snapshot...

modules/deeplearning/srcnn.py

@@ -375,13 +375,6 @@ class SRCNN:
         conv = conv + conv_b
         print(conv.shape)
 
-        # conv = tf.keras.layers.Conv2D(num_filters * (factor ** 2), 3, padding='same')(conv)
-        print(conv.shape)
-
-        #conv = tf.nn.depth_to_space(conv, factor)
-        #conv = tf.keras.layers.Conv2DTranspose(num_filters * (factor ** 2), 3, padding='same')(conv)
-        print(conv.shape)
-
         self.logits = tf.keras.layers.Conv2D(1, kernel_size=3, strides=1, padding=padding, name='regression')(conv)
 
         print(self.logits.shape)