1 files changed, 46 insertions, 0 deletions
diff --git a/workspaces/main/shaders/cnn/cnn_layer.wgsl b/workspaces/main/shaders/cnn/cnn_layer.wgsl
new file mode 100644
index 0000000..e026ce8
--- /dev/null
+++ b/workspaces/main/shaders/cnn/cnn_layer.wgsl
@@ -0,0 +1,46 @@
+// CNN layer shader - uses modular convolution snippets
+// Supports multi-pass rendering with residual connections
+
+@group(0) @binding(0) var smplr: sampler;
+@group(0) @binding(1) var txt: texture_2d<f32>;
+
+#include "common_uniforms"
+#include "cnn_activation"
+#include "cnn_conv3x3"
+#include "cnn_weights_generated"
+
+struct CNNLayerParams {
+    layer_index: i32,
+    use_residual: i32,
+    _pad: vec2<f32>,
+};
+
+@group(0) @binding(2) var<uniform> uniforms: CommonUniforms;
+@group(0) @binding(3) var<uniform> params: CNNLayerParams;
+
+@vertex fn vs_main(@builtin(vertex_index) i: u32) -> @builtin(position) vec4<f32> {
+    var pos = array<vec2<f32>, 3>(
+        vec2<f32>(-1.0, -1.0), vec2<f32>(3.0, -1.0), vec2<f32>(-1.0, 3.0)
+    );
+    return vec4<f32>(pos[i], 0.0, 1.0);
+}
+
+@fragment fn fs_main(@builtin(position) p: vec4<f32>) -> @location(0) vec4<f32> {
+    let uv = p.xy / uniforms.resolution;
+    var result = vec4<f32>(0.0);
+
+    // Single layer for now (layer 0)
+    if (params.layer_index == 0) {
+        result = cnn_conv3x3(txt, smplr, uv, uniforms.resolution,
+                            weights_layer0, bias_layer0);
+        result = cnn_tanh(result);
+    }
+
+    // Residual connection
+    if (params.use_residual != 0) {
+        let input = textureSample(txt, smplr, uv);
+        result = input + result * 0.3;
+    }
+
+    return result;
+}