minor

modules/deeplearning/espcn.py

@@ -374,11 +374,9 @@ class ESPCN:
 
         input_2d = self.inputs[0]
         print('input: ', input_2d.shape)
-
         # conv = tf.keras.layers.Conv2D(num_filters, kernel_size=5, strides=1, padding='VALID', activation=None)(input_2d)
         conv = input_2d
         print('input: ', conv.shape)
-        skip = conv
 
         conv = conv_b = tf.keras.layers.Conv2D(num_filters, kernel_size=3, padding=padding)(input_2d)