              * loss - If old `dssim_loss` is ``true`` set new `loss_function` to `ssim` otherwise
              set it to `mae`. Remove old `dssim_loss` item
  
              * masks - If `learn_mask` does not exist then it is set to ``True`` if `mask_type` is
              not ``None`` otherwised it is set to ``False``.
  
              * masks type - Replace removed masks 'dfl_full' and 'facehull' with `components` mask
  
          Returns
          -------
 
</s> remove             # NB: Clipnorm is ballooning VRAM usage, which is not expected behavior
            # and may be a bug in Keras/TF.
            # PlaidML has a bug regarding the clipnorm parameter
 </s> add             # NB: Clip-norm is ballooning VRAM usage, which is not expected behavior
            # and may be a bug in Keras/Tensorflow.
            # PlaidML has a bug regarding the clip-norm parameter </s> remove                  use_subpixel=False,
 </s> add  </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.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  </s> remove     """Test routine for a faceswaps neural network blocks.
 </s> add     """Test routine for faceswap neural network blocks.
            not ``None`` otherwise it is set to ``False``.
              * loss - If old `dssim_loss` is ``true`` set new `loss_function` to `ssim` otherwise
              set it to `mae`. Remove old `dssim_loss` item
  
              * masks - If `learn_mask` does not exist then it is set to ``True`` if `mask_type` is
            not ``None`` otherwise it is set to ``False``.
  
              * masks type - Replace removed masks 'dfl_full' and 'facehull' with `components` mask
  
          Returns
          -------
keep keep keep keep replace keep keep keep keep keep
 Remove subpixel upscaling option (#1024) 
plugins/train/model/_base.py