diff --git a/paddle/framework/CMakeLists.txt b/paddle/framework/CMakeLists.txt
index f8f9bae12d42ccbc52b1046900d239ae0cde6940..cbf950d54b9af671e910afdda3407b4ffab72408 100644
--- a/paddle/framework/CMakeLists.txt
+++ b/paddle/framework/CMakeLists.txt
@@ -44,4 +44,4 @@ cc_library(paddle_pybind SHARED
 	add_op
 	mean_op
 	cross_entropy_op
-	recurrent_network_op)
+	recurrent_op)
diff --git a/paddle/framework/pybind.cc b/paddle/framework/pybind.cc
index cc47469b4db53458f6a4314f4339b58a9527637e..e9b83f40073df3ac857a301299bc1aeb6d6660c1 100644
--- a/paddle/framework/pybind.cc
+++ b/paddle/framework/pybind.cc
@@ -83,29 +83,28 @@ PYBIND11_PLUGIN(core) {
              self.Resize(make_ddim(dim));
            })
       .def("alloc_float",
-           [](pd::Tensor &self, paddle::platform::GPUPlace &place) {
+           [](Tensor &self, paddle::platform::GPUPlace &place) {
              self.mutable_data<float>(place);
            })
       .def("alloc_float",
-           [](pd::Tensor &self, paddle::platform::CPUPlace &place) {
+           [](Tensor &self, paddle::platform::CPUPlace &place) {
              self.mutable_data<float>(place);
            })
       .def("alloc_int",
-           [](pd::Tensor &self, paddle::platform::CPUPlace &place) {
+           [](Tensor &self, paddle::platform::CPUPlace &place) {
              self.mutable_data<int>(place);
            })
       .def("alloc_int",
-           [](pd::Tensor &self, paddle::platform::GPUPlace &place) {
+           [](Tensor &self, paddle::platform::GPUPlace &place) {
              self.mutable_data<int>(place);
            })
-      .def("set", paddle::pybind::PyCPUTensorSetFromArray<float>)
-      .def("set", paddle::pybind::PyCPUTensorSetFromArray<int>)
+      .def("set", PyCPUTensorSetFromArray<float>)
+      .def("set", PyCPUTensorSetFromArray<int>)
 #ifndef PADDLE_ONLY_CPU
-      .def("set", paddle::pybind::PyCUDATensorSetFromArray<float>)
-      .def("set", paddle::pybind::PyCUDATensorSetFromArray<int>)
+      .def("set", PyCUDATensorSetFromArray<float>)
+      .def("set", PyCUDATensorSetFromArray<int>)
 #endif
-      .def("shape",
-           [](pd::Tensor &self) { return pd::vectorize(self.dims()); });
+      .def("shape", [](Tensor &self) { return vectorize(self.dims()); });
 
   py::class_<Variable>(m, "Variable", R"DOC(Variable Class.
 
@@ -152,8 +151,8 @@ All parameter, weight, gradient are variables in Paddle.
   m.def_submodule(
        "var_names",
        "The module will return special predefined variable name in Paddle")
-      .def("empty", pd::OperatorBase::EMPTY_VAR_NAME)
-      .def("temp", pd::OperatorBase::TMP_VAR_NAME);
+      .def("empty", OperatorBase::EMPTY_VAR_NAME)
+      .def("temp", OperatorBase::TMP_VAR_NAME);
   // clang-format off
   py::class_<paddle::platform::DeviceContext>(m, "DeviceContext")
       .def_static("create",
@@ -190,9 +189,9 @@ All parameter, weight, gradient are variables in Paddle.
   });
 
   operator_base.def("backward",
-                    [](const pd::OperatorBase &forwardOp,
+                    [](const OperatorBase &forwardOp,
                        const std::unordered_set<std::string> &no_grad_vars) {
-                      return pd::Backward(forwardOp, no_grad_vars);
+                      return Backward(forwardOp, no_grad_vars);
                     });
 
   ExposeOperator(operator_base);