Only the inputs vars of ops in Pserver program will be cloned, other

input vars will NOT take into account

python/paddle/fluid/transpiler/distribute_transpiler.py

@@ -309,10 +309,10 @@ class DistributeTranspiler(object):
     def get_pserver_program(self, endpoint):
         """
         Get parameter server side program.
-        
+
         Args:
             endpoint (str): current parameter server endpoint.
-        
+
         Returns:
             Program: the program for current parameter server to run.
         """
@@ -514,7 +514,7 @@ class DistributeTranspiler(object):
             endpoint (str): current pserver endpoint.
             pserver_program (Program): call get_pserver_program first and
                 pass the result here.
-        
+
         Returns:
             Program: parameter server side startup program.
         """
@@ -550,10 +550,10 @@ class DistributeTranspiler(object):
                     op_on_pserver = True
                     new_outputs[key] = pserver_vars[op.output(key)[0]]
 
-            # most startup program ops have no inputs
-            new_inputs = self._get_input_map_from_op(pserver_vars, op)
-
             if op_on_pserver:
+                # most startup program ops have no inputs
+                new_inputs = self._get_input_map_from_op(pserver_vars, op)
+
                 if op.type in [
                         "gaussian_random", "fill_constant", "uniform_random"
                 ]: