                              activation=self._activation,
                              name="{}_conv2d".format(self._name),
                              check_icnr_init=_CONFIG["icnr_init"],
                              **self._kwargs)(inputs)
          var_x = PixelShuffler(name="{}_pixelshuffler".format(self._name),
                                size=self._scale_factor)(var_x)
          return var_x
  
  
  class Upscale2xBlock():  # pylint:disable=too-few-public-methods
 
</s> remove                             name="{}_conv2d".format(self._name),
 </s> add                             name=f"{self._name}_conv2d", </s> remove                        name="{}_conv2d".format(self._name),
 </s> add                        name=f"{self._name}_conv2d", </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 = Concatenate(name="{}_concatenate".format(self._name))([var_x_sr, var_x2])
 </s> add                 var_x = Concatenate(name=f"{self._name}_concatenate")([var_x_sr, var_x2]) </s> remove             var_x = PReLU(name="{}_prelu".format(self._name))(var_x)
 </s> add             var_x = PReLU(name=f"{self._name}_prelu")(var_x)
        var_x = PixelShuffler(name=f"{self._name}_pixelshuffler",
                              activation=self._activation,
                              name="{}_conv2d".format(self._name),
                              check_icnr_init=_CONFIG["icnr_init"],
                              **self._kwargs)(inputs)
        var_x = PixelShuffler(name=f"{self._name}_pixelshuffler",
                                size=self._scale_factor)(var_x)
          return var_x
  
  
  class Upscale2xBlock():  # pylint:disable=too-few-public-methods
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) 
lib/model/nn_blocks.py