diff --git a/paddle/fluid/operators/ngraph/ops/slice_op.h b/paddle/fluid/operators/ngraph/ops/slice_op.h
new file mode 100644
index 0000000000000000000000000000000000000000..1ae4d198c23b7f92ebb571c6ef576a8c2a7e0feb
--- /dev/null
+++ b/paddle/fluid/operators/ngraph/ops/slice_op.h
@@ -0,0 +1,111 @@
+/*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 <algorithm>
+#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 {
+
+void BuildSliceNode(
+    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 = paddle::platform::GetInputNode(op, "Input", ngb_node_map);
+  auto input_shape = input->get_shape();
+  auto op_attrs = framework::AttrReader(op->Attrs());
+  auto axes = op_attrs.Get<std::vector<int>>("axes");
+  auto starts = op_attrs.Get<std::vector<int>>("starts");
+  auto ends = op_attrs.Get<std::vector<int>>("ends");
+  ngraph::Coordinate ng_start, ng_end;
+  int axis, start, end;
+  for (size_t i = 0; i < input_shape.size(); ++i) {
+    ng_start.push_back(0);
+    ng_end.push_back(input_shape[i]);
+  }
+  for (size_t i = 0; i < axes.size(); ++i) {
+    axis = input_shape[axes[i]];
+    start = starts[i] < 0 ? (starts[i] + axis) : starts[i];
+    end = ends[i] < 0 ? (ends[i] + axis) : ends[i];
+    start = std::max(start, 0);
+    end = std::max(end, 0);
+    start = std::min(start, axis);
+    end = std::min(end, axis);
+    start = std::min(start, end);
+    ng_start[axes[i]] = start;
+    ng_end[axes[i]] = end;
+  }
+  auto out = std::make_shared<ngraph::op::Slice>(input, ng_start, ng_end);
+  platform::SetOutputNode(op, "Out", out, ngb_node_map);
+}
+void BuildSliceGradNode(
+    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 = paddle::platform::GetInputNode(op, "Input", ngb_node_map);
+  auto input_shape = input->get_shape();
+  auto dout = paddle::platform::GetInputNode(op, "Out@GRAD", ngb_node_map);
+  auto op_attrs = framework::AttrReader(op->Attrs());
+  auto axes = op_attrs.Get<std::vector<int>>("axes");
+  auto starts = op_attrs.Get<std::vector<int>>("starts");
+  auto ends = op_attrs.Get<std::vector<int>>("ends");
+  auto reshape = input_shape;
+  ngraph::Coordinate ng_start, ng_end;
+  int axis, start, end;
+  for (size_t i = 0; i < input_shape.size(); ++i) {
+    ng_start.push_back(0);
+    ng_end.push_back(input_shape[i]);
+  }
+  for (size_t i = 0; i < axes.size(); ++i) {
+    axis = input_shape[axes[i]];
+    start = starts[i] < 0 ? (starts[i] + axis) : starts[i];
+    end = ends[i] < 0 ? (ends[i] + axis) : ends[i];
+    start = std::max(start, 0);
+    end = std::max(end, 0);
+    start = std::min(start, axis);
+    end = std::min(end, axis);
+    start = std::min(start, end);
+    ng_start[axes[i]] = start;
+    ng_end[axes[i]] = end;
+    reshape[axes[i]] = end - start;
+  }
+  std::vector<size_t> axisVec(dout->get_shape().size());
+  std::iota(axisVec.begin(), axisVec.end(), 0);
+  auto dout_reshape = std::make_shared<ngraph::op::Reshape>(
+      dout, ngraph::AxisVector(axisVec), reshape);
+
+  std::shared_ptr<ngraph::Node> input0 = paddle::platform::CreateConstant(
+      dout->get_element_type(), input_shape, {0});
+
+  auto din = std::make_shared<ngraph::op::ReplaceSlice>(input0, dout_reshape,
+                                                        ng_start, ng_end);
+  platform::SetOutputNode(op, "Input@GRAD", din, ngb_node_map);
+}
+}  // namespace ngraphs
+}  // namespace operators
+}  // namespace paddle
+
+REGISTER_NG_OP(slice, BuildSliceNode);
+REGISTER_NG_OP(slice_grad, BuildSliceGradNode);
diff --git a/python/paddle/fluid/tests/unittests/ngraph/test_slice_ngraph_op.py b/python/paddle/fluid/tests/unittests/ngraph/test_slice_ngraph_op.py
new file mode 100644
index 0000000000000000000000000000000000000000..dc41e8a98a797bb3ad8bf503694bcee12fdf840c
--- /dev/null
+++ b/python/paddle/fluid/tests/unittests/ngraph/test_slice_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_slice_op import TestSliceOp, TestCase1, TestCase2
+
+if __name__ == '__main__':
+    unittest.main()