diff options
| author | skal <pascal.massimino@gmail.com> | 2026-02-11 09:18:18 +0100 |
|---|---|---|
| committer | skal <pascal.massimino@gmail.com> | 2026-02-11 09:18:18 +0100 |
| commit | 66a489f64209925ec9615c9f6c4907e4e3caf9e2 (patch) | |
| tree | 0fedbe64fc593da1de68c4ff5ef5d6dc2dc5211b /workspaces/main/shaders/cnn/cnn_layer.wgsl | |
| parent | 3ad436306cdc7aa3c761a250acde2bd0962fd5c4 (diff) | |
format .wgsl layer code (cosmetics)
Diffstat (limited to 'workspaces/main/shaders/cnn/cnn_layer.wgsl')
| -rw-r--r-- | workspaces/main/shaders/cnn/cnn_layer.wgsl | 12 |
1 files changed, 4 insertions, 8 deletions
diff --git a/workspaces/main/shaders/cnn/cnn_layer.wgsl b/workspaces/main/shaders/cnn/cnn_layer.wgsl index d33a301..c5abddb 100644 --- a/workspaces/main/shaders/cnn/cnn_layer.wgsl +++ b/workspaces/main/shaders/cnn/cnn_layer.wgsl @@ -8,7 +8,6 @@ #include "common_uniforms" #include "cnn_activation" #include "cnn_conv3x3" -#include "cnn_conv5x5" #include "cnn_weights_generated" struct CNNLayerParams { @@ -29,7 +28,7 @@ struct CNNLayerParams { } @fragment fn fs_main(@builtin(position) p: vec4<f32>) -> @location(0) vec4<f32> { - // Match PyTorch linspace: pixel_idx / (size - 1), not pixel_center / size + // Match PyTorch linspace let uv = (p.xy - 0.5) / (uniforms.resolution - 1.0); let original_raw = textureSample(original_input, smplr, uv); let original = (original_raw - 0.5) * 2.0; // Normalize to [-1,1] @@ -38,18 +37,15 @@ struct CNNLayerParams { // Layer 0: 7→4 (RGBD output, normalizes [0,1] input) if (params.layer_index == 0) { - result = cnn_conv3x3_7to4_src(txt, smplr, uv, uniforms.resolution, - weights_layer0); + result = cnn_conv3x3_7to4_src(txt, smplr, uv, uniforms.resolution, weights_layer0); result = cnn_tanh(result); } else if (params.layer_index == 1) { - result = cnn_conv5x5_7to4(txt, smplr, uv, uniforms.resolution, - gray, weights_layer1); + result = cnn_conv3x3_7to4(txt, smplr, uv, uniforms.resolution, gray, weights_layer1); result = cnn_tanh(result); // Keep in [-1,1] } else if (params.layer_index == 2) { - let gray_out = cnn_conv3x3_7to1(txt, smplr, uv, uniforms.resolution, - gray, weights_layer2); + let gray_out = cnn_conv3x3_7to1(txt, smplr, uv, uniforms.resolution, gray, weights_layer2); // gray_out in [0,1] (clamped to match PyTorch training) result = vec4<f32>(gray_out, gray_out, gray_out, 1.0); return mix(original_raw, result, params.blend_amount); // [0,1] |
