          input_ = Input(shape=(input_width, input_width, input_filters))
  
          var_xy = input_
  
          dense_nodes = int(self.config['dense_nodes']/1.5)
          dense_filters = int(self.dense_filters/1.5)
  
          var_xy = Dense(dense_nodes)(Flatten()(var_xy))
          var_xy = Dense(self.dense_width * self.dense_width * dense_filters)(var_xy)
          var_xy = Reshape((self.dense_width, self.dense_width, dense_filters))(var_xy)
 
</s> remove         var_xy = Dense(self.config['dense_nodes'])(Flatten()(var_xy))
 </s> add         var_xy = Dense(self.config["dense_nodes"])(Flatten()(var_xy)) </s> remove         input_filters = self.config['complexity_encoder'] * 2**(self.downscalers_no-1)
        input_width = self.config['input_size'] // self._downscale_ratio
 </s> add         input_filters = self.config["complexity_encoder"] * 2**(self.downscalers_no-1)
        input_width = self.config["input_size"] // self._downscale_ratio </s> remove         input_filters = self.config['complexity_encoder'] * 2**(self.downscalers_no-1)
        input_width = self.config['input_size'] // self._downscale_ratio
 </s> add         input_filters = self.config["complexity_encoder"] * 2**(self.downscalers_no-1)
        input_width = self.config["input_size"] // self._downscale_ratio </s> remove         encoder_complexity = self.config['complexity_encoder']
 </s> add         encoder_complexity = self.config["complexity_encoder"] </s> remove         decoder_a_complexity = int(self.config['complexity_decoder'] / 1.5)
 </s> add         decoder_a_complexity = int(self.config["complexity_decoder"] / 1.5)
        dense_nodes = int(self.config["dense_nodes"]/1.5)
          input_ = Input(shape=(input_width, input_width, input_filters))
  
          var_xy = input_
  
        dense_nodes = int(self.config["dense_nodes"]/1.5)
          dense_filters = int(self.dense_filters/1.5)
  
          var_xy = Dense(dense_nodes)(Flatten()(var_xy))
          var_xy = Dense(self.dense_width * self.dense_width * dense_filters)(var_xy)
          var_xy = Reshape((self.dense_width, self.dense_width, dense_filters))(var_xy)
keep keep keep keep replace keep keep keep keep keep
 Add Convolutional Aware Initialization (#795)

* Training: Add Convolutional Aware Initialization config option

* Centralize Conv2D layer for handling initializer

* Add 'is-output' to NNMeta to indicate that network is an output to the Model 
plugins/train/model/realface.py