          outputs = [var_x]
  
          if self.config.get("learn_mask", False):
              var_y = input_
              var_y = UpscaleBlock(decoder_complexity)(var_y)
              if not self.low_mem:
                  var_y = UpscaleBlock(decoder_complexity)(var_y)
              var_y = UpscaleBlock(decoder_complexity // 2)(var_y)
              var_y = UpscaleBlock(decoder_complexity // 4)(var_y)
              if self.low_mem:
 
</s> remove                 var_y = UpscaleBlock(decoder_complexity)(var_y)
            var_y = UpscaleBlock(decoder_complexity // 2)(var_y)
            var_y = UpscaleBlock(decoder_complexity // 4)(var_y)
 </s> add                 var_y = UpscaleBlock(decoder_complexity, activation="leakyrelu")(var_y)
            var_y = UpscaleBlock(decoder_complexity // 2, activation="leakyrelu")(var_y)
            var_y = UpscaleBlock(decoder_complexity // 4, activation="leakyrelu")(var_y) </s> remove             var_y = UpscaleBlock(decoder_complexity)(var_y)
            var_y = UpscaleBlock(decoder_complexity)(var_y)
            var_y = UpscaleBlock(decoder_complexity // 2)(var_y)
            var_y = UpscaleBlock(decoder_complexity // 4)(var_y)
 </s> add             var_y = UpscaleBlock(decoder_complexity, activation="leakyrelu")(var_y)
            var_y = UpscaleBlock(decoder_complexity, activation="leakyrelu")(var_y)
            var_y = UpscaleBlock(decoder_complexity // 2, activation="leakyrelu")(var_y)
            var_y = UpscaleBlock(decoder_complexity // 4, activation="leakyrelu")(var_y) </s> remove                 var_y = UpscaleBlock(decoder_complexity // 8)(var_y)
 </s> add                 var_y = UpscaleBlock(decoder_complexity // 8, activation="leakyrelu")(var_y) </s> remove         var_x = UpscaleBlock(decoder_complexity // 2, **kwargs)(var_x)
        var_x = UpscaleBlock(decoder_complexity // 4, **kwargs)(var_x)
 </s> add         var_x = UpscaleBlock(decoder_complexity // 2, activation="leakyrelu", **kwargs)(var_x)
        var_x = UpscaleBlock(decoder_complexity // 4, activation="leakyrelu", **kwargs)(var_x) </s> remove             var_y = UpscaleBlock(self.encoder_dim)(var_y)
            var_y = UpscaleBlock(self.encoder_dim // 2)(var_y)
            var_y = UpscaleBlock(self.encoder_dim // 4)(var_y)
 </s> add             var_y = UpscaleBlock(self.encoder_dim, activation="leakyrelu")(var_y)
            var_y = UpscaleBlock(self.encoder_dim // 2, activation="leakyrelu")(var_y)
            var_y = UpscaleBlock(self.encoder_dim // 4, activation="leakyrelu")(var_y)
            var_y = UpscaleBlock(decoder_complexity, activation="leakyrelu")(var_y)
          outputs = [var_x]
  
          if self.config.get("learn_mask", False):
              var_y = input_
            var_y = UpscaleBlock(decoder_complexity, activation="leakyrelu")(var_y)
              if not self.low_mem:
                  var_y = UpscaleBlock(decoder_complexity)(var_y)
              var_y = UpscaleBlock(decoder_complexity // 2)(var_y)
              var_y = UpscaleBlock(decoder_complexity // 4)(var_y)
              if self.low_mem:
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/unbalanced.py