parameters: (self,
                               executor,
                               dirname,
                               feeded_var_names,
                               target_vars,
                               main_program=None,
                               export_for_deployment=True,
                               mode=0)
docstring: save inference model for inference.
  
          Returns:
              None
  
          Examples:
  
              .. code-block:: python
  
                  import paddle.distributed.fleet as fleet
                  fleet.init()
  
                  # build net
                  # fleet.distributed_optimizer(...)
  
                  fleet.init_server()
docstring_summary: save inference model for inference.
docstring_tokens: save inference model for inference .
function: def save_inference_model(self,
                               executor,
                               dirname,
                               feeded_var_names,
                               target_vars,
                               main_program=None,
                               export_for_deployment=True,
                               mode=0):
          """
          save inference model for inference.
  
          Returns:
              None
  
          Examples:
  
              .. code-block:: python
  
                  import paddle.distributed.fleet as fleet
                  fleet.init()
  
                  # build net
                  # fleet.distributed_optimizer(...)
  
                  fleet.init_server()
  
          """
          # warnings.warn(
          #     "'save_inference_model' is a deprecated, will be deleted after v2.2.0, Please use fleet.save instead."
          # )
  
          self._runtime_handle._save_inference_model(
              executor, dirname, feeded_var_names, target_vars, main_program,
              export_for_deployment, mode)
function_tokens: def save_inference_model ( self , executor , dirname , feeded_var_names , target_vars , main_program = None , export_for_deployment = True , mode = 0 ) : # warnings.warn( #     "'save_inference_model' is a deprecated, will be deleted after v2.2.0, Please use fleet.save instead." # ) self . _runtime_handle . _save_inference_model ( executor , dirname , feeded_var_names , target_vars , main_program , export_for_deployment , mode )