          -------
          :class:`keras.models.Model`
              The Decoder model
          """
          inputs = Input(shape=self._input_shape) if inputs is None else inputs
          var_x = inputs
          start_idx, end_idx = (0, None) if self._layer_indicies is None else self._layer_indicies
          end_idx = None if end_idx == -1 else end_idx
  
          if start_idx == 0:
              var_x = self._reshape_for_output(var_x)
 
</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                 var_y = inputs
 </s> add  </s> remove         var_x = inputs
 </s> add  </s> remove         indicies = None if not num_ups_in_fc else (num_ups_in_fc, -1)
 </s> add 
          -------
          :class:`keras.models.Model`
              The Decoder model
          """


          start_idx, end_idx = (0, None) if self._layer_indicies is None else self._layer_indicies
          end_idx = None if end_idx == -1 else end_idx
  
          if start_idx == 0:
              var_x = self._reshape_for_output(var_x)
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