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+/*
+ * Copyright (c) 2018 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 "MaxPool2DNode.h"
+
+#include <cassert>
+
+#include "NodeVisitor.h"
+
+namespace neurun
+{
+namespace model
+{
+namespace operation
+{
+
+void MaxPool2DNode::accept(NodeVisitor &&v) const { v.visit(*this); }
+
+MaxPool2DNode::MaxPool2DNode(const model::operation::Node::InitParam &init_param)
+ : model::operation::Node{OperandConstraint::createExact(1u)}
+{
+ assert(init_param.input_count == 7);
+ assert(init_param.output_count == 1);
+
+ // Each input should be interpreted as follows:
+ //
+ // 0 -> IFM Tensor Index
+ // 1 -> Padding Code (ANEURALNETWORKS_PADDING_SAME or ANEURALNETWORKS_PADDING_VALID) Index
+ // 2 -> Horizontal (over width) Stride Index
+ // 3 -> Vertial (over height) Stride Index
+ // 4 -> Filter Width Index
+ // 5 -> Filter Height Index
+ // 6 -> FuseCode (activation) Index
+
+ setInputs({init_param.inputs[0]});
+ setOutputs({init_param.outputs[0]});
+
+ _param.padding_index = operand::Index{init_param.inputs[1]};
+ _param.hstride_index = operand::Index{init_param.inputs[2]};
+ _param.vstride_index = operand::Index{init_param.inputs[3]};
+
+ _param.kw_index = operand::Index{init_param.inputs[4]};
+ _param.kh_index = operand::Index{init_param.inputs[5]};
+ _param.activation_index = operand::Index{init_param.inputs[6]};
+}
+
+} // namespace operation
+} // namespace model
+} // namespace neurun