diff --git a/aimodel/src/lib/ai/model_rainfallwater_mono.py b/aimodel/src/lib/ai/model_rainfallwater_mono.py
index 71e6b6d..454cad8 100644
--- a/aimodel/src/lib/ai/model_rainfallwater_mono.py
+++ b/aimodel/src/lib/ai/model_rainfallwater_mono.py
@@ -38,7 +38,7 @@ def model_rainfallwater_mono(metadata, shape_water_out, model_arch_enc="convnext
 		arch_name				= model_arch_enc
 	)(layer_input)
 	
-	print("ENCODER output_shape", layer_next.shape)
+	print("DEBUG:model ENCODER output_shape", layer_next.shape)
 	
 	# BOTTLENECK
 	layer_next = tf.keras.layers.Dense(name="cns.stage.bottleneck.dense2", units=feature_dim)(layer_input)
@@ -50,6 +50,8 @@ def model_rainfallwater_mono(metadata, shape_water_out, model_arch_enc="convnext
 	layer_next = LayerStack2Image(target_width=4, target_height=4)(layer_next)
 	# layer_next = tf.keras.layers.Reshape((4, 4, math.floor(feature_dim_in/(4*4))), name="cns.stable_begin.reshape")(layer_next)
 	
+	print("DEBUG:model BOTTLENECK:stack2image output_shape", layer_next.shape)
+	
 	layer_next = tf.keras.layers.Dense(name="cns.stage.begin.dense2", units=feature_dim)(layer_next)
 	layer_next = tf.keras.layers.Activation(name="cns.stage_begin.relu2", activation="gelu")(layer_next)
 	layer_next = tf.keras.layers.LayerNormalization(name="cns.stage_begin.norm2", epsilon=1e-6)(layer_next)