                  var_x = upscaler(var_x)
                  if self._config["fc_upsampler"].lower() == "upsample2d":
                      var_x = LeakyReLU(alpha=0.1)(var_x)
  
          return KerasModel(input_, var_x, name="fc_{}".format(self._side))
  
  
  class GBlock():  # pylint:disable=too-few-public-methods
      """ G-Block model, borrowing from Adain StyleGAN.
  
 
</s> remove         return KerasModel(input_, var_x, name="inter_{}".format(side))
 </s> add         return KerasModel(input_, var_x, name=f"inter_{side}") </s> remove         return KerasModel(input_, var_x, name="intermediate_{}".format(side))
 </s> add         return KerasModel(input_, var_x, name=f"intermediate_{side}") </s> remove             var_x = PReLU(name="{}_prelu".format(self._name))(var_x)
 </s> add             var_x = PReLU(name=f"{self._name}_prelu")(var_x) </s> remove             var_x = PReLU(name="{}_prelu".format(self._name))(var_x)
 </s> add             var_x = PReLU(name=f"{self._name}_prelu")(var_x) </s> remove         var_x = PixelShuffler(name="{}_pixelshuffler".format(self._name),
 </s> add         var_x = PixelShuffler(name=f"{self._name}_pixelshuffler",
        return KerasModel(input_, var_x, name=f"fc_{self._side}")
                  var_x = upscaler(var_x)
                  if self._config["fc_upsampler"].lower() == "upsample2d":
                      var_x = LeakyReLU(alpha=0.1)(var_x)
  
        return KerasModel(input_, var_x, name=f"fc_{self._side}")
  
  
  class GBlock():  # pylint:disable=too-few-public-methods
      """ G-Block model, borrowing from Adain StyleGAN.
  
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/phaze_a.py