Enable mean operator for a ngraph

test=develop

paddle/fluid/framework/ngraph_bridge.cc

@@ -32,6 +32,8 @@ std::map<std::string,
                                 std::string, std::shared_ptr<ngraph::Node>>>)>>
     NgraphBridge::NG_NODE_MAP = {
         {"fill_constant", paddle::operators::ngraphs::BuildFillConstantNode},
+        {"mean", paddle::operators::ngraphs::BuildMeanNode},
+        {"mean_grad", paddle::operators::ngraphs::BuildMeanGradNode},
         {"mul", paddle::operators::ngraphs::BuildMulNode},
         {"mul_grad", paddle::operators::ngraphs::BuildMulGradNode},
         {"relu", paddle::operators::ngraphs::BuildUnaryNode<ngraph::op::Relu>},

paddle/fluid/operators/ngraph/ngraph_ops.h

@@ -23,5 +23,6 @@ limitations under the License. */
 
 #include "ops/binary_unnary_op.h"
 #include "ops/fill_constant_op.h"
+#include "ops/mean_op.h"
 #include "ops/mul_op.h"
 #include "ops/top_k_op.h"

paddle/fluid/operators/ngraph/ops/elementwise_scalar_op.h

+/*Copyright (c) 2018 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. */
+
+#ifdef PADDLE_WITH_NGRAPH
+#pragma once
+
+#include <string>
+#include "ngraph/ngraph.hpp"
+#include "paddle/fluid/platform/ngraph_helper.h"
+
+namespace paddle {
+namespace operators {
+namespace ngraphs {
+
+template <typename T>
+std::shared_ptr<ngraph::Node> ElementwiseScalar(
+    float scale, std::shared_ptr<ngraph::Node> node) {
+  auto node_shape = node->get_shape();
+  auto scale_const = ngraph::op::Constant::create(node->get_element_type(),
+                                                  node_shape, {scale});
+  return std::make_shared<T>(scale_const, node);
+}
+
+template <typename T>
+std::shared_ptr<ngraph::Node> ElementwiseScalar(
+    std::shared_ptr<ngraph::Node> scale_1d,
+    std::shared_ptr<ngraph::Node> node) {
+  auto scale_shape = scale_1d->get_shape();
+  PADDLE_ENFORCE_EQ(scale_shape.size(), 1, "Supporting 1d scale node");
+  PADDLE_ENFORCE_EQ(scale_shape.at(0), 1, "scale 1d in in shape {1}");
+
+  auto node_shape = node->get_shape();
+  ngraph::AxisSet axis_set;
+  for (size_t i = 0; i < node_shape.size(); ++i) {
+    axis_set.insert(i);
+  }
+  node_shape.push_back(1);
+
+  auto scale_bcast =
+      std::make_shared<ngraph::op::Broadcast>(scale_1d, node_shape, axis_set);
+
+  auto scale_reshape =
+      paddle::platform::NgReshaper(scale_bcast, node->get_shape());
+
+  return std::make_shared<T>(scale_reshape, node);
+}
+}  // namespace ngraphs
+}  // namespace operators
+}  // namespace paddle
+#endif

paddle/fluid/operators/ngraph/ops/mean_op.h

+/*Copyright (c) 2018 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. */
+
+#ifdef PADDLE_WITH_NGRAPH
+#pragma once
+
+#include <functional>
+#include <string>
+
+#include "ngraph/ngraph.hpp"
+#include "paddle/fluid/operators/ngraph/ops/elementwise_scalar_op.h"
+#include "paddle/fluid/platform/ngraph_helper.h"
+
+namespace paddle {
+namespace operators {
+namespace ngraphs {
+
+void BuildMeanNode(
+    const std::shared_ptr<paddle::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, "X", ngb_node_map);
+  ngraph::AxisSet axes;
+  for (size_t i = 0; i < input->get_shape().size(); ++i) {
+    axes.insert(i);
+  }
+
+  auto mean = ngraph::builder::mean(input, axes);
+  auto mean_1d = std::make_shared<ngraph::op::Reshape>(
+      mean, ngraph::AxisVector{}, ngraph::Shape{1});
+  paddle::platform::SetOutputNode(op, "Out", mean_1d, ngb_node_map);
+}
+
+void BuildMeanGradNode(
+    const std::shared_ptr<paddle::framework::OperatorBase>& op,
+    std::shared_ptr<
+        std::unordered_map<std::string, std::shared_ptr<ngraph::Node>>>
+        ngb_node_map) {
+  auto x = paddle::platform::GetInputNode(op, "X", ngb_node_map);
+  auto og = paddle::platform::GetInputNode(op, "Out@GRAD", ngb_node_map);
+  auto x_shape = x->get_shape();
+  float x_size = std::accumulate(std::begin(x_shape), std::end(x_shape), 1,
+                                 std::multiplies<float>());
+  auto node_const = ngraph::op::Constant::create(og->get_element_type(),
+                                                 ngraph::Shape{1}, {x_size});
+  auto node_div = std::make_shared<ngraph::op::Divide>(og, node_const);
+
+  auto result = ElementwiseScalar<ngraph::op::Add>(
+      og / node_const,
+      ngraph::op::Constant::create(og->get_element_type(), x_shape, {0}));
+  paddle::platform::SetOutputNode(op, "X@GRAD", result, ngb_node_map);
+}
+}  // namespace ngraphs
+}  // namespace operators
+}  // namespace paddle
+#endif

python/paddle/fluid/tests/unittests/ngraph/test_mean_ngraph_op.py

+# Copyright (c) 2018 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_mean_op import TestMeanOp, TestFP16MeanOp
+
+
+class TestNGRAPHMeanOp(TestMeanOp):
+    def setUp(self):
+        super(TestNGRAPHMeanOp, self).setUp()
+
+
+class TestNGRAPHFP16MeanOp(TestFP16MeanOp):
+    def setUp(self):
+        super(TestNGRAPHFP16MeanOp, self).setUp()
+
+
+if __name__ == "__main__":
+    unittest.main()