parameters: (self)
return_statement: return self._current_endpoint
docstring: The endpoint of current trainer, it is in the form of (node IP + port).
  
          Its value is equal to the value of the environment variable ``PADDLE_CURRENT_ENDPOINT`` . The default value is "".
  
          Examples:
            .. code-block:: python
              
              # execute this command in terminal: export PADDLE_CURRENT_ENDPOINT=127.0.0.1:6170
              import paddle.distributed as dist
              
              env = dist.ParallelEnv()
              print("The current endpoint are %s" % env.current_endpoint)
              # The current endpoint are 127.0.0.1:6170
docstring_summary: The endpoint of current trainer, it is in the form of (node IP + port).
docstring_tokens: The endpoint of current trainer it is in the form of ( node IP + port ) .
function: def current_endpoint(self):
          """
          The endpoint of current trainer, it is in the form of (node IP + port).
  
          Its value is equal to the value of the environment variable ``PADDLE_CURRENT_ENDPOINT`` . The default value is "".
  
          Examples:
            .. code-block:: python
              
              # execute this command in terminal: export PADDLE_CURRENT_ENDPOINT=127.0.0.1:6170
              import paddle.distributed as dist
              
              env = dist.ParallelEnv()
              print("The current endpoint are %s" % env.current_endpoint)
              # The current endpoint are 127.0.0.1:6170
          """
          return self._current_endpoint
function_tokens: def current_endpoint ( self ) : return self . _current_endpoint