[ONNX] Pow operator (#1557)

Author: tsocha

src/ngraph/frontend/onnx_import/CMakeLists.txt

@@ -55,6 +55,7 @@ add_library(onnx_import STATIC
         op/mean.hpp
         op/min.hpp
         op/mul.hpp
+        op/pow.hpp
         op/relu.hpp
         op/reshape.cpp
         op/reshape.hpp

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

@@ -0,0 +1,42 @@
+//*****************************************************************************
+// 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 "ngraph/op/power.hpp"
+
+#include "core/node.hpp"
+#include "utils/broadcasting.hpp"
+
+namespace ngraph
+{
+    namespace onnx_import
+    {
+        namespace op
+        {
+            inline NodeVector pow(const Node& node)
+            {
+                NodeVector ng_inputs{
+                    numpy_style_broadcast_for_binary_operation(node.get_ng_inputs())};
+                return {std::make_shared<ngraph::op::Power>(ng_inputs.at(0), ng_inputs.at(1))};
+            }
+
+        } // namespace op
+
+    } // namespace onnx_import
+
+} // namespace ngraph

src/ngraph/frontend/onnx_import/ops_bridge.cpp

@@ -33,6 +33,7 @@
 #include "op/mean.hpp"
 #include "op/min.hpp"
 #include "op/mul.hpp"
+#include "op/pow.hpp"
 #include "op/relu.hpp"
 #include "op/reshape.hpp"
 #include "op/softmax.hpp"
@@ -101,6 +102,7 @@ namespace ngraph
                     m_map.emplace("Mean", std::bind(op::mean, std::placeholders::_1));
                     m_map.emplace("Min", std::bind(op::min, std::placeholders::_1));
                     m_map.emplace("Mul", std::bind(op::mul, std::placeholders::_1));
+                    m_map.emplace("Pow", std::bind(op::pow, std::placeholders::_1));
                     m_map.emplace("Relu", std::bind(op::relu, std::placeholders::_1));
                     m_map.emplace("Reshape", std::bind(op::reshape, std::placeholders::_1));
                     m_map.emplace("Softmax", std::bind(op::softmax, std::placeholders::_1));