          """
          var_x = Conv2D(self._filters,
                         self._kernel_size,
                         padding=self._padding,
                         name="{}_conv2d".format(self._name),
                         **self._kwargs)(inputs)
          var_x = Activation(self._activation, dtype="float32", name=self._name)(var_x)
          return var_x
  
  
 
</s> remove                             name="{}_conv2d".format(self._name),
 </s> add                             name=f"{self._name}_conv2d", </s> remove                           name="{}_conv".format(self._name))(var_x_sr)
 </s> add                           name=f"{self._name}_conv")(var_x_sr) </s> remove         var_x = PixelShuffler(name="{}_pixelshuffler".format(self._name),
 </s> add         var_x = PixelShuffler(name=f"{self._name}_pixelshuffler", </s> remove                                  name="{}_resize".format(self._name))(var_x)
 </s> add                                  name=f"{self._name}_resize")(var_x) </s> remove                        name="{}_conv2d_1".format(self._name),
 </s> add                        name=f"{self._name}_conv2d_1",
                       name=f"{self._name}_conv2d",
          """
          var_x = Conv2D(self._filters,
                         self._kernel_size,
                         padding=self._padding,
                       name=f"{self._name}_conv2d",
                         **self._kwargs)(inputs)
          var_x = Activation(self._activation, dtype="float32", name=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