2 * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
4 * Licensed under the Apache License, Version 2.0 (the "License");
5 * you may not use this file except in compliance with the License.
6 * You may obtain a copy of the License at
8 * http://www.apache.org/licenses/LICENSE-2.0
10 * Unless required by applicable law or agreed to in writing, software
11 * distributed under the License is distributed on an "AS IS" BASIS,
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 * See the License for the specific language governing permissions and
14 * limitations under the License.
19 #include "ONNXHelpers.h"
21 #include "mir/ops/MaxOp.h"
26 static void convertMaxGeneric(const onnx::NodeProto &onnx_node, ConverterContext *context)
28 std::vector<mir::Operation::Output *> inputs = context->getNodeInputs(onnx_node);
29 if (inputs.size() != 2)
31 throw std::runtime_error{"Unsupported number of inputs for Max operator"};
33 mir::Graph *graph = context->getGraph();
34 auto result = createOp<mir::ops::MaxOp>(graph, inputs[0], inputs[1])->getOutput(0);
36 context->setNodeOutputs(onnx_node, {result});
39 void convertMaxV1(const onnx::NodeProto &onnx_node, ConverterContext *context)
41 convertMaxGeneric(onnx_node, context);
44 void convertMaxV6(const onnx::NodeProto &onnx_node, ConverterContext *context)
46 convertMaxGeneric(onnx_node, context);
49 void convertMaxV8(const onnx::NodeProto &onnx_node, ConverterContext *context)
51 convertMaxGeneric(onnx_node, context);
54 } // namespace mir_onnx