snapshot..

modules/deeplearning/icing_fcn.py

@@ -598,6 +598,8 @@ class IcingIntensityFCN:
 
         if NOISE_TRAINING:
             conv = tf.keras.layers.GaussianNoise(stddev=NOISE_STDDEV)(input_2d)
+        else:
+            conv = input_2d
 
         conv = tf.keras.layers.Conv2D(num_filters, kernel_size=3, strides=1, padding=padding, activation=activation)(conv)
         print(conv.shape)