Fix train_cnn_v2_full.sh for updated API

Changes:
- KERNEL_SIZES: Use comma-separated values (3,3,3 not 3 3 3)
- Remove --channels (no longer exists in uniform 12D→4D architecture)
- Add --num-layers parameter
- Use export_cnn_v2_weights.py (storage buffer) instead of export_cnn_v2_shader.py
- Fix duplicate export: only export in step 2 (training) or validation mode

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

1 files changed, 8 insertions, 8 deletions

diff --git a/scripts/train_cnn_v2_full.sh b/scripts/train_cnn_v2_full.sh
index db55a8b..5a4e55e 100755
--- a/scripts/train_cnn_v2_full.sh
+++ b/scripts/train_cnn_v2_full.sh
@@ -53,8 +53,8 @@ DETECTOR="harris"
 # FULL_IMAGE="--full-image"
 # IMAGE_SIZE=256
 
-KERNEL_SIZES="3 3 3"
-CHANNELS="8 4 4"
+KERNEL_SIZES="3,3,3"  # Comma-separated per-layer kernel sizes
+NUM_LAYERS=3
 
 if [ "$VALIDATE_ONLY" = true ]; then
     echo "=== CNN v2 Validation Only ==="
@@ -79,7 +79,7 @@ python3 training/train_cnn_v2.py \
   --patches-per-image $PATCHES_PER_IMAGE \
   --detector $DETECTOR \
   --kernel-sizes $KERNEL_SIZES \
-  --channels $CHANNELS \
+  --num-layers $NUM_LAYERS \
   --epochs $EPOCHS \
   --batch-size $BATCH_SIZE \
   --checkpoint-dir "$CHECKPOINT_DIR" \
@@ -103,10 +103,10 @@ if [ ! -f "$FINAL_CHECKPOINT" ]; then
     FINAL_CHECKPOINT=$(ls -t "$CHECKPOINT_DIR"/checkpoint_epoch_*.pth | head -1)
 fi
 
-echo "[2/4] Exporting final checkpoint to WGSL shaders..."
+echo "[2/4] Exporting final checkpoint to binary weights..."
 echo "Checkpoint: $FINAL_CHECKPOINT"
-python3 training/export_cnn_v2_shader.py "$FINAL_CHECKPOINT" \
-  --output-dir workspaces/main/shaders
+python3 training/export_cnn_v2_weights.py "$FINAL_CHECKPOINT" \
+  --output-weights workspaces/main/weights/cnn_v2_weights.bin
 
 if [ $? -ne 0 ]; then
     echo "Error: Shader export failed"
@@ -152,8 +152,8 @@ fi
 mkdir -p "$VALIDATION_DIR"
 echo "  Using checkpoint: $FINAL_CHECKPOINT"
 
-# Export weights only if not in validate mode
-if [ "$VALIDATE_ONLY" = false ]; then
+# Export weights for validation mode (already exported in step 2 for training mode)
+if [ "$VALIDATE_ONLY" = true ]; then
     python3 training/export_cnn_v2_weights.py "$FINAL_CHECKPOINT" \
       --output-weights workspaces/main/weights/cnn_v2_weights.bin > /dev/null 2>&1
 fi