support dp run single card (#29358) (#29372)

Author: ForFishes

python/paddle/distributed/fleet/base/fleet_base.py

@@ -179,6 +179,9 @@ def init(self, role_maker=None, is_collective=False, strategy=None):
                 fleet.init(strategy=strategy)
 
         """
+        if strategy is None:
+            strategy = DistributedStrategy()
+        self._user_defined_strategy = copy.deepcopy(strategy)
 
         if role_maker is None:
             if isinstance(is_collective, bool):
@@ -220,10 +223,6 @@ def init(self, role_maker=None, is_collective=False, strategy=None):
             else:
                 paddle.distributed.init_parallel_env()
 
-        if strategy is None:
-            strategy = DistributedStrategy()
-        self._user_defined_strategy = copy.deepcopy(strategy)
-
     def is_first_worker(self):
         """
         Check whether the node is the first instance of worker.

python/paddle/fluid/dygraph/parallel.py

@@ -395,11 +395,10 @@ def __init__(self,
                                              1024)
             self.init_reducer()
         else:
-            warnings.warn(
-                "nranks is less than 2, "
-                "maybe you need to check the current system environment."
-                " Need to use spawn or fleetrun to "
-                "start distributed programs.")
+            warnings.warn("The program will return to single-card operation. "
+                          "Please check 1, whether you use spawn or fleetrun "
+                          "to start the program. 2. Whether it is a multi-card "
+                          "program. 3. Is the current environment multi-card.")
 
     def init_reducer(self):
         layers_param = []