diff --git a/paddle/fluid/operators/listen_and_serv_op.cc b/paddle/fluid/operators/listen_and_serv_op.cc
index ee0e3533ce028992af3d4558e3fd198a09c4816b..8e9923c87ce22ed229f78ef15430e50cab16c947 100644
--- a/paddle/fluid/operators/listen_and_serv_op.cc
+++ b/paddle/fluid/operators/listen_and_serv_op.cc
@@ -129,6 +129,8 @@ class ListenAndServOp : public framework::OperatorBase {
       }
       if (exit_flag) {
         rpc_service_->ShutDown();
+        rpc_service_->SetCond(1);
+        break;
       }
       try {
         executor.Run(*program, &recv_scope, block->ID(), /*global_block*/
diff --git a/paddle/fluid/operators/send_recv_op_test.cc b/paddle/fluid/operators/send_recv_op_test.cc
index 008c012a32e0c88dfb0c05d7e485ffc367b3cac5..e9fb845b475ff5776bf948ab120a44c16ed87aa0 100644
--- a/paddle/fluid/operators/send_recv_op_test.cc
+++ b/paddle/fluid/operators/send_recv_op_test.cc
@@ -95,7 +95,7 @@ void AddOp(const std::string &type, const f::VariableNameMap &inputs,
   for (auto kv : outputs) {
     for (auto v : kv.second) {
       auto var = block->Var(v);
-      var->SetDataType(f::proto::DataType::FP32);
+      var->SetDataType(f::proto::VarType::FP32);
     }
   }
 
@@ -122,33 +122,37 @@ void StartServerNet(bool is_sparse) {
 
   // sub program run in listen_and_serv_op, for simple test we use sum
   f::ProgramDesc program;
-  f::BlockDesc *block = program.MutableBlock(0);
+  f::BlockDesc *optimize_block = program.MutableBlock(0);
   // X for server side tensors, RX for received tensers, must be of same shape.
-  AddOp("sum", {{"X", {"x0", "x1"}}}, {{"Out", {"Out"}}}, {}, block);
+  AddOp("sum", {{"X", {"x0", "x1"}}}, {{"Out", {"Out"}}}, {}, optimize_block);
 
   f::AttributeMap attrs;
   attrs.insert({"endpoint", std::string("127.0.0.1:6174")});
+  attrs.insert({"Fanin", 1});
   attrs.insert({"ParamList", std::vector<std::string>({"Out"})});
   attrs.insert({"GradList", std::vector<std::string>({"x1"})});
-  attrs.insert({"OptimizeBlock", block});
+  attrs.insert({"OptimizeBlock", optimize_block});
   listen_and_serv_op =
-      f::OpRegistry::CreateOp("listen_and_serv", {}, {}, attrs);
+      f::OpRegistry::CreateOp("listen_and_serv", {{"X", {"x1"}}}, {}, attrs);
   listen_and_serv_op->Run(scope, place);
 }
 
 TEST(SendRecvOp, CPUDense) {
   std::thread server_thread(StartServerNet, false);
-  sleep(10);  // wait server to start
+  sleep(5);  // wait server to start
   // local net
   f::Scope scope;
   p::CPUPlace place;
   InitTensorsInScope(scope, place);
+  // create rpc client var
+  scope.Var("RPC_CLIENT_VAR");
 
   f::AttributeMap attrs;
   attrs.insert({"endpoints", std::vector<std::string>({"127.0.0.1:6174"})});
   attrs.insert({"epmap", std::vector<std::string>({"127.0.0.1:6174"})});
-  auto send_op = f::OpRegistry::CreateOp("send", {{"X", {"x1"}}},
-                                         {{"Out", {"Out"}}}, attrs);
+  auto send_op = f::OpRegistry::CreateOp(
+      "send", {{"X", {"x1"}}},
+      {{"Out", {"Out"}}, {"RPCClient", {"RPC_CLIENT_VAR"}}}, attrs);
   send_op->Run(scope, place);
 
   auto in_var = scope.Var("x1");
@@ -175,11 +179,13 @@ TEST(SendRecvOp, CPUSparse) {
   p::CPUPlace place;
   p::CPUDeviceContext ctx(place);
   InitSelectedRowsInScope(scope, place);
+  scope.Var("RPC_CLIENT_VAR");
   f::AttributeMap attrs;
   attrs.insert({"endpoints", std::vector<std::string>({"127.0.0.1:6174"})});
   attrs.insert({"epmap", std::vector<std::string>({"127.0.0.1:6174"})});
-  auto send_op = f::OpRegistry::CreateOp("send", {{"X", {"x1"}}},
-                                         {{"Out", {"Out"}}}, attrs);
+  auto send_op = f::OpRegistry::CreateOp(
+      "send", {{"X", {"x1"}}},
+      {{"Out", {"Out"}}, {"RPCClient", {"RPC_CLIENT_VAR"}}}, attrs);
   send_op->Run(scope, place);
 
   auto x0 = scope.Var("x0")->GetMutable<f::SelectedRows>();