original_docstring: 
          Saves the model with the specific path, saver, and tensorflow session.
          :param session: The tensorflow session
          :param saver: The object that is actually saving the model
          :param file_path: The place where the model is stored
          :param global_step: What number it is in the training
          
docstring: Saves the model with the specific path, saver, and tensorflow session.
docstring_tokens: Saves the model with the specific path saver and tensorflow session .
code: def _save_model(self, session, saver, file_path, global_step):
          """
          Saves the model with the specific path, saver, and tensorflow session.
          :param session: The tensorflow session
          :param saver: The object that is actually saving the model
          :param file_path: The place where the model is stored
          :param global_step: What number it is in the training
          """
          try:
              saver.save(session, file_path, global_step=global_step)
          except Exception as e:
              print(e)
code_tokens: def _save_model ( self , session , saver , file_path , global_step ) : try : saver . save ( session , file_path , global_step = global_step ) except Exception as e : print ( e )
short_docstring: Saves the model with the specific path, saver, and tensorflow session.
short_docstring_tokens: Saves the model with the specific path saver and tensorflow session .
comment: """
          Saves the model with the specific path, saver, and tensorflow session.
          :param session: The tensorflow session
          :param saver: The object that is actually saving the model
          :param file_path: The place where the model is stored
          :param global_step: What number it is in the training
          """