new pad layer names

mlair/model_modules/convolutional_networks.py

@@ -83,7 +83,7 @@ class CNN(AbstractModelClass):
         x_input = keras.layers.Input(shape=self._input_shape)
         kernel = (1, 1)
         pad_size = PadUtils.get_padding_for_same(kernel)
-        x_in = Padding2D("SymPad2D")(padding=pad_size, name="SymPad")(x_input)
+        x_in = Padding2D("SymPad2D")(padding=pad_size, name="SymPad1")(x_input)
         x_in = keras.layers.Conv2D(filters=16, kernel_size=kernel,
                                    kernel_initializer=self.kernel_initializer,
                                    kernel_regularizer=self.kernel_regularizer)(x_in)
@@ -92,7 +92,7 @@ class CNN(AbstractModelClass):
                                    kernel_initializer=self.kernel_initializer,
                                    kernel_regularizer=self.kernel_regularizer)(x_in)
         x_in = self.activation()(x_in)
-        x_in = Padding2D("SymPad2D")(padding=pad_size, name="SymPad")(x_in)
+        x_in = Padding2D("SymPad2D")(padding=pad_size, name="SymPad2")(x_in)
         x_in = keras.layers.Conv2D(filters=64, kernel_size=kernel,
                                    kernel_initializer=self.kernel_initializer,
                                    kernel_regularizer=self.kernel_regularizer)(x_in)