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-rw-r--r--compiler/mir-onnx-importer/Op/Add.cpp53
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diff --git a/compiler/mir-onnx-importer/Op/Add.cpp b/compiler/mir-onnx-importer/Op/Add.cpp
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+++ b/compiler/mir-onnx-importer/Op/Add.cpp
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+/*
+ * Copyright (c) 2019 Samsung Electronics Co., Ltd. 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.
+ */
+
+#include "Add.h"
+
+#include "ONNXHelpers.h"
+#include "AttributeHelpers.h"
+
+#include "mir/ops/AddOp.h"
+
+namespace mir_onnx
+{
+
+void convertAddV1(const onnx::NodeProto &onnx_node, ConverterContext *context)
+{
+ // consumed_inputs attribute not used
+ convertAddV6(onnx_node, context);
+}
+
+void convertAddV6(const onnx::NodeProto &onnx_node, ConverterContext *context)
+{
+ // broadcast attribute not used
+ const auto *axis = findAttribute(onnx_node, "axis");
+ if (axis != nullptr)
+ throw std::runtime_error("Not supported axis attribute in Add operation!");
+
+ convertAddV7(onnx_node, context);
+}
+
+void convertAddV7(const onnx::NodeProto &onnx_node, ConverterContext *context)
+{
+ std::vector<mir::Operation::Output *> inputs = context->getNodeInputs(onnx_node);
+ mir::Graph *graph = context->getGraph();
+
+ auto result = createOp<mir::ops::AddOp>(graph, inputs[0], inputs[1])->getOutput(0);
+
+ context->setNodeOutputs(onnx_node, {result});
+}
+
+} // namespace mir_onnx