[ONNX] LRN op (#1645)

* [ONNX] LRN op

* Review fix pt. 1

src/ngraph/frontend/onnx_import/CMakeLists.txt

@@ -67,6 +67,8 @@ add_library(onnx_import STATIC
         op/less.hpp
         op/log.hpp
         op/log_softmax.hpp
+        op/lrn.cpp
+        op/lrn.hpp
         op/matmul.hpp
         op/max_pool.cpp
         op/max_pool.hpp

src/ngraph/frontend/onnx_import/op/lrn.cpp

+//*****************************************************************************
+// Copyright 2017-2018 Intel Corporation
+//
+// 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.
+//*****************************************************************************
+
+#include <memory>
+
+#include "ngraph/op/lrn.hpp"
+
+#include "core/node.hpp"
+#include "lrn.hpp"
+
+namespace ngraph
+{
+    namespace onnx_import
+    {
+        namespace op
+        {
+            NodeVector lrn(const Node& node)
+            {
+                auto data = node.get_ng_inputs().at(0);
+                double alpha = node.get_attribute_value<double>("alpha", 1e-4);
+                double beta = node.get_attribute_value<double>("beta", 0.75);
+                double bias = node.get_attribute_value<double>("bias", 1);
+                size_t size = node.get_attribute_value<size_t>("size");
+
+                return {std::make_shared<ngraph::op::LRN>(data, alpha, beta, bias, size)};
+            }
+
+        } // namespace op
+
+    } // namespace onnx_import
+
+} // namespace ngraph

src/ngraph/frontend/onnx_import/op/lrn.hpp

+//*****************************************************************************
+// Copyright 2017-2018 Intel Corporation
+//
+// 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 "ngraph/node_vector.hpp"
+
+#include "core/node.hpp"
+
+namespace ngraph
+{
+    namespace onnx_import
+    {
+        namespace op
+        {
+            NodeVector lrn(const Node& node);
+        } // namespace op
+
+    } // namespace onnx_import
+
+} // namespace ngraph

src/ngraph/frontend/onnx_import/ops_bridge.cpp

@@ -43,6 +43,7 @@
 #include "op/less.hpp"
 #include "op/log.hpp"
 #include "op/log_softmax.hpp"
+#include "op/lrn.hpp"
 #include "op/matmul.hpp"
 #include "op/max.hpp"
 #include "op/max_pool.hpp"
@@ -147,6 +148,7 @@ namespace ngraph
                     m_map.emplace("Less", std::bind(op::less, std::placeholders::_1));
                     m_map.emplace("Log", std::bind(op::log, std::placeholders::_1));
                     m_map.emplace("LogSoftmax", std::bind(op::log_softmax, std::placeholders::_1));
+                    m_map.emplace("LRN", std::bind(op::lrn, std::placeholders::_1));
                     m_map.emplace("MatMul", std::bind(op::matmul, std::placeholders::_1));
                     m_map.emplace("MaxPool", std::bind(op::max_pool, std::placeholders::_1));
                     m_map.emplace("Max", std::bind(op::max, std::placeholders::_1));