CNN v2: parametric static features - Phases 1-4

Infrastructure for enhanced CNN post-processing with 7D feature input.

Phase 1: Shaders
- Static features compute (RGBD + UV + sin10_x + bias → 8×f16)
- Layer template (convolution skeleton, packing/unpacking)
- 3 mip level support for multi-scale features

Phase 2: C++ Effect
- CNNv2Effect class (multi-pass architecture)
- Texture management (static features, layer buffers)
- Build integration (CMakeLists, assets, tests)

Phase 3: Training Pipeline
- train_cnn_v2.py: PyTorch model with static feature concatenation
- export_cnn_v2_shader.py: f32→f16 quantization, WGSL generation
- Configurable architecture (kernels, channels)

Phase 4: Validation
- validate_cnn_v2.sh: End-to-end pipeline
- Checkpoint → shaders → build → test images

Tests: 36/36 passing

Next: Complete render pipeline implementation (bind groups, multi-pass)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

1 files changed, 2 insertions, 0 deletions

diff --git a/workspaces/main/assets.txt b/workspaces/main/assets.txt
index 750bf15..280d6ed 100644
--- a/workspaces/main/assets.txt
+++ b/workspaces/main/assets.txt
@@ -43,6 +43,8 @@ SHADER_CNN_CONV5X5, NONE, shaders/cnn/cnn_conv5x5.wgsl, "CNN 5x5 Convolution"
 SHADER_CNN_CONV7X7, NONE, shaders/cnn/cnn_conv7x7.wgsl, "CNN 7x7 Convolution"
 SHADER_CNN_WEIGHTS, NONE, shaders/cnn/cnn_weights_generated.wgsl, "CNN Weights (Generated)"
 SHADER_CNN_LAYER, NONE, shaders/cnn/cnn_layer.wgsl, "CNN Layer Shader"
+SHADER_CNN_V2_STATIC, NONE, shaders/cnn_v2_static.wgsl, "CNN v2 Static Features"
+SHADER_CNN_V2_LAYER_TEMPLATE, NONE, shaders/cnn_v2_layer_template.wgsl, "CNN v2 Layer Template"
 SHADER_SOLARIZE, NONE, shaders/solarize.wgsl, "Solarize Shader"
 SHADER_DISTORT, NONE, shaders/distort.wgsl, "Distort Shader"
 SHADER_CHROMA_ABERRATION, NONE, shaders/chroma_aberration.wgsl, "Chroma Aberration Shader"