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<title>demo.git/training/input, branch main</title>
<subtitle>Vide-coded 64k demo system</subtitle>
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<updated>2026-02-10T09:27:44Z</updated>
<entry>
<title>feat: Add coordinate-aware CNN layer 0 for position-dependent stylization</title>
<updated>2026-02-10T09:27:44Z</updated>
<author>
<name>skal</name>
<email>pascal.massimino@gmail.com</email>
</author>
<published>2026-02-10T09:27:44Z</published>
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<content type='text'>
- Implement CoordConv2d custom layer accepting (x,y) patch center
- Split layer 0 weights: rgba_weights (9x mat4x4) + coord_weights (mat2x4)
- Add *_with_coord() functions to 3x3/5x5/7x7 convolution shaders
- Update training script to generate coordinate grid and export split weights
- Regenerate placeholder weights with new format

Size impact: +32B coord weights + ~100B shader code = +132B total
All 36 tests passing (100%)

handoff(Claude): CNN coordinate awareness implemented, ready for training

Co-Authored-By: Claude Sonnet 4.5 &lt;noreply@anthropic.com&gt;
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