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/*
* Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
* Copyright 2017 The TensorFlow Authors. 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 __NNFW_CKER_REFERENCE_BINARYARITHMETICOPS_H__
#define __NNFW_CKER_REFERENCE_BINARYARITHMETICOPS_H__
#include "cker/Shape.h"
#include "cker/Utils.h"
#include <cmath>
namespace nnfw
{
namespace cker
{
namespace reference
{
template <typename T>
inline void BinaryArithmeticOp(const BinaryArithmeticOpParam ¶ms, const Shape &input1_shape,
const T *input1_data, const Shape &input2_shape,
const T *input2_data, const Shape &output_shape, T *output_data,
const std::function<T(const T &, const T &)> &fn)
{
const int32_t flat_size = MatchingFlatSize(input1_shape, input2_shape, output_shape);
for (int i = 0; i < flat_size; ++i)
{
output_data[i] = ActivationFunctionWithMinMax(fn(input1_data[i], input2_data[i]),
params.quantized_activation_min,
params.quantized_activation_max);
}
}
template <>
inline void BinaryArithmeticOp(const BinaryArithmeticOpParam ¶ms, const Shape &input1_shape,
const float *input1_data, const Shape &input2_shape,
const float *input2_data, const Shape &output_shape,
float *output_data,
const std::function<float(const float &, const float &)> &fn)
{
const int size = MatchingFlatSize(input1_shape, input2_shape, output_shape);
for (int i = 0; i < size; i++)
{
output_data[i] =
ActivationFunctionWithMinMax(fn(input1_data[i], input2_data[i]),
params.float_activation_min, params.float_activation_max);
}
}
} // namespace reference
} // namespace cker
} // namespace nnfw
#endif // __NNFW_CKER_REFERENCE_BINARYARITHMETICOPS_H__
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