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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.
*/
#ifndef __NEURUN_MODEL_OPERATION_TRANSPOSE_NODE_H__
#define __NEURUN_MODEL_OPERATION_TRANSPOSE_NODE_H__
#include "model/Operation.h"
#include <utility>
namespace neurun
{
namespace model
{
namespace operation
{
class TransposeNode : public model::Operation
{
public:
enum Input
{
INPUT = 0, // for an n-D tensor, specifying the tensor to be transposed.
};
struct Param
{
// permutation vector is optional.
// if permutation vector is provided, set perm.first to true
// if permutation vector is NOT provided, set perm.first to false
OperandIndex perm;
};
public:
TransposeNode(const OperandIndexSequence &inputs, const OperandIndexSequence &outputs,
const Param ¶m);
public:
void accept(OperationVisitor &v) const override;
std::string getName() const override { return "Transpose"; }
public:
const Param ¶m() const { return _param; }
private:
Param _param;
};
} // namespace operation
} // namespace model
} // namespace neurun
#endif // __NEURUN_MODEL_OPERATION_TRANSPOSE_H__
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