              var_x = InstanceNormalization()(var_x)
          if not res_block_follows:
              var_x = LeakyReLU(0.1)(var_x)
          if self.use_subpixel:
              var_x = SubPixelUpscaling()(var_x)
          else:
              var_x = PixelShuffler()(var_x)
          return var_x
  
      # <<< DFaker Model Blocks >>> #
 
</s> remove             var_x = PixelShuffler()(var_x)
 </s> add             var_x = PixelShuffler(name="{}_pixelshuffler".format(name))(var_x) </s> remove             var_x = LeakyReLU(0.1)(var_x)
 </s> add             var_x = LeakyReLU(0.1, name="{}_leakyrelu".format(name))(var_x) </s> remove             var_x = InstanceNormalization()(var_x)
 </s> add             var_x = InstanceNormalization(name="{}_instancenorm".format(name))(var_x) </s> remove         var_x = LeakyReLU(alpha=0.2)(var_x)
 </s> add         var_x = LeakyReLU(alpha=0.2, name="{}_leakyrelu_3".format(name))(var_x)
            var_x = SubPixelUpscaling(name="{}_subpixel".format(name))(var_x)
              var_x = InstanceNormalization()(var_x)
          if not res_block_follows:
              var_x = LeakyReLU(0.1)(var_x)
          if self.use_subpixel:
            var_x = SubPixelUpscaling(name="{}_subpixel".format(name))(var_x)
          else:
              var_x = PixelShuffler()(var_x)
          return var_x
  
      # <<< DFaker Model Blocks >>> #
keep keep keep keep replace keep keep keep keep keep
 Model Structure Changes

Standardize inputs for AutoEncoders
Name outputs from AutoEncoders
Name layers in nn_blocks.py 
lib/model/nn_blocks.py