remove print

ml-agents/mlagents/trainers/saver/torch_saver.py

         :param checkpoint_path: filepath to write the checkpoint
         :param brain_name: Brain name of brain to be trained
         """
-        print('save checkpoint_path:', checkpoint_path)
         if not os.path.exists(self.model_path):
             os.makedirs(self.model_path)
         state_dict = {name: module.state_dict() for name, module in self.modules.items()}
             self._load_model(self.model_path, reset_global_steps=reset_steps)
 
     def export(self, output_filepath: str, brain_name: str) -> None:
-        print('export output_filepath:', output_filepath)
-        print('load model_path:', model_path)
         saved_state_dict = torch.load(model_path)
         for name, state_dict in saved_state_dict.items():
             self.modules[name].load_state_dict(state_dict)