc": 0.9221428571428572,
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+ "grid_headroom": 1.75,
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+ "membrane_saturation_frac": 0.2994438441932624,
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+ "membrane_memory_reduction_x": 8.0,
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+ "acc_drop_vs_fp32": -0.02214285714285713
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+ },
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+ {
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+ "reset_mode": "soft",
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+ "u_bits": 2,
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+ "acc": 0.8114285714285714,
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+ "target_acc": 0.8114285714285714,
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+ "grid_headroom": 1.0,
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+ "discarded_charge_per_reset": 0.0,
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+ "membrane_memory_reduction_x": 16.0,
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+ "acc_drop_vs_fp32": 0.08857142857142863
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+ {
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+ "reset_mode": "trained",
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+ "u_bits": 0,
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+ "acc": 0.9,
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+ "target_acc": 0.9,
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+ "grid_headroom": 0.0,
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+ "grid_levels_above_thresh": null,
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+ "discarded_charge_per_reset": 0.0,
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+ "spikes_per_inference": 7075.0078125,
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+ "membrane_saturation_frac": null,
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+ "membrane_memory_reduction_x": 1.0,
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+ "acc_drop_vs_fp32": 0.0
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+ },
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+ {
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+ "reset_mode": "trained",
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+ "u_bits": 4,
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+ "acc": 0.9221428571428572,
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+ "target_acc": 0.9221428571428572,
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+ "grid_headroom": 1.75,
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+ "grid_levels_above_thresh": 3,
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+ "discarded_charge_per_reset": 0.0,
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+ "spikes_per_inference": 7529.5,
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+ "membrane_saturation_frac": 0.2994437056737589,
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+ "membrane_memory_reduction_x": 8.0,
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+ "acc_drop_vs_fp32": -0.02214285714285713
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+ },
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+ {
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+ "reset_mode": "trained",
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+ "u_bits": 2,
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+ "acc": 0.8114285714285714,
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+ "target_acc": 0.8114285714285714,
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+ "grid_headroom": 1.0,
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+ }
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+ ],
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+ "by_mode": {
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+ "hard": {
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+ "fp32_acc": 0.9128571428571428,
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+ "acc_by_bits": {
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+ "0": 0.9128571428571428,
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+ "4": 0.9207142857142857,
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+ "2": 0.8114285714285714
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+ }
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+ },
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+ "soft": {
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+ "fp32_acc": 0.9,
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+ "acc_by_bits": {
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+ "0": 0.9,
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+ "4": 0.9221428571428572,
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+ "2": 0.8114285714285714
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+ }
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+ },
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+ "trained": {
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+ "fp32_acc": 0.9,
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+ "acc_by_bits": {
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+ "2": 0.8114285714285714
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+ }
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+ }
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+ }
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+ },
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+ "mechanism": "V = u - s*((1-lam)*u + lam*thresh) + s*v_r; lam=0,v_r=0 is the baseline hard reset exactly, lam=1,v_r=0 discards zero charge",
288
+ "cost": "2 scalars per spiking layer; identical FMA count per tick, so the reset change is free at inference time",
289
+ "caveat": "the sweep swaps the reset on ALREADY-TRAINED weights, which under-states what training with each reset would give; and a charge-conserving reset can raise the spike count, so read spikes_per_inference next to the accuracy"
290
+ },
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+ "config": {
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+ "method": "harmonic_matched",
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+ "data_root": "/kaggle/working/data",
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+ "subjects": "",
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+ "blocks": "",
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+ "limit": 0,
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+ "drop_rest": true,
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+ "hidden": "512,256",
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+ "freq_groups": 8,
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+ "label_smoothing": 0.05,
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+ "hub_dir": "/kaggle/working/hub/opt09_srif_softreset/reset_soft",
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+ "repo_id": "UWU-R-13/SSVEP-SNN",
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+ "push_hf": false,
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+ "learn_reset": true,
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+ "reset_sweep": "hard,soft,trained",
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+ "bits_sweep": "0,4,2",
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+ },
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+ "final_summary": {
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