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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
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