          resumed. Used to prevent Convolutional Aware weights from being calculated when a model
          is being reloaded. Default: ``True``
      """
      def __init__(self,
                   use_subpixel=False,
                   use_icnr_init=False,
                   use_convaware_init=False,
                   use_reflect_padding=False,
                   first_run=True):
          logger.debug("Initializing %s: (use_subpixel: %s, use_icnr_init: %s, use_convaware_init: "
 
</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     use_subpixel: bool, Optional
        ``True`` if sub-pixel up-scaling layer should be used instead of pixel shuffler for
        up-scaling. This option is deprecated as sub-pixel up-scaling is Nvidia only, but is kept
        for legacy models. Default: ``False``
 </s> add  </s> remove         self.use_subpixel = use_subpixel
 </s> add  </s> remove             not ``None`` otherwised it is set to ``False``.
 </s> add             not ``None`` otherwise it is set to ``False``. </s> remove         self.add_item(
            section=section, title="subpixel_upscaling", datatype=bool,
            default=False, group="network",
            info="Use subpixel upscaling rather than pixel shuffler. These techniques "
                 "are both designed to produce better resolving upscaling than other "
                 "methods. Each perform the same operations, but using different TF opts."
                 "\n\t https://arxiv.org/pdf/1609.05158.pdf")
 </s> add 
          resumed. Used to prevent Convolutional Aware weights from being calculated when a model
          is being reloaded. Default: ``True``
      """
      def __init__(self,

                   use_icnr_init=False,
                   use_convaware_init=False,
                   use_reflect_padding=False,
                   first_run=True):
          logger.debug("Initializing %s: (use_subpixel: %s, use_icnr_init: %s, use_convaware_init: "
keep keep keep keep replace keep keep keep keep keep
 Remove subpixel upscaling option (#1024) 
lib/model/nn_blocks.py