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| author | skal <pascal.massimino@gmail.com> | 2026-03-21 08:38:29 +0100 |
|---|---|---|
| committer | skal <pascal.massimino@gmail.com> | 2026-03-21 08:38:29 +0100 |
| commit | a4ff60233fce134e8f779ef001872dfd9a8f9923 (patch) | |
| tree | 3a5466273ecb42269b4d6443c893c61b84ee7d93 /cnn_v2/shaders | |
| parent | 4d055080d2ab4b674d5f0fd611ea051e87454a31 (diff) | |
feat(cnn_v3): Phase 3 complete — WGSL U-Net inference shaders
5 compute shaders + cnn_v3/common snippet:
enc0: Conv(20→4,3×3) + FiLM + ReLU full-res
enc1: AvgPool + Conv(4→8,3×3) + FiLM + ReLU half-res
bottleneck: AvgPool + Conv(8→8,1×1) + ReLU quarter-res
dec1: NearestUp + cat(enc1) + Conv(16→4) + FiLM half-res
dec0: NearestUp + cat(enc0) + Conv(8→4) + FiLM + Sigmoid full-res
Parity rules: zero-pad conv, AvgPool down, NearestUp, FiLM after
conv+bias, skip=concat, OIHW weights+bias layout. Matches PyTorch
train_cnn_v3.py forward() exactly.
Registered in workspaces/main/assets.txt + src/effects/shaders.cc.
Weight layout + Params struct documented in cnn_v3/docs/HOWTO.md §7.
Next: Phase 4 — C++ CNNv3Effect + FiLM uniform upload.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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