     # Create the model
          
      def get_saved_model_info(self):
          # Find the last model file that was saved and the iteration at which it was saved.
          
      def loss(self,preds,labels):
          # Compute the loss
          
      def load_model(self, model_file):
          # Load the model weights, optimizer state etc from the model_file
          
      def preprocess(self,ims):
          # Preprocess the images, eg: normalize.
          
          
      <b>def train_wrapper(se