                       self.__class__.__name__, use_subpixel, use_icnr_init, use_convaware_init,
                       use_reflect_padding, first_run)
          self.names = dict()
          self.first_run = first_run
          self.use_subpixel = use_subpixel
          self.use_icnr_init = use_icnr_init
          self.use_convaware_init = use_convaware_init
          self.use_reflect_padding = use_reflect_padding
          if self.use_convaware_init and self.first_run:
              logger.info("Using Convolutional Aware Initialization. Model generation will take a "
 
</s> remove         logger.debug("Initializing %s: (use_subpixel: %s, use_icnr_init: %s, use_convaware_init: "
                     "%s, use_reflect_padding: %s, first_run: %s)",
                     self.__class__.__name__, use_subpixel, use_icnr_init, use_convaware_init,
 </s> add         logger.debug("Initializing %s: (use_icnr_init: %s, use_convaware_init: %s, "
                     "use_reflect_padding: %s, first_run: %s)",
                     self.__class__.__name__, use_icnr_init, use_convaware_init, </s> remove         if self.use_subpixel:
            var_x = SubPixelUpscaling(name="{}_subpixel".format(name),
                                      scale_factor=scale_factor)(var_x)
        else:
            var_x = PixelShuffler(name="{}_pixelshuffler".format(name), size=scale_factor)(var_x)
 </s> add         var_x = PixelShuffler(name="{}_pixelshuffler".format(name), size=scale_factor)(var_x) </s> remove         self.state.config["subpixel_upscaling"] = False
 </s> add  </s> remove _PARAMS = ["use_subpixel", "use_icnr_init", "use_convaware_init", "use_reflect_padding"]
 </s> add _PARAMS = ["use_icnr_init", "use_convaware_init", "use_reflect_padding"] </s> remove         self.blocks = NNBlocks(use_subpixel=self.config["subpixel_upscaling"],
                               use_icnr_init=self.config["icnr_init"],
 </s> add         self.blocks = NNBlocks(use_icnr_init=self.config["icnr_init"],
                       self.__class__.__name__, use_subpixel, use_icnr_init, use_convaware_init,
                       use_reflect_padding, first_run)
          self.names = dict()
          self.first_run = first_run

          self.use_icnr_init = use_icnr_init
          self.use_convaware_init = use_convaware_init
          self.use_reflect_padding = use_reflect_padding
          if self.use_convaware_init and self.first_run:
              logger.info("Using Convolutional Aware Initialization. Model generation will take a "
keep keep keep keep replace keep keep keep keep keep
 Remove subpixel upscaling option (#1024) 
lib/model/nn_blocks.py