Final Completion — Image + Audio + Repo

Date: 2026-07-24
Prior: D1–D12 in docs/22_COMPLETION_REPORT.md
Modality: docs/28_IMAGE_AUDIO_COMPLETION.md

Verdict

COMPLETE for image + audio first-class lanes and prior D1–D12 (packaging/kernels preserved).

Done criteria

ID	Criterion	Status
I1	Image CLI + results + tutorial	PASS
I2	Image pytest smoke	PASS
A1	Audio CLI + synthetic fallback + results + tutorial	PASS
A2	Audio pytest smoke	PASS
C1	Full pytest green	PASS
C2	bnn eval-suite summarizes image+audio	PASS
C3	README image+audio quickstart	PASS
D1–D12	Prior completion gates	PASS (unchanged thesis)

Key paths

Path	Role
bnn/vision/	CIFAR Bi-Real + tiny ViT + ImageNet stub
bnn/audio/	Features, synthetic data, classifiers
scripts/train_image.py	Image train → results/image_cifar.*
scripts/train_audio.py	Audio train → results/audio_synth.*
bnn/cli.py	train-image, train-audio
bnn/wrapper.py	PackedBinaryConv2d, wrap_conv_modules
docs/tutorials/04_image_cifar.md	Image walkthrough
docs/tutorials/05_audio.md	Audio walkthrough

5-command verify

cd path\to\Binary-Neural-Networks
pytest tests\test_vision_smoke.py tests\test_audio_smoke.py -q
python scripts\train_audio.py --epochs 2 --n-train 128 --n-test 64
python scripts\train_image.py --epochs 1 --train-subset 512 --channels 32
bnn eval-suite --skip-pytest

Full quality image run (slower): bnn train-image --epochs 8 --subset 30000.

Thesis reminder

CPU/edge packed 1-bit Linear kernels are the speed story. Conv pack is size-first. GPU → INT4/FP8. Classic BNN ≠ production ASR.