ONE - On-device Neural Engine
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Pow.h
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1/*
2 * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
3 * Copyright 2017 The TensorFlow Authors. All Rights Reserved.
4 *
5 * Licensed under the Apache License, Version 2.0 (the "License");
6 * you may not use this file except in compliance with the License.
7 * You may obtain a copy of the License at
8 *
9 * http://www.apache.org/licenses/LICENSE-2.0
10 *
11 * Unless required by applicable law or agreed to in writing, software
12 * distributed under the License is distributed on an "AS IS" BASIS,
13 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14 * See the License for the specific language governing permissions and
15 * limitations under the License.
16 */
17
18#ifndef __NNFW_CKER_POW_H__
19#define __NNFW_CKER_POW_H__
20
21#include "cker/Shape.h"
22
23#include <cmath>
24
25namespace nnfw
26{
27namespace cker
28{
29
30template <typename T>
31inline void powImpl(const Shape &input1_shape, const T *input1_data, const Shape &input2_shape,
32 const T *input2_data, const Shape &output_shape, T *output_data)
33{
34 const int flat_size = MatchingFlatSize(input1_shape, input2_shape, output_shape);
35 for (int i = 0; i < flat_size; ++i)
36 {
37 output_data[i] = std::pow(input1_data[i], input2_data[i]);
38 }
39}
40
41} // namespace cker
42} // namespace nnfw
43
44#endif // __NNFW_CKER_POW_H__
const luci_interpreter::RuntimeShape output_shape
void powImpl(const Shape &input1_shape, const T *input1_data, const Shape &input2_shape, const T *input2_data, const Shape &output_shape, T *output_data)
Definition Pow.h:31
int MatchingFlatSize(const Shape &shape, Ts... check_shapes)
Definition Shape.h:297
Definition topk_v2.h:30