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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.
*/
/**
* @file Diff.h
* @ingroup COM_AI_RUNTIME
* @brief This file contains nnfw::misc::tensor::Diff struct
*/
#ifndef __NNFW_MISC_TENSOR_DIFF_H__
#define __NNFW_MISC_TENSOR_DIFF_H__
#include "misc/tensor/Index.h"
namespace nnfw
{
namespace misc
{
namespace tensor
{
/**
* @brief Struct to have information after comparing two elements of two tensors
*/
template <typename T> struct Diff
{
Index index; /**< Index of elements in two tensors, which turn out to be different */
T expected; /**< Expected value of element of first tensor */
T obtained; /**< Obtained value of element of second tensor */
/**
* @brief Construct a new @c Diff object
* @param[in] i Initial value of index
*/
Diff(const Index &i) : index(i)
{
// DO NOTHING
}
/**
* @brief Construct a new @c Diff object
* @param[in] i Index value
* @param[in] e Expected value of element of first tensor
* @param[in] o Obtained value of element of second tensor
*/
Diff(const Index &i, const T &e, const T &o) : index(i), expected{e}, obtained{o}
{
// DO NOTHING
}
};
} // namespace tensor
} // namespace misc
} // namespace nnfw
#endif // __NNFW_MISC_TENSOR_DIFF_H__
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