              var_y = input_
              var_y = UpscaleBlock(self.decoder_dim * 8, activation="leakyrelu")(var_y)
              var_y = UpscaleBlock(self.decoder_dim * 4, activation="leakyrelu")(var_y)
              var_y = UpscaleBlock(self.decoder_dim * 2, activation="leakyrelu")(var_y)
              var_y = Conv2DOutput(1, 5, name="mask_out_{}".format(side))(var_y)
              outputs.append(var_y)
          return KerasModel(input_, outputs=outputs, name="decoder_{}".format(side))
  
      def _legacy_mapping(self):
          """ The mapping of legacy separate model names to single model names """
 
</s> remove         return KerasModel(input_, outputs=outputs, name="decoder_{}".format(side))
 </s> add         return KerasModel(input_, outputs=outputs, name=f"decoder_{side}") </s> remove             var_y = Conv2DOutput(1, 5, name="mask_out_{}".format(side))(var_y)
 </s> add             var_y = Conv2DOutput(1, 5, name=f"mask_out_{side}")(var_y)
 </s> remove         return KerasModel(input_, outputs=outputs, name="decoder_{}".format(side))
 </s> add         return KerasModel(input_, outputs=outputs, name=f"decoder_{side}")
 </s> remove         outputs.append(Conv2DOutput(3, 5, name="face_out_128_{}".format(side))(var_x3))
 </s> add         outputs.append(Conv2DOutput(3, 5, name=f"face_out_128_{side}")(var_x3)) </s> remove             var_y = Conv2DOutput(1, 5, name="mask_out_{}".format(side))(var_y)
 </s> add             var_y = Conv2DOutput(1, 5, name=f"mask_out_{side}")(var_y)
            var_y = Conv2DOutput(1, 5, name=f"mask_out_{side}")(var_y)
              var_y = input_
              var_y = UpscaleBlock(self.decoder_dim * 8, activation="leakyrelu")(var_y)
              var_y = UpscaleBlock(self.decoder_dim * 4, activation="leakyrelu")(var_y)
              var_y = UpscaleBlock(self.decoder_dim * 2, activation="leakyrelu")(var_y)
            var_y = Conv2DOutput(1, 5, name=f"mask_out_{side}")(var_y)
              outputs.append(var_y)
          return KerasModel(input_, outputs=outputs, name="decoder_{}".format(side))
  
      def _legacy_mapping(self):
          """ The mapping of legacy separate model names to single model names """
keep keep keep keep replace keep keep keep keep keep
 Update all Keras Imports to be conditional (#1214)

* Remove custom keras importer

* first round keras imports fix

* launcher.py: Remove KerasFinder references

* 2nd round keras imports update (lib and extract)

* 3rd round keras imports update (train)

* remove KerasFinder from tests

* 4th round keras imports update (tests) 
plugins/train/model/dfl_sae.py