diff --git a/paddle/framework/framework.proto b/paddle/framework/framework.proto
index cf83d4cec312ac16366d84f897e7dc4784596ae8..6fcfe6de25737b66a2ea6c1a438636f072a513bb 100644
--- a/paddle/framework/framework.proto
+++ b/paddle/framework/framework.proto
@@ -106,7 +106,7 @@ enum DataType {
 
 message LoDTensorDesc {
   required DataType data_type = 1;
-  repeated int32 dims = 2; // [UNK, 640, 480] is saved as [-1, 640, 480]
+  repeated int64 dims = 2; // [UNK, 640, 480] is saved as [-1, 640, 480]
   optional int32 lod_level = 3 [ default = 0 ];
 }
 
diff --git a/paddle/pybind/protobuf.cc b/paddle/pybind/protobuf.cc
index 345bb02c86e3b88570df738c09ff847168929705..23c322ac3651fa3668a55bd1e2f6010ec24e2da6 100644
--- a/paddle/pybind/protobuf.cc
+++ b/paddle/pybind/protobuf.cc
@@ -47,12 +47,24 @@ class VarDescBind;
 
 class VarDescBind {
 public:
-  explicit VarDescBind(const std::string &name) { var_desc_.set_name(name); }
+  explicit VarDescBind(const std::string &name) { desc_.set_name(name); }
 
-  VarDesc *Proto() { return &var_desc_; }
+  VarDesc *Proto() { return &desc_; }
+
+  void SetShape(const std::vector<int64_t> &dims) {
+    VectorToRepeated(dims, desc_.mutable_lod_tensor()->mutable_dims());
+  }
+
+  void SetDataType(int type_id) {
+    desc_.mutable_lod_tensor()->set_data_type(static_cast<DataType>(type_id));
+  }
+
+  std::vector<int64_t> Shape() {
+    return RepeatedToVector(desc_.lod_tensor().dims());
+  }
 
 private:
-  VarDesc var_desc_;
+  VarDesc desc_;
 };
 
 class OpDescBind {
@@ -170,7 +182,8 @@ public:
 
   int32_t Parent() const { return desc_->parent_idx(); }
 
-  VarDescBind *NewVar(const std::string &name) {
+  VarDescBind *NewVar(py::bytes name_bytes) {
+    std::string name = name_bytes;
     need_update_ = true;
     auto it = vars_.find(name);
     PADDLE_ENFORCE(it == vars_.end(), "Duplicated variable %s", name);
@@ -303,32 +316,15 @@ void BindBlockDesc(py::module &m) {
            &BlockDescBind::AppendOp,
            py::return_value_policy::reference)
       .def("new_var",
-           [](BlockDesc &self) { return self.add_vars(); },
+           &BlockDescBind::NewVar,
            py::return_value_policy::reference);
 }
 
 void BindVarDsec(py::module &m) {
-  py::class_<VarDesc>(m, "VarDesc", "");
-  //  using namespace paddle::framework;  // NOLINT
-  //  py::class_<VarDesc>(m, "VarDesc", "")
-  //      .def(py::init<>())
-  //      .def("set_name",
-  //           [](VarDesc &self, const std::string &name) { self.set_name(name);
-  //           })
-  //      .def("set_shape",
-  //           [](VarDesc &self, const std::vector<int64_t> &dims) {
-  //             VectorToRepeated(dims,
-  //             self.mutable_lod_tensor()->mutable_dims());
-  //           })
-  //      .def("set_data_type",
-  //           [](VarDesc &self, int type_id) {
-  //             LoDTensorDesc *lod_tensor_desc = self.mutable_lod_tensor();
-  //             lod_tensor_desc->set_data_type(static_cast<DataType>(type_id));
-  //           })
-  //      .def("shape", [](VarDesc &self) {
-  //        const LoDTensorDesc &lod_tensor_desc = self.lod_tensor();
-  //        return RepeatedToVector(lod_tensor_desc.dims());
-  //      });
+  py::class_<VarDescBind>(m, "VarDesc", "")
+      .def("set_shape", &VarDescBind::SetShape)
+      .def("set_data_type", &VarDescBind::SetDataType)
+      .def("shape", &VarDescBind::Shape);
 }
 
 void BindOpDesc(py::module &m) {
diff --git a/python/paddle/v2/framework/tests/test_protobuf_descs.py b/python/paddle/v2/framework/tests/test_protobuf_descs.py
index 950a9363071b64c0fc24b17822f121f2c66207cb..2e96dcced5280fcc01bb2582bbedd9f28ffa608d 100644
--- a/python/paddle/v2/framework/tests/test_protobuf_descs.py
+++ b/python/paddle/v2/framework/tests/test_protobuf_descs.py
@@ -52,7 +52,7 @@ class TestVarDesc(unittest.TestCase):
     def test_shape(self):
         program_desc = core.ProgramDesc.instance()
         block = program_desc.root_block()
-        var = block.new_var()
+        var = block.new_var('my_var')
         src_shape = [3, 2, 10, 8]
         var.set_shape(src_shape)
         res_shape = var.shape()