From 673a24215b2670007317060325256059d1448f3b Mon Sep 17 00:00:00 2001 From: skal Date: Sat, 21 Mar 2026 09:51:58 +0100 Subject: feat(cnn_v3): Phase 5 complete — parity validation passing (36/36 tests) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Add test_cnn_v3_parity.cc: zero_weights + random_weights tests - Add gen_test_vectors.py: PyTorch reference implementation for enc0/enc1/bn/dec1/dec0 - Add test_vectors.h: generated C header with enc0, dec1, output expected values - Fix declare_nodes(): intermediate textures at fractional resolutions (W/2, W/4) using new NodeRegistry::default_width()/default_height() getters - Add layer-by-layer readback (enc0, dec1) for regression coverage - Final parity: enc0 max_err=1.95e-3, dec1 max_err=1.95e-3, out max_err=4.88e-4 handoff(Claude): CNN v3 parity done. Next: train_cnn_v3.py (FiLM MLP training). --- TODO.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) (limited to 'TODO.md') diff --git a/TODO.md b/TODO.md index 11c629e..559f8b3 100644 --- a/TODO.md +++ b/TODO.md @@ -76,7 +76,8 @@ PyTorch / HTML WebGPU / C++ WebGPU. - Params alignment fix: WGSL `vec3u` align=16 → C++ structs 64/96 bytes - Weight offsets as explicit formulas (e.g. `20*4*9+4`) - FiLM γ/β: identity defaults; real values require trained MLP (see below) -5. Parity validation (test vectors, ≤1/255 per pixel) +5. ✅ Parity validation: test vectors + `test_cnn_v3_parity.cc`. max_err=4.88e-4 (≤1/255). + - Key fix: intermediate nodes at fractional resolutions (W/2, W/4) via `NodeRegistry::default_width()/default_height()` **FiLM MLP training** (blocks meaningful Phase 4 output): - Needs `cnn_v3/training/train_cnn_v3.py` — not yet written -- cgit v1.2.3