From a10cabbe3a5ae05730c2e76493e42554ee6037ba Mon Sep 17 00:00:00 2001 From: skal Date: Fri, 20 Mar 2026 09:22:18 +0100 Subject: feat(cnn_v3): Phase 1 complete - GBufferEffect integrated + HOWTO playbook - Wire GBufferEffect into demo build: assets.txt, DemoSourceLists.cmake, demo_effects.h, shaders.h/cc. ShaderComposer::Compose() applied to gbuf_raster.wgsl (resolves #include "common_uniforms"). - Add GBufferEffect construction test. 35/35 passing. - Write cnn_v3/docs/HOWTO.md: G-buffer wiring, training data prep, training plan, per-pixel validation workflow, phase status table, troubleshooting guide. - Add project hooks: remind to update HOWTO.md on cnn_v3/ edits; warn on direct str_view(*_wgsl) usage bypassing ShaderComposer. - Update PROJECT_CONTEXT.md and TODO.md: Phase 1 done, Phase 3 (WGSL U-Net shaders) is next active. handoff(Gemini): CNN v3 Phase 3 is next - WGSL enc/dec/bottleneck/FiLM shaders in cnn_v3/shaders/. See cnn_v3/docs/CNN_V3.md Architecture section and cnn_v3/docs/HOWTO.md section 3 for spec. GBufferEffect outputs feat_tex0 + feat_tex1 (rgba32uint, 20ch, 32 bytes/pixel). C++ CNNv3Effect (Phase 4) takes those as input nodes. --- TODO.md | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) (limited to 'TODO.md') diff --git a/TODO.md b/TODO.md index e7371ca..1c405ef 100644 --- a/TODO.md +++ b/TODO.md @@ -69,10 +69,11 @@ PyTorch / HTML WebGPU / C++ WebGPU. **Design:** `cnn_v3/docs/CNN_V3.md` **Phases:** -1. ✅ G-buffer: `GBufferEffect` (MRT raster + pack compute). SDF/shadow passes TODO. - - New NodeTypes: `GBUF_ALBEDO`, `GBUF_DEPTH32`, `GBUF_R8`, `GBUF_RGBA32UINT` - - Shaders: `cnn_v3/shaders/gbuf_raster.wgsl`, `gbuf_pack.wgsl` - - CMake integration deferred +1. ✅ G-buffer: `GBufferEffect` integrated. Assets, CMake, demo_effects.h, test all wired. 35/35 tests pass. + - NodeTypes: `GBUF_ALBEDO`, `GBUF_DEPTH32`, `GBUF_R8`, `GBUF_RGBA32UINT` + - Shaders: `cnn_v3/shaders/gbuf_raster.wgsl` (ShaderComposer), `gbuf_pack.wgsl` + - SDF/shadow passes TODO (placeholder: shadow=1, transp=0) + - Howto: `cnn_v3/docs/HOWTO.md` 2. ✅ Training infrastructure: `blender_export.py`, `pack_blender_sample.py`, `pack_photo_sample.py` 3. WGSL shaders (enc/dec/bottleneck, FiLM, deterministic ops) 4. C++ CNNv3Effect + FiLM uniform upload -- cgit v1.2.3