diff --git a/python/paddle/fluid/transpiler/distribute_transpiler.py b/python/paddle/fluid/transpiler/distribute_transpiler.py
index 53c9cbe23dd82af866658fe46d1d631b0a3b26f3..e070ea8d428831c490348fedbf1f8865fdb9910c 100644
--- a/python/paddle/fluid/transpiler/distribute_transpiler.py
+++ b/python/paddle/fluid/transpiler/distribute_transpiler.py
@@ -247,7 +247,7 @@ class DistributeTranspiler(object):
             np.random.seed(self.origin_program.random_seed)
             np.random.shuffle(grad_var_mapping_items)
 
-        grad_name_to_send_dummy_out = dict()
+        self.grad_name_to_send_dummy_out = dict()
         for grad_varname, splited_vars in grad_var_mapping_items:
             eplist = ps_dispatcher.dispatch(splited_vars)
 
@@ -271,7 +271,7 @@ class DistributeTranspiler(object):
 
             dummy_output = program.global_block().create_var(
                 name=framework.generate_control_dev_var_name())
-            grad_name_to_send_dummy_out[grad_varname] = dummy_output
+            self.grad_name_to_send_dummy_out[grad_varname] = dummy_output
 
             # get send op_role_var, if not splited, the grad should have .trainer suffix
             # if splited, grad should be the original grad var name (split_by_ref and send
@@ -297,7 +297,12 @@ class DistributeTranspiler(object):
         if self.sync_mode:
             send_barrier_out = program.global_block().create_var(
                 name=framework.generate_control_dev_var_name())
-            input_deps = grad_name_to_send_dummy_out.values()
+            if self.has_distributed_lookup_table:
+                self.grad_name_to_send_dummy_out[
+                    self.table_name] = program.global_block().create_var(
+                        name=framework.generate_control_dev_var_name())
+            input_deps = self.grad_name_to_send_dummy_out.values()
+
             program.global_block().append_op(
                 type="send_barrier",
                 inputs={"X": list(input_deps)},
@@ -329,7 +334,7 @@ class DistributeTranspiler(object):
                 recv_dep_in = send_barrier_out
             else:
                 # connect deps to send op in async mode
-                recv_dep_in = grad_name_to_send_dummy_out[
+                recv_dep_in = self.grad_name_to_send_dummy_out[
                     self.param_name_to_grad_name[param_varname]]
             all_recv_outputs.extend(splited_var)
             # get recv op_role_var, if not splited, the grad should have .trainer suffix
@@ -1046,9 +1051,13 @@ class DistributeTranspiler(object):
                     index=op_index + 2,
                     type="send",
                     inputs={'X': self.trainer_side_table_grad_list},
-                    outputs={'Out': []},
+                    outputs={
+                        'Out':
+                        [self.grad_name_to_send_dummy_out[self.table_name]]
+                        if self.sync_mode else []
+                    },
                     attrs={
-                        "sync_mode": True,
+                        "sync_mode": False,
                         "epmap": pserver_endpoints,
                         RPC_OP_ROLE_ATTR_NAME: RPC_OP_ROLE_ATTR_VALUE,
                         OP_ROLE_VAR_ATTR_NAME: [