diff --git a/paddle/fluid/operators/ngraph/ops/lrn_op.h b/paddle/fluid/operators/ngraph/ops/lrn_op.h
new file mode 100644
index 0000000000000000000000000000000000000000..68a0eea08928ae6bfdae50bef9a3f5c2fddde9c8
--- /dev/null
+++ b/paddle/fluid/operators/ngraph/ops/lrn_op.h
@@ -0,0 +1,54 @@
+// 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 BuildLrnNode(
+    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());
+  const int n = op_attrs.Get<int>("n");
+  const float alpha = op_attrs.Get<float>("alpha") * static_cast<float>(n);
+  const float beta = op_attrs.Get<float>("beta");
+  const float k = op_attrs.Get<float>("k");
+
+  auto lrn_out = std::make_shared<ngraph::op::LRN>(input, alpha, beta, k, n);
+  std::shared_ptr<ngraph::Node> mid_out = paddle::platform::CreateConstant(
+      input->get_element_type(), input->get_shape(), {k});
+
+  platform::SetOutputNode(op, "MidOut", mid_out, ngb_node_map);
+  platform::SetOutputNode(op, "Out", lrn_out, ngb_node_map);
+}
+
+}  // namespace ngraphs
+}  // namespace operators
+}  // namespace paddle
+
+REGISTER_NG_OP(lrn, BuildLrnNode);
diff --git a/paddle/fluid/platform/ngraph_helper.h b/paddle/fluid/platform/ngraph_helper.h
index e74f57a79a66ea8fe8c9b972a9a2ec9d722731eb..9e6521653b80abec1c5212f5deb84153335c2a9c 100644
--- a/paddle/fluid/platform/ngraph_helper.h
+++ b/paddle/fluid/platform/ngraph_helper.h
@@ -16,7 +16,9 @@ limitations under the License. */
 #pragma once
 
 #include <functional>
+#include <memory>
 #include <string>
+#include <unordered_map>
 #include <vector>
 #include "ngraph/ngraph.hpp"
 
@@ -103,6 +105,25 @@ std::shared_ptr<ngraph::Node> GetOutputNode(
   return GetNode(op, name, op->Outputs(), ngb_node_map);
 }
 
+template <typename T>
+std::shared_ptr<ngraph::Node> CreateConstant(const ngraph::element::Type& type,
+                                             ngraph::Shape shape,
+                                             std::initializer_list<T> values) {
+  std::shared_ptr<ngraph::Node> result;
+  if (values.size() == 1 && shape != ngraph::Shape{} &&  // NOLINT
+      shape != ngraph::Shape{1}) {
+    result = std::make_shared<ngraph::op::Constant>(type, ngraph::Shape{},
+                                                    std::vector<T>{values});
+    ngraph::AxisSet axis_set;
+    for (size_t i = 0; i < shape.size(); ++i) axis_set.insert(i);
+    result = std::make_shared<ngraph::op::Broadcast>(result, shape, axis_set);
+  } else {
+    result = std::make_shared<ngraph::op::Constant>(type, shape,
+                                                    std::vector<T>{values});
+  }
+  return result;
+}
+
 void SetOutputNode(
     const std::shared_ptr<paddle::framework::OperatorBase>& op,
     const std::string name, std::shared_ptr<ngraph::Node> node,
diff --git a/python/paddle/fluid/tests/unittests/ngraph/test_lrn_ngraph_op.py b/python/paddle/fluid/tests/unittests/ngraph/test_lrn_ngraph_op.py
new file mode 100644
index 0000000000000000000000000000000000000000..4c998c6ca2ec3bba8d7c3257ed3fe4fddc70a46a
--- /dev/null
+++ b/python/paddle/fluid/tests/unittests/ngraph/test_lrn_ngraph_op.py
@@ -0,0 +1,29 @@
+#   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_lrn_op import TestLRNOp
+
+
+class TestLRNNGRAPHOp(TestLRNOp):
+    def test_check_output(self):
+        self.check_output(atol=0.002)
+
+
+del TestLRNOp
+
+if __name__ == '__main__':
+    unittest.main()