diff --git a/paddle/fluid/operators/ngraph/ops/cast_op.h b/paddle/fluid/operators/ngraph/ops/cast_op.h
new file mode 100644
index 0000000000000000000000000000000000000000..8e385f61bee10b8d4dfb2fdcc723637a6f3c2a07
--- /dev/null
+++ b/paddle/fluid/operators/ngraph/ops/cast_op.h
@@ -0,0 +1,62 @@
+/*Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License. */
+
+#pragma once
+
+#include <functional>
+#include <memory>
+#include <string>
+#include <unordered_map>
+
+#include "ngraph/ngraph.hpp"
+#include "paddle/fluid/operators/ngraph/ops/op_bridge.h"
+#include "paddle/fluid/platform/ngraph_helper.h"
+
+namespace paddle {
+namespace operators {
+namespace ngraphs {
+
+static void BuildCastNode(
+    const std::shared_ptr<framework::OperatorBase>& op,
+    std::shared_ptr<
+        std::unordered_map<std::string, std::shared_ptr<ngraph::Node>>>
+        ngb_node_map) {
+  auto input = platform::GetInputNode(op, "X", ngb_node_map);
+  auto op_attrs = framework::AttrReader(op->Attrs());
+  auto ng_dtype =
+      platform::GetNgType(static_cast<paddle::framework::proto::VarType::Type>(
+          op_attrs.Get<int>("out_dtype")));
+  auto out = std::make_shared<ngraph::op::Convert>(input, ng_dtype);
+  paddle::platform::SetOutputNode(op, "Out", out, ngb_node_map);
+}
+
+static void BuildCastGradNode(
+    const std::shared_ptr<framework::OperatorBase>& op,
+    std::shared_ptr<
+        std::unordered_map<std::string, std::shared_ptr<ngraph::Node>>>
+        ngb_node_map) {
+  auto input = platform::GetInputNode(op, "Out@GRAD", ngb_node_map);
+  auto op_attrs = framework::AttrReader(op->Attrs());
+  auto ng_dtype =
+      platform::GetNgType(static_cast<paddle::framework::proto::VarType::Type>(
+          op_attrs.Get<int>("out_dtype")));
+  auto out = std::make_shared<ngraph::op::Convert>(input, ng_dtype);
+  platform::SetOutputNode(op, "X@GRAD", out, ngb_node_map);
+}
+}  // namespace ngraphs
+}  // namespace operators
+}  // namespace paddle
+
+REGISTER_NG_OP(cast, BuildCastNode);
+REGISTER_NG_OP(cast_grad, BuildCastGradNode);
diff --git a/paddle/fluid/operators/ngraph/ops/fill_constant_op.h b/paddle/fluid/operators/ngraph/ops/fill_constant_op.h
index 42c2df5259242b7ae28613ab12c237834febc574..fee5f57e4862a8a033a28885a01a0dafea35f7f0 100644
--- a/paddle/fluid/operators/ngraph/ops/fill_constant_op.h
+++ b/paddle/fluid/operators/ngraph/ops/fill_constant_op.h
@@ -38,20 +38,9 @@ void BuildFillConstantNode(
     shape.push_back(sp);
   }
   float value = op_attrs.Get<float>("value");
-  ngraph::element::Type ng_dtype;
-  auto data_type = static_cast<paddle::framework::proto::VarType::Type>(
-      op_attrs.Get<int>("dtype"));
-  if (data_type == paddle::framework::proto::VarType::FP32) {
-    ng_dtype = ngraph::element::f32;
-  } else if (data_type == paddle::framework::proto::VarType::FP64) {
-    ng_dtype = ngraph::element::f64;
-  } else if (data_type == paddle::framework::proto::VarType::INT64) {
-    ng_dtype = ngraph::element::i64;
-  } else if (data_type == paddle::framework::proto::VarType::INT32) {
-    ng_dtype = ngraph::element::i32;
-  } else {
-    PADDLE_THROW("unsupported data type: %s", data_type);
-  }
+  auto ng_dtype =
+      platform::GetNgType(static_cast<paddle::framework::proto::VarType::Type>(
+          op_attrs.Get<int>("dtype")));
   auto out = ngraph::op::Constant::create(ng_dtype, shape, {value});
   paddle::platform::SetOutputNode(op, "Out", out, ngb_node_map);
 }
diff --git a/python/paddle/fluid/tests/unittests/ngraph/test_cast_ngraph_op.py b/python/paddle/fluid/tests/unittests/ngraph/test_cast_ngraph_op.py
new file mode 100644
index 0000000000000000000000000000000000000000..7732637d2299b0e9ea2092e4d244e09cc8a21c0e
--- /dev/null
+++ b/python/paddle/fluid/tests/unittests/ngraph/test_cast_ngraph_op.py
@@ -0,0 +1,21 @@
+#   Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from __future__ import print_function
+
+import unittest
+from paddle.fluid.tests.unittests.test_cast_op import TestCastOp1
+
+if __name__ == '__main__':
+    unittest.main()