diff --git a/aimodel/src/lib/ai/components/convnext.py b/aimodel/src/lib/ai/components/convnext.py
index 8e706ae..0202ae7 100644
--- a/aimodel/src/lib/ai/components/convnext.py
+++ b/aimodel/src/lib/ai/components/convnext.py
@@ -129,7 +129,7 @@ def convnext(
 
 def add_convnext_block(y, dim, drop_prob=0, prefix=""):
 	skip = y
-		
+	
 	y = tf.keras.layers.DepthwiseConv2D(
 		kernel_size=7,
 		padding='same',
diff --git a/aimodel/src/lib/ai/model_rainfallwater_segmentation.py b/aimodel/src/lib/ai/model_rainfallwater_segmentation.py
index 8f7e16a..53826ca 100644
--- a/aimodel/src/lib/ai/model_rainfallwater_segmentation.py
+++ b/aimodel/src/lib/ai/model_rainfallwater_segmentation.py
@@ -29,7 +29,7 @@ def model_rainfallwater_segmentation(metadata, feature_dim_in, shape_water_out,
 	layer_next = do_convnext_inverse(layer_next, arch_name="convnext_i_tiny")
 	
 	# TODO: An attention layer here instead of a dense layer, with a skip connection perhaps?
-	raise Exception("Error: read and implement attention from https://ieeexplore.ieee.org/document/9076883")
+	logger.warn("Warning: TODO implement attention from https://ieeexplore.ieee.org/document/9076883")
 	layer_next = tf.keras.layers.Dense(32)(layer_next)
 	layer_next = tf.keras.layers.Conv2D(1, kernel_size=1, activation="softmax", padding="same")(layer_next)