Research-Stack/5-Applications/scripts/snn
2026-05-04 18:11:36 -05:00
..
apply_snn_calibration_fixes.py initial: sovereign research stack (consolidated, weightless, and lfs-optimized) 2026-05-04 18:11:36 -05:00
generate_snn_vectors.py initial: sovereign research stack (consolidated, weightless, and lfs-optimized) 2026-05-04 18:11:36 -05:00
README.md initial: sovereign research stack (consolidated, weightless, and lfs-optimized) 2026-05-04 18:11:36 -05:00
snn_nii_reference.py initial: sovereign research stack (consolidated, weightless, and lfs-optimized) 2026-05-04 18:11:36 -05:00

SNN / NII / RGFlow / FAMM Test Harness

Imported 2026-04-24 from external triage pack. Calibration fixes applied on import — see "Calibration deltas" below.

Layout

  • snn_nii_reference.py — deterministic Python reference. Pipeline: predict → nii_step (clamp + bounded Δw + decay) → msnn_step (LIF + FAMM-modulated drive) → rgflow_step (3-verdict) → famm_update (saturating + exp decay). Writes per-record JSONL with SHA-tagged hash for golden-vector compare.
  • generate_snn_vectors.py — 4-phase synthetic stream (stable / drift / repeated bad / near-miss osc) OR pulls from a uc_records.jsonl topology18 stream.
  • snn_test_config.json — Q8 fixed-point + thresholds.
  • RTL siblings live at 4-Infrastructure/hardware/tangnano9k/rtl/ and must bit-match this Python reference.

Quick start

python generate_snn_vectors.py --out vectors.jsonl --n 256
python snn_nii_reference.py --vectors vectors.jsonl --config snn_test_config.json --out results.jsonl --summary summary.json

The reference prints a pass/fail JSON to stdout. All four flags must be true for the run to count: bounded_nii, all_verdicts_present, famm_unsaturated, and any custom hardware-equivalence check.

Calibration deltas (vs upstream pack)

The upstream harness produced a misleading pass_fail: famm_updated: True when FAMM was actually pegged at 255 across all three counters from i≈40 onward — half the run was testing a dead controller. Fixes applied on import:

  1. Exponential FAMM decay (decay_q8 = 232 ≈ 9.4%/step). Replaces the upstream linear -1/step on lawful-only. Time constant ~10 steps, so phase 2's 64 consecutive heavy rejects can saturate momentarily but recover before phase 3.
  2. Reduced reject contribution (rp/8 and rp/16 instead of rp/4 and rp/8). Even with decay, the upstream scaling drove phase 2 to saturation in ~5 events.
  3. Widened near-miss band (32 → 48). Upstream produced 0/256 near-miss events.
  4. Saturation surfaces as failure (famm_unsaturated, famm_saturation_steps, final_famm now in pass/fail JSON). Failure contract: silent saturation is unacceptable, must be observable.

Verified end-to-end after fixes: 189 lawful / 1 near-miss / 66 reject, no counter saturated >25% of the run, max abs surprise 359 ≤ NII clip 384.

Known follow-ups

  • Synthetic generator phase 3 produces only 1 near-miss event in 64 steps — the σ corridor [262, 293] is too narrow for the current amplitude swings. Either re-tune phase 3 amplitudes or add a fifth phase explicitly designed for the near-miss band.
  • RTL nii_core.v uses a one-tap obs - prev_obs predictor; the Python reference uses 4 weighted delay taps. They will not bit-match until the RTL is upgraded.