          self._dense_recursions = 3
          logger.debug("Initialized: %s", self.__class__.__name__)
  
      @classmethod
      def _g_block(cls, inputs, style, filters, recursions=2):
          """ G_block adapted from ADAIN StyleGAN.
  
          Parameters
          ----------
          inputs: tensor
 
</s> remove def _bottleneck(inputs, bottleneck, size, normalization):
 </s> add def _bottleneck(inputs: Tensor, bottleneck: str, size: int, normalization: str) -> Tensor: </s> remove     def _upscale_block(self, inputs, filters, skip_residual=False, is_mask=False):
 </s> add     def _upscale_block(self,
                       inputs: Tensor,
                       filters: int,
                       skip_residual: bool = False,
                       is_mask: bool = False) -> Tensor: </s> remove     def __call__(self, inputs):
 </s> add     def __call__(self, inputs: Tensor) -> Tensor: </s> remove     def _normalization(self, inputs):
 </s> add     def _normalization(self, inputs: Tensor) -> Tensor: </s> remove     def _build_fully_connected(self, inputs):
 </s> add     def _build_fully_connected(
            self,
            inputs: Dict[str, keras.models.Model]) -> Dict[str, List[keras.models.Model]]:
    def _g_block(cls, inputs: Tensor, style: Tensor, filters: int, recursions: int = 2) -> Tensor:
          self._dense_recursions = 3
          logger.debug("Initialized: %s", self.__class__.__name__)
  
      @classmethod
    def _g_block(cls, inputs: Tensor, style: Tensor, filters: int, recursions: int = 2) -> Tensor:
          """ G_block adapted from ADAIN StyleGAN.
  
          Parameters
          ----------
          inputs: tensor
keep keep keep keep replace keep keep keep keep keep
 Model updates
- Increase model summary width
- Phaze A updates
  - Update some min/max values
  - Add Decoder Filter Slope Mode
  - Add additional arguments for Upsampling2D
  - Adjust upsampling method for multiple upsamples in FC layers
  - Typing 
plugins/train/model/phaze_a.py