              outputs.append(Conv2DOutput(1,
                                          self._config["dec_output_kernel"],
                                          name="mask_out")(var_y))
  
          return KerasModel(inputs, outputs=outputs, name="decoder_{}".format(self._side))
 
</s> remove         return KerasModel(input_, outputs=outputs, name="decoder_{}".format(side))
 </s> add         return KerasModel(input_, outputs=outputs, name=f"decoder_{side}")
 </s> remove         return KerasModel([input_], outputs=outputs, name="decoder_{}".format(side))
 </s> add         return KerasModel([input_], outputs=outputs, name=f"decoder_{side}") </s> remove         return KerasModel(input_, outputs=outputs, name="decoder_{}".format(side))
 </s> add         return KerasModel(input_, outputs=outputs, name=f"decoder_{side}") </s> remove         return KerasModel(input_, outputs=outputs, name="decoder_{}".format(side))
 </s> add         return KerasModel(input_, outputs=outputs, name=f"decoder_{side}") </s> remove         return KerasModel(input_, outputs=outputs, name="decoder_{}".format(side))
 </s> add         return KerasModel(input_, outputs=outputs, name=f"decoder_{side}")

        return KerasModel(inputs, outputs=outputs, name=f"decoder_{self._side}")
              outputs.append(Conv2DOutput(1,
                                          self._config["dec_output_kernel"],
                                          name="mask_out")(var_y))
  
        return KerasModel(inputs, outputs=outputs, name=f"decoder_{self._side}")
keep keep keep keep replace
 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/phaze_a.py