          self._input_shape = input_shape
          self._config = config
          logger.debug("Initialized: %s", self.__class__.__name__,)
  
      def _reshape_for_output(self, inputs):
          """ Reshape the input for arbitrary output sizes.
  
          The number of filters in the input will have been scaled to the model output size allowing
          us to scale the dimensions to the requested output size.
  
 
</s> remove     def _max_nodes(self):
 </s> add     def _max_nodes(self) -> int: </s> remove     def __init__(self, input_shape, config):
 </s> add     def __init__(self, input_shape: Tuple[int, int, int], config: dict) -> None: </s> remove     def __init__(self, side, input_shape, config):
 </s> add     def __init__(self,
                 side: Literal["a", "b", "both"],
                 input_shape: Tuple[int, int, int],
                 config: dict) -> None: </s> remove     def _scale_filters(self, original_filters):
 </s> add     def _scale_filters(self, original_filters: int) -> int: </s> remove     def __init__(self, side, input_shape, config):
 </s> add     def __init__(self,
                 side: Literal["a", "b", "both", "gblock", "shared"],
                 input_shape: tuple,
                 config: dict) -> None:
    def _reshape_for_output(self, inputs: Tensor) -> Tensor:
          self._input_shape = input_shape
          self._config = config
          logger.debug("Initialized: %s", self.__class__.__name__,)
  
    def _reshape_for_output(self, inputs: Tensor) -> Tensor:
          """ Reshape the input for arbitrary output sizes.
  
          The number of filters in the input will have been scaled to the model output size allowing
          us to scale the dimensions to the requested output size.
  
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