diff --git a/python/paddle/distributed/auto_parallel/engine.py b/python/paddle/distributed/auto_parallel/engine.py
index 1e1e37b4435ce639a87b03e770eff03dc5bc23b6..72a377603edc759c91bf483ec58bbab556704e97 100644
--- a/python/paddle/distributed/auto_parallel/engine.py
+++ b/python/paddle/distributed/auto_parallel/engine.py
@@ -324,65 +324,11 @@ class Engine:
             # instantiate communication by process_mapping.
             all_process_groups = get_all_process_groups()
 
-            has_recv_by_socket = []
-            # This is a magic number and the rank number for training is usually less than 5000
-            magic_num = 5000
-            genv = _get_global_env()
-            cur_rank_ip, cur_rank_port = genv.current_endpoint.split(":")
-            cur_rank_recv_port = int(cur_rank_port) + magic_num
-            server_socket = None
-            # Large enough for recv rank
-            buff_size = 1024
-            server_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
-            server_socket.bind((cur_rank_ip, cur_rank_recv_port))
-            # The 10 is an empirical value
-            server_socket.listen(10)
-            client_sockets = {}
+            # NOTE: add the comm init control in the future for auto search
             for process_group in all_process_groups:
                 if self._cur_rank not in process_group.ranks:
                     continue
-                if len(process_group.ranks) == 2:
-                    index = process_group.ranks.index(self._cur_rank)
-                    is_send = True if index == 0 else False
-                    if is_send:
-                        recv_rank = process_group.ranks[1]
-                        recv_rank_ip, recv_rank_port = genv.trainer_endpoints[
-                            recv_rank].split(":")
-                        connect_port = int(recv_rank_port) + magic_num
-                        client_socket = socket.socket(socket.AF_INET,
-                                                      socket.SOCK_STREAM)
-                        client_socket.connect((recv_rank_ip, connect_port))
-                        client_socket.send(str(self._cur_rank).encode('utf-8'))
-                        rank = client_socket.recv(buff_size).decode('utf-8')
-                        rank = int(rank)
-                        if rank != recv_rank:
-                            raise ValueError(
-                                "Please check comm pair, the recv rank should be {} but got {}."
-                                .format(recv_rank, rank))
-                        else:
-                            print("It is able to instantiate {} as sender now.".
-                                  format(process_group.ranks))
-                        client_socket.close()
-                    else:
-                        send_rank = process_group.ranks[0]
-                        while True:
-                            if send_rank not in has_recv_by_socket:
-                                client_socket, recv_addr = server_socket.accept(
-                                )
-                                rank = int(
-                                    client_socket.recv(buff_size).decode())
-                                client_sockets[rank] = client_socket
-                                has_recv_by_socket.append(rank)
-                            else:
-                                client_sockets[send_rank].send(
-                                    str(self._cur_rank).encode("utf-8"))
-                                client_sockets[send_rank].close()
-                                print(
-                                    "It is able to instantiate {} as recver now."
-                                    .format(process_group.ranks))
-                                break
                 process_group.instantiate()
-            server_socket.close()
 
         self._place = _get_device()
         if isinstance(self._place, fluid.CUDAPlace):