          :class:`keras.models.Model`
              The Decoder model
          """
          inputs = Input(shape=self._input_shape)
          var_x = inputs
          num_ups_in_fc = self._config["dec_upscales_in_fc"]
          indicies = None if not num_ups_in_fc else (num_ups_in_fc, -1)
  
          upscales = UpscaleBlocks(self._side,
                                   self._input_shape,
 
</s> remove         indicies = None if not num_ups_in_fc else (num_ups_in_fc, -1)
 </s> add  </s> remove                                  self._input_shape,
 </s> add  </s> remove         inputs = Input(shape=self._input_shape) if inputs is None else inputs
        var_x = inputs
 </s> add  </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)
          :class:`keras.models.Model`
              The Decoder model
          """
          inputs = Input(shape=self._input_shape)

          num_ups_in_fc = self._config["dec_upscales_in_fc"]
          indicies = None if not num_ups_in_fc else (num_ups_in_fc, -1)
  
          upscales = UpscaleBlocks(self._side,
                                   self._input_shape,
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