From 96a349b9874c6cdaac525ba062a0f4f90c9bc3ed Mon Sep 17 00:00:00 2001 From: skal Date: Tue, 10 Feb 2026 10:27:44 +0100 Subject: feat: Add coordinate-aware CNN layer 0 for position-dependent stylization - 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 --- workspaces/main/shaders/cnn/cnn_layer.wgsl | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) (limited to 'workspaces/main/shaders/cnn/cnn_layer.wgsl') diff --git a/workspaces/main/shaders/cnn/cnn_layer.wgsl b/workspaces/main/shaders/cnn/cnn_layer.wgsl index e026ce8..b2bab26 100644 --- a/workspaces/main/shaders/cnn/cnn_layer.wgsl +++ b/workspaces/main/shaders/cnn/cnn_layer.wgsl @@ -29,10 +29,10 @@ struct CNNLayerParams { let uv = p.xy / uniforms.resolution; var result = vec4(0.0); - // Single layer for now (layer 0) + // Layer 0 uses coordinate-aware convolution if (params.layer_index == 0) { - result = cnn_conv3x3(txt, smplr, uv, uniforms.resolution, - weights_layer0, bias_layer0); + result = cnn_conv3x3_with_coord(txt, smplr, uv, uniforms.resolution, + rgba_weights_layer0, coord_weights_layer0, bias_layer0); result = cnn_tanh(result); } -- cgit v1.2.3