          if start_idx == 0:
              var_x = self._reshape_for_output(var_x)
  
              if self._config["learn_mask"]:
                  var_y = inputs
                  var_y = self._reshape_for_output(var_y)
  
              if self._is_dny:
                  var_x = self._dny_entry(var_x)
              if self._is_dny and self._config["learn_mask"]:
 
</s> remove         inputs = Input(shape=self._input_shape) if inputs is None else inputs
        var_x = inputs
 </s> add  </s> remove                                  self._input_shape,
 </s> add  </s> remove                                  layer_indicies=indicies)(var_x)
 </s> add                                  layer_indicies=indicies)(inputs)
          if start_idx == 0:
              var_x = self._reshape_for_output(var_x)
  
              if self._config["learn_mask"]:

                  var_y = self._reshape_for_output(var_y)
  
              if self._is_dny:
                  var_x = self._dny_entry(var_x)
              if self._is_dny and self._config["learn_mask"]:
keep keep keep keep replace keep keep keep keep keep
 Bugfix: Phaze-A Fix learn mask for upscales in FC 
plugins/train/model/phaze_a.py