diff --git a/paddle/fluid/operators/async_listen_and_serv_op.cc b/paddle/fluid/operators/async_listen_and_serv_op.cc
index 14d9121eff06250c5f619fd0ab136c9f35f125ad..093d44e2d1803a9ea4d33fca84f78c49451c2b11 100644
--- a/paddle/fluid/operators/async_listen_and_serv_op.cc
+++ b/paddle/fluid/operators/async_listen_and_serv_op.cc
@@ -89,7 +89,7 @@ void AsyncListenAndServOp::RunImpl(const framework::Scope &scope,
   std::unordered_map<std::string, int32_t> grad_to_id;
   std::unordered_map<int32_t, std::string> id_to_grad;
 
-  auto grad_map_str = Attr<std::vector<std::string>>("grad_map");
+  auto grad_map_str = Attr<std::vector<std::string>>("grad_to_id");
   for (auto &grad_and_id : grad_map_str) {
     std::vector<std::string> pieces;
     split(grad_and_id, ' ', &pieces);
@@ -193,7 +193,7 @@ from send_op and send back variables to recv_op.
         .SetDefault("127.0.0.1:6164")
         .AddCustomChecker([](const std::string &ip) { return !ip.empty(); });
     AddAttr<std::vector<std::string>>(
-        "grad_map(['param1@GRAD.block0:1', 'param2@GRAD.blockn:2'])",
+        "grad_to_id(['param1@GRAD.block0:1', 'param2@GRAD.blockn:2'])",
         "a map from grad name to it's optimize block id")
         .SetDefault({});
     AddAttr<framework::BlockDesc *>(kOptimizeBlock,
diff --git a/paddle/fluid/operators/listen_and_serv_op.cc b/paddle/fluid/operators/listen_and_serv_op.cc
index db8a0cd631b270bf89b49c9d7326e48669a0378c..d5cb1653513b7623cf25f227d72f148cc96d2a93 100644
--- a/paddle/fluid/operators/listen_and_serv_op.cc
+++ b/paddle/fluid/operators/listen_and_serv_op.cc
@@ -207,8 +207,8 @@ void ListenAndServOp::RunAsyncLoop(framework::Executor *executor,
   std::unordered_map<std::string, int32_t> grad_to_id;
   std::unordered_map<int32_t, std::string> id_to_grad;
 
-  auto grad_map_str = Attr<std::vector<std::string>>("grad_map");
-  for (auto &grad_and_id : grad_map_str) {
+  auto grad_to_id_str = Attr<std::vector<std::string>>("grad_to_id");
+  for (auto &grad_and_id : grad_to_id_str) {
     std::vector<std::string> pieces;
     split(grad_and_id, ' ', &pieces);
     PADDLE_ENFORCE_EQ(pieces.size(), 2);
@@ -227,7 +227,7 @@ void ListenAndServOp::RunAsyncLoop(framework::Executor *executor,
       block_list.push_back(blkid);
     }
   }
-  PADDLE_ENFORCE_EQ(grad_map_str.size(), block_list.size(),
+  PADDLE_ENFORCE_EQ(grad_to_id_str.size(), block_list.size(),
                     "grad num should be equal to optimize block num");
   auto optimize_prepared = executor->Prepare(*program, block_list);
 
@@ -328,7 +328,7 @@ from send_op and send back variables to recv_op.
         .SetDefault("127.0.0.1:6164")
         .AddCustomChecker([](const std::string &ip) { return !ip.empty(); });
     AddAttr<std::vector<std::string>>(
-        "grad_map(['param1@GRAD.block0:1', 'param2@GRAD.blockn:2'])",
+        "grad_to_id(['param1@GRAD.block0:1', 'param2@GRAD.blockn:2'])",
         "a map from grad name to it's optimize block id")
         .SetDefault({});
     AddAttr<bool>("sync_mode", "if works at sync_mode or not")
diff --git a/paddle/fluid/operators/send_recv_op_test.cc b/paddle/fluid/operators/send_recv_op_test.cc
index f247583ce64d0bae77d588ed74cc1d7e412477ea..2b440fe2deeaf25ee5348e5441481c532b6cedf2 100644
--- a/paddle/fluid/operators/send_recv_op_test.cc
+++ b/paddle/fluid/operators/send_recv_op_test.cc
@@ -137,7 +137,7 @@ void StartServerNet(bool is_sparse) {
   attrs.insert({"GradList", std::vector<std::string>({"x1"})});
   attrs.insert({"OptimizeBlock", optimize_block});
   attrs.insert({"PrefetchBlock", prefetch_block});
-  attrs.insert({"grad_map", {}});
+  attrs.insert({"grad_to_id", {}});
   attrs.insert({"sync_mode", true});
   listen_and_serv_op =
       f::OpRegistry::CreateOp("listen_and_serv", {{"X", {"x1"}}}, {}, attrs);