          var_x = UpscaleBlock(256, res_block_follows=True)(var_x)
          var_x = ResidualBlock(256, kernel_initializer=self.kernel_initializer)(var_x)
          var_x = UpscaleBlock(128, res_block_follows=True)(var_x)
          var_x = ResidualBlock(128, kernel_initializer=self.kernel_initializer)(var_x)
          var_x = UpscaleBlock(64)(var_x)
          var_x = Conv2DOutput(3, 5, name="face_out_{}".format(side))(var_x)
          outputs = [var_x]
  
          if self.config.get("learn_mask", False):
              var_y = input_
 
</s> remove         var_x = UpscaleBlock(128, res_block_follows=True)(var_x)
 </s> add         var_x = UpscaleBlock(128, activation=None)(var_x) </s> remove         var_x = UpscaleBlock(256, res_block_follows=True)(var_x)
 </s> add         var_x = UpscaleBlock(256, activation=None)(var_x) </s> remove         var_x = UpscaleBlock(512, res_block_follows=True)(var_x)
 </s> add         var_x = UpscaleBlock(512, activation=None)(var_x) </s> remove             var_x = UpscaleBlock(1024, res_block_follows=True)(var_x)
 </s> add             var_x = UpscaleBlock(1024, activation=None)(var_x) </s> remove         var_x = UpscaleBlock(512)(var_x)
        var_x = UpscaleBlock(256)(var_x)
        var_x = UpscaleBlock(128)(var_x)
        var_x = UpscaleBlock(64)(var_x)
 </s> add         var_x = UpscaleBlock(512, activation="leakyrelu")(var_x)
        var_x = UpscaleBlock(256, activation="leakyrelu")(var_x)
        var_x = UpscaleBlock(128, activation="leakyrelu")(var_x)
        var_x = UpscaleBlock(64, activation="leakyrelu")(var_x)
        var_x = UpscaleBlock(64, activation="leakyrelu")(var_x)
          var_x = UpscaleBlock(256, res_block_follows=True)(var_x)
          var_x = ResidualBlock(256, kernel_initializer=self.kernel_initializer)(var_x)
          var_x = UpscaleBlock(128, res_block_follows=True)(var_x)
          var_x = ResidualBlock(128, kernel_initializer=self.kernel_initializer)(var_x)
        var_x = UpscaleBlock(64, activation="leakyrelu")(var_x)
          var_x = Conv2DOutput(3, 5, name="face_out_{}".format(side))(var_x)
          outputs = [var_x]
  
          if self.config.get("learn_mask", False):
              var_y = input_
keep keep keep keep replace keep keep keep keep keep
 lib.model - Maintenance
  - Add Depthwise option to Conv Block
  - Add Swish Activation function
  - remove res_block_follows and add_instance_norm_args
  - Add explicit normalization and activation args
  - Add K.resize_images layer
plugins.train.model - Inference creation bugfix 
plugins/train/model/dfaker.py