diff --git a/paddle/fluid/operators/ngraph/ops/transpose_op.h b/paddle/fluid/operators/ngraph/ops/transpose_op.h
new file mode 100644
index 0000000000000000000000000000000000000000..2d4e49f79b18e8f064d28a6f5fc88884ab7d050e
--- /dev/null
+++ b/paddle/fluid/operators/ngraph/ops/transpose_op.h
@@ -0,0 +1,92 @@
+/*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 <vector>
+
+#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 {
+
+template <bool is_v2>
+static void BuildTransposeNode(
+    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());
+  std::vector<int> axis = op_attrs.Get<std::vector<int>>("axis");
+
+  auto input_shape = input->get_shape();
+  ngraph::Shape x_reshape_shape;
+  ngraph::AxisVector axis_vec;
+  for (auto& v : axis) {
+    axis_vec.push_back(v);
+    x_reshape_shape.push_back(input_shape[v]);
+  }
+  std::shared_ptr<ngraph::Node> x_transpose =
+      std::make_shared<ngraph::op::Reshape>(input, axis_vec, input_shape);
+  x_transpose = platform::NgReshaper(x_transpose, x_reshape_shape);
+  platform::SetOutputNode(op, "Out", x_transpose, ngb_node_map);
+  if (is_v2) {
+    platform::SetOutputNode(op, "XShape", input, ngb_node_map);
+  }
+}
+
+template <bool is_v2>
+static void BuildTransposeGradNode(
+    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());
+  std::vector<int> axis = op_attrs.Get<std::vector<int>>("axis");
+
+  ngraph::AxisVector axis_vec(axis.size());
+  for (size_t i = 0; i < axis.size(); ++i) {
+    axis_vec[axis.at(i)] = i;
+  }
+
+  ngraph::Shape out_shape;
+  if (is_v2) {
+    out_shape = platform::GetInputNode(op, "XShape", ngb_node_map)->get_shape();
+  } else {
+    out_shape = platform::GetInputNode(op, "X", ngb_node_map)->get_shape();
+  }
+
+  std::shared_ptr<ngraph::Node> x_transpose =
+      std::make_shared<ngraph::op::Reshape>(input, axis_vec, out_shape);
+
+  platform::SetOutputNode(op, "X@GRAD", x_transpose, ngb_node_map);
+}
+
+}  // namespace ngraphs
+}  // namespace operators
+}  // namespace paddle
+
+REGISTER_NG_OP(transpose, BuildTransposeNode<false>);
+REGISTER_NG_OP(transpose_grad, BuildTransposeGradNode<false>);
+REGISTER_NG_OP(transpose2, BuildTransposeNode<true>);
+REGISTER_NG_OP(transpose2_grad, BuildTransposeGradNode<true>);
diff --git a/python/paddle/fluid/tests/unittests/ngraph/test_transpose_ngraph_op.py b/python/paddle/fluid/tests/unittests/ngraph/test_transpose_ngraph_op.py
new file mode 100644
index 0000000000000000000000000000000000000000..27bf82fc5983b25569962ae2347391a3cf0e3b7b
--- /dev/null
+++ b/python/paddle/fluid/tests/unittests/ngraph/test_transpose_ngraph_op.py
@@ -0,0 +1,22 @@
+#   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, sys
+sys.path.append("../")
+from test_transpose_op import TestTransposeOp, TestCase0, TestCase1, TestCase2, TestCase3, TestCase4
+
+if __name__ == '__main__':
+    unittest.main()