fix code in save/load

doc/fluid/user_guides/howto/training/save_load_variables.rst

@@ -270,12 +270,12 @@ save_vars、save_params、save_persistables 以及 save_inference_model的区别
     pserver_endpoints = "127.0.0.1:1001,127.0.0.1:1002"
     trainers = 4
     training_role == "PSERVER"
+    current_endpoint = "127.0.0.1:1002"
     config = fluid.DistributeTranspilerConfig()
     t = fluid.DistributeTranspiler(config=config)
     t.transpile(trainer_id, pservers=pserver_endpoints, trainers=trainers, sync_mode=True, current_endpoint=current_endpoint)
 
     if training_role == "PSERVER":
-        current_endpoint = "127.0.0.1:1001"
         pserver_prog = t.get_pserver_program(current_endpoint)
         pserver_startup = t.get_startup_program(current_endpoint, pserver_prog)
 

doc/fluid/user_guides/howto/training/save_load_variables_en.rst

@@ -182,12 +182,12 @@ For the PServer to be loaded with parameters during training, for example:
     pserver_endpoints = "127.0.0.1:1001,127.0.0.1:1002"
     trainers = 4
     Training_role == "PSERVER"
+    current_endpoint = "127.0.0.1:1002"
     config = fluid.DistributeTranspilerConfig()
     t = fluid.DistributeTranspiler(config=config)
-	t.transpile(trainer_id, pservers=pserver_endpoints, trainers=trainers, sync_mode=True)
+    t.transpile(trainer_id, pservers=pserver_endpoints, trainers=trainers, sync_mode=True, current_endpoint=current_endpoint)
     
     if training_role == "PSERVER":
-		current_endpoint = "127.0.0.1:1001"
         pserver_prog = t.get_pserver_program(current_endpoint)
         pserver_startup = t.get_startup_program(current_endpoint, pserver_prog)