                   "multi-GPU and resume."
                   "\n\t Building the model will likely take several minutes as the calculations "
                   "for this initialization technique are expensive. This will only impact starting "
                   "a new model.")
          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")
          self.add_item(
              section=section, title="reflect_padding", datatype=bool,
              default=False, group="network",
              info="Use reflection padding rather than zero padding with convolutions. "
                   "Each convolution must pad the image boundaries to maintain the proper "
 
</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                  use_subpixel=False,
 </s> add  </s> remove     """Test routine for a faceswaps neural network blocks.
 </s> add     """Test routine for faceswap neural network blocks. </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,
                   "multi-GPU and resume."
                   "\n\t Building the model will likely take several minutes as the calculations "
                   "for this initialization technique are expensive. This will only impact starting "
                   "a new model.")







          self.add_item(
              section=section, title="reflect_padding", datatype=bool,
              default=False, group="network",
              info="Use reflection padding rather than zero padding with convolutions. "
                   "Each convolution must pad the image boundaries to maintain the proper "
keep keep keep keep replace replace replace replace replace replace replace keep keep keep keep keep
 Remove subpixel upscaling option (#1024) 
plugins/train/_config.py