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/*
* Copyright (c) 2019 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_LOGISTIC_H__
#define __NNFW_CKER_LOGISTIC_H__
#include "cker/Shape.h"
#include "cker/eigen/Utils.h"
#include <cmath>
#include <Eigen/Core>
namespace nnfw
{
namespace cker
{
inline void Logistic(const Shape &input_shape, const float *input_data, const Shape &output_shape,
float *output_data)
{
auto input_map = MapAsVector(input_data, input_shape);
auto output_map = MapAsVector(output_data, output_shape);
output_map.array() = input_map.array().unaryExpr(Eigen::internal::scalar_logistic_op<float>());
}
} // namespace cker
} // namespace nnfw
#endif // __NNFW_CKER_LOGISTIC_H__
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