diff --git a/paddle/fluid/framework/ngraph_operator.cc b/paddle/fluid/framework/ngraph_operator.cc
index 253de4c61160e52202a0192215a93284f27e5896..e2cdfc845fe531733acc65746e661bfc2eed4890 100644
--- a/paddle/fluid/framework/ngraph_operator.cc
+++ b/paddle/fluid/framework/ngraph_operator.cc
@@ -471,27 +471,23 @@ void NgraphEngine::Run(const Scope& scope, const platform::Place& place) const {
       auto* tensor_pd = GetLoDTensorOrSelectedRowsValueFromVar(*var);
       PADDLE_ENFORCE(sp == Ddim2Shape(tensor_pd->dims()),
                      "Ensure ngraph tensor layout align with paddle tensor");
-      if (tensor_pd->type().hash_code() ==
-          typeid(float).hash_code()) {  // NOLINT
+      if (tensor_pd->type() == proto::VarType::FP32) {
         const float* arr = tensor_pd->data<float>();
         ti = backend_->create_tensor(ngraph::element::f32, sp,
                                      const_cast<float*>(arr));
-      } else if (tensor_pd->type().hash_code() ==
-                 typeid(int).hash_code()) {  // NOLINT
+      } else if (tensor_pd->type() == proto::VarType::INT32) {
         const int* arr = tensor_pd->data<int>();
         ti = backend_->create_tensor(ngraph::element::i32, sp,
                                      const_cast<int*>(arr));
-      } else if (tensor_pd->type().hash_code() == typeid(int64_t).hash_code()) {
+      } else if (tensor_pd->type() == proto::VarType::INT64) {
         const int64_t* arr = tensor_pd->data<int64_t>();
         ti = backend_->create_tensor(ngraph::element::i64, sp,
                                      const_cast<int64_t*>(arr));
-      } else if (tensor_pd->type().hash_code() ==
-                 typeid(double).hash_code()) {  // NOLINT
+      } else if (tensor_pd->type() == proto::VarType::FP64) {
         const double* arr = tensor_pd->data<double>();
         ti = backend_->create_tensor(ngraph::element::f64, sp,
                                      const_cast<double*>(arr));
-      } else if (tensor_pd->type().hash_code() ==
-                 typeid(bool).hash_code()) {  // NOLINT
+      } else if (tensor_pd->type() == proto::VarType::BOOL) {
         const bool* arr = tensor_pd->data<bool>();
         ti = backend_->create_tensor(ngraph::element::boolean, sp,
                                      const_cast<bool*>(arr));