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| author | skal <pascal.massimino@gmail.com> | 2026-03-21 08:38:29 +0100 |
|---|---|---|
| committer | skal <pascal.massimino@gmail.com> | 2026-03-21 08:38:29 +0100 |
| commit | a4ff60233fce134e8f779ef001872dfd9a8f9923 (patch) | |
| tree | 3a5466273ecb42269b4d6443c893c61b84ee7d93 /cnn_v3/shaders/cnn_v3_common.wgsl | |
| parent | 4d055080d2ab4b674d5f0fd611ea051e87454a31 (diff) | |
feat(cnn_v3): Phase 3 complete — WGSL U-Net inference shaders
5 compute shaders + cnn_v3/common snippet:
enc0: Conv(20→4,3×3) + FiLM + ReLU full-res
enc1: AvgPool + Conv(4→8,3×3) + FiLM + ReLU half-res
bottleneck: AvgPool + Conv(8→8,1×1) + ReLU quarter-res
dec1: NearestUp + cat(enc1) + Conv(16→4) + FiLM half-res
dec0: NearestUp + cat(enc0) + Conv(8→4) + FiLM + Sigmoid full-res
Parity rules: zero-pad conv, AvgPool down, NearestUp, FiLM after
conv+bias, skip=concat, OIHW weights+bias layout. Matches PyTorch
train_cnn_v3.py forward() exactly.
Registered in workspaces/main/assets.txt + src/effects/shaders.cc.
Weight layout + Params struct documented in cnn_v3/docs/HOWTO.md §7.
Next: Phase 4 — C++ CNNv3Effect + FiLM uniform upload.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Diffstat (limited to 'cnn_v3/shaders/cnn_v3_common.wgsl')
| -rw-r--r-- | cnn_v3/shaders/cnn_v3_common.wgsl | 23 |
1 files changed, 23 insertions, 0 deletions
diff --git a/cnn_v3/shaders/cnn_v3_common.wgsl b/cnn_v3/shaders/cnn_v3_common.wgsl new file mode 100644 index 0000000..54b0f3d --- /dev/null +++ b/cnn_v3/shaders/cnn_v3_common.wgsl @@ -0,0 +1,23 @@ +// CNN v3 shared helpers — included by all inference compute shaders. +// Requires the host shader to declare: +// @group(?) @binding(?) var<storage, read> weights: array<u32>; + +// Read one f16 value from the packed-f16 weights buffer. +// `base` — weight_offset from Params (f16 index of the layer start) +// `idx` — local f16 index within the layer (conv weight or bias) +fn get_w(base: u32, idx: u32) -> f32 { + let i = base + idx; + let v = unpack2x16float(weights[i >> 1u]); + return select(v.y, v.x, (i & 1u) == 0u); +} + +// Unpack 8 f16 channels from an rgba32uint texel (pack2x16float layout: +// u32[0]=ch0|ch1, u32[1]=ch2|ch3, u32[2]=ch4|ch5, u32[3]=ch6|ch7) +fn unpack_8ch(tex: texture_2d<u32>, coord: vec2i) -> array<f32, 8> { + let t = textureLoad(tex, coord, 0); + let v0 = unpack2x16float(t.x); + let v1 = unpack2x16float(t.y); + let v2 = unpack2x16float(t.z); + let v3 = unpack2x16float(t.w); + return array<f32, 8>(v0.x, v0.y, v1.x, v1.y, v2.x, v2.y, v3.x, v3.y); +} |
