                                     name="{}_convtrans".format(self._name))(var_x)
          var_x = Add()([var_x_sr, var_x_us])
  
          if self._activation == "leakyrelu":
              var_x = LeakyReLU(0.2, name="{}_leakyrelu".format(self._name))(var_x)
          if self._activation == "swish":
              var_x = Swish(name="{}_swish".format(self._name))(var_x)
          if self._activation == "prelu":
              var_x = PReLU(name="{}_prelu".format(self._name))(var_x)
          return var_x
 
</s> remove             var_x = Swish(name="{}_swish".format(self._name))(var_x)
 </s> add             var_x = Swish(name=f"{self._name}_swish")(var_x) </s> remove                                    name="{}_convtrans".format(self._name))(var_x)
 </s> add                                    name=f"{self._name}_convtrans")(var_x) </s> remove             var_x = Swish(name="{}_swish".format(self._name))(var_x)
 </s> add             var_x = Swish(name=f"{self._name}_swish")(var_x) </s> remove             var_x = LeakyReLU(0.1, name="{}_leakyrelu".format(self._name))(var_x)
 </s> add             var_x = LeakyReLU(0.1, name=f"{self._name}_leakyrelu")(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)
            var_x = LeakyReLU(0.2, name=f"{self._name}_leakyrelu")(var_x)
                                     name="{}_convtrans".format(self._name))(var_x)
          var_x = Add()([var_x_sr, var_x_us])
  
          if self._activation == "leakyrelu":
            var_x = LeakyReLU(0.2, name=f"{self._name}_leakyrelu")(var_x)
          if self._activation == "swish":
              var_x = Swish(name="{}_swish".format(self._name))(var_x)
          if self._activation == "prelu":
              var_x = PReLU(name="{}_prelu".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