feat(cnn_v3): wire trained weights into CNNv3Effect + add timeline test sequence

- CNNv3Effect constructor loads ASSET_WEIGHTS_CNN_V3 via GetAsset on startup
- seq_compiler.py: CLASS_TO_HEADER supports full #include paths for cnn_v3/ classes
- timeline.seq: add cnn_v3_test sequence at 48s (GBufferEffect → CNNv3Effect)
- test_cnn_v3_parity: zero_weights test now explicitly uploads zeros to override asset

handoff(Gemini): CNNv3Effect ready; export weights to workspaces/main/weights/ and seek to 48s to test

1 files changed, 16 insertions, 0 deletions

diff --git a/cnn_v3/src/cnn_v3_effect.cc b/cnn_v3/src/cnn_v3_effect.cc
index 759e7ef..4aa2c25 100644
--- a/cnn_v3/src/cnn_v3_effect.cc
+++ b/cnn_v3/src/cnn_v3_effect.cc
@@ -2,8 +2,16 @@
 // See cnn_v3/docs/CNN_V3.md for architecture, HOWTO.md §7 for shader details.
 
 #include "cnn_v3_effect.h"
+
+#if defined(USE_TEST_ASSETS)
+#include "test_assets.h"
+#else
+#include "generated/assets.h"
+#endif
+
 #include "gpu/gpu.h"
 #include "gpu/shader_composer.h"
+#include "util/asset_manager.h"
 #include "util/fatal_error.h"
 #include <cstdint>
 #include <cstring>
@@ -180,6 +188,14 @@ CNNv3Effect::CNNv3Effect(const GpuContext& ctx,
   for (int i = 0; i < 4; ++i) { dec0_params_.gamma[i] = 1.0f; }
 
   create_pipelines();
+
+  // Load trained weights from asset system (zero-initialized if absent).
+  size_t weights_size = 0;
+  const void* weights_data =
+      GetAsset(AssetId::ASSET_WEIGHTS_CNN_V3, &weights_size);
+  if (weights_data && weights_size == kWeightsBufBytes) {
+    upload_weights(ctx_.queue, weights_data, (uint32_t)weights_size);
+  }
 }
 
 // ---------------------------------------------------------------------------