diff --git a/python/paddle/v2/fluid/distribute_transpiler.py b/python/paddle/v2/fluid/distribute_transpiler.py
index 62d1f3434c1ac33ce4f35b872cf9e631e29bf549..ff84e609e227a0c1a07eefca856e9bc4ccaccbab 100644
--- a/python/paddle/v2/fluid/distribute_transpiler.py
+++ b/python/paddle/v2/fluid/distribute_transpiler.py
@@ -353,16 +353,6 @@ class DistributeTranspiler:
             pass
         return orig_shape
 
-    # def _fetch_var_names(self, param_dict):
-    #     res = []
-    #     if not param_dict:
-    #         return res
-    #     for _, values in param_dict.iteritems():
-    #         if not isinstance(values, list):
-    #             values = [values]
-    #         res += [v.name for v in values]
-    #     return res
-
     def _append_pserver_ops(self, optimize_block, opt_op, endpoint):
         program = optimize_block.program
         pserver_block = program.global_block()
@@ -483,13 +473,9 @@ class DistributeTranspiler:
         # If one op's input is another op's output or
         # one op's output is another op's input, we say
         # the two operator is connected.
-        # op1_input_names = self._fetch_var_names(op1.inputs)
-        # op1_output_names = self._fetch_var_names(op1.outputs)
         op1_input_names = op1.desc.input_arg_names()
         op1_output_names = op1.desc.output_arg_names()
 
-        # op2_input_names = self._fetch_var_names(op2.inputs)
-        # op2_output_names = self._fetch_var_names(op2.outputs)
         op2_input_names = op2.desc.input_arg_names()
         op2_output_names = op2.desc.output_arg_names()