          var_x = SeparableConv2D(self._filters,
                                  kernel_size=self._kernel_size,
                                  strides=self._strides,
                                  padding="same",
                                  name="{}_seperableconv2d".format(self._name),
                                  **self._kwargs)(inputs)
          var_x = Activation("relu", name="{}_relu".format(self._name))(var_x)
          return var_x
  
  
 
</s> remove         var_x = Activation("relu", name="{}_relu".format(self._name))(var_x)
 </s> add         var_x = Activation("relu", name=f"{self._name}_relu")(var_x) </s> remove                        name="{}_conv2d_1".format(self._name),
 </s> add                        name=f"{self._name}_conv2d_1", </s> remove                        name="{}_conv2d".format(self._name),
 </s> add                        name=f"{self._name}_conv2d", </s> remove                                         name="{}_reflectionpadding2d_0".format(self._name))(var_x)
 </s> add                                         name=f"{self._name}_reflectionpadding2d_0")(var_x) </s> remove         var_x = PixelShuffler(name="{}_pixelshuffler".format(self._name),
 </s> add         var_x = PixelShuffler(name=f"{self._name}_pixelshuffler",
                                name=f"{self._name}_seperableconv2d",
          var_x = SeparableConv2D(self._filters,
                                  kernel_size=self._kernel_size,
                                  strides=self._strides,
                                  padding="same",
                                name=f"{self._name}_seperableconv2d",
                                  **self._kwargs)(inputs)
          var_x = Activation("relu", name="{}_relu".format(self._name))(var_x)
          return var_x
  
  
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