              decoder_A.load_weights(self.arguments.model_dir + '/decoder_A.h5')
              decoder_B.load_weights(self.arguments.model_dir + '/decoder_B.h5')
          except Exception as e:
              print('Not loading existing training data.')
  
          self.process()
  
      def parse_arguments(self, description):
          parser = argparse.ArgumentParser(
              description=description,
 
</s> remove         images_A = get_image_paths(self.arguments.images_A)
        images_B = get_image_paths(self.arguments.images_B)
 </s> add         images_A = get_image_paths(self.arguments.input_A)
        images_B = get_image_paths(self.arguments.input_B) </s> remove                             default="model",
 </s> add                             default="models",
            print(e)
              decoder_A.load_weights(self.arguments.model_dir + '/decoder_A.h5')
              decoder_B.load_weights(self.arguments.model_dir + '/decoder_B.h5')
          except Exception as e:
              print('Not loading existing training data.')
            print(e)
  
          self.process()
  
      def parse_arguments(self, description):
          parser = argparse.ArgumentParser(
              description=description,
keep keep keep add keep keep keep keep keep keep
 Fix training command line arguments.

I'm severely drunk and I accidentally pushed to master. Sorry! 
lib/cli.py