          logger.debug("Batchsize: %s", batchsize)
          logger.debug("Got batchsize: %s", batchsize)
          return batchsize
  
      def load_model(self):
          """ Load the model requested for conversion """
          logger.debug("Loading Model")
          model_dir = get_folder(self.args.model_dir, make_folder=False)
          if not model_dir:
              raise FaceswapError("{} does not exist.".format(self.args.model_dir))
 
</s>
    @staticmethod
    def set_tf_allow_growth():
        """ Allow TensorFlow to manage VRAM growth """
        # pylint: disable=no-member
        # TODO Move this temporary fix somewhere more appropriate
        logger.debug("Setting Tensorflow 'allow_growth' option")
        config = tf.ConfigProto()
        config.gpu_options.allow_growth = True
        config.gpu_options.visible_device_list = "0"
        set_session(tf.Session(config=config))
        logger.debug("Set Tensorflow 'allow_growth' option")

          logger.debug("Batchsize: %s", batchsize)
          logger.debug("Got batchsize: %s", batchsize)
          return batchsize
  
    @staticmethod
    def set_tf_allow_growth():
        """ Allow TensorFlow to manage VRAM growth """
        # pylint: disable=no-member
        # TODO Move this temporary fix somewhere more appropriate
        logger.debug("Setting Tensorflow 'allow_growth' option")
        config = tf.ConfigProto()
        config.gpu_options.allow_growth = True
        config.gpu_options.visible_device_list = "0"
        set_session(tf.Session(config=config))
        logger.debug("Set Tensorflow 'allow_growth' option")

      def load_model(self):
          """ Load the model requested for conversion """
          logger.debug("Loading Model")
          model_dir = get_folder(self.args.model_dir, make_folder=False)
          if not model_dir:
              raise FaceswapError("{} does not exist.".format(self.args.model_dir))
keep keep keep add keep keep keep keep keep keep
 scripts.convert - add allow growth option
scripts/convert.py