                              padding="same",
                              relu_alpha=0.2)(var_x)
          return var_x
  
      def __call__(self, inputs: Optional[Tensor] = None) -> Tensor:
          """ Decoder Network.
  
          Parameters
          inputs: Tensor, optional
              If the input is an output from another model (such as the Fully Connected Model) this
              should be ``None`` otherwise it should be a Tensor
 
</s> remove         inputs: Tensor, optional
            If the input is an output from another model (such as the Fully Connected Model) this
            should be ``None`` otherwise it should be a Tensor
 </s> add         inputs: Tensor or list of tensors
            Input tensor(s) to upscale block. This will be a single tensor if learn mask is not
            selected or if this is the first call to the upscale blocks. If learn mask is selected
            and this is not the first call to upscale blocks, then this will be a list of the face
            and mask tensors. </s> remove         :class:`keras.models.Model`
            The Decoder model
 </s> add          Tensor or list of tensors
            The output of encoder blocks. Either a single tensor (if learn mask is not enabled) or
            list of tensors (if learn mask is enabled) </s> remove     input_shape: tuple
        The shape tuple for the input to the decoder.
 </s> add  </s> remove     def __init__(self, input_shape: Tuple[int, int, int], config: dict) -> None:
 </s> add     def __init__(self, input_shape: Tuple[int, ...], config: dict) -> None:
    def __call__(self, inputs: Union[Tensor, List[Tensor]]) -> Union[Tensor, List[Tensor]]:
        """ Upscale Network.
                              padding="same",
                              relu_alpha=0.2)(var_x)
          return var_x
  
    def __call__(self, inputs: Union[Tensor, List[Tensor]]) -> Union[Tensor, List[Tensor]]:
        """ Upscale Network.
    def __call__(self, inputs: Union[Tensor, List[Tensor]]) -> Union[Tensor, List[Tensor]]:
        """ Upscale Network.
  
          Parameters
          inputs: Tensor, optional
              If the input is an output from another model (such as the Fully Connected Model) this
              should be ``None`` otherwise it should be a Tensor
keep keep keep keep replace replace keep keep keep keep keep
 Bugfix: Phaze-A Fix learn mask for upscales in FC 
plugins/train/model/phaze_a.py