ONE - On-device Neural Engine
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PALAddN.h
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1/*
2 * Copyright (c) 2023 Samsung Electronics Co., Ltd. All Rights Reserved
3 * Copyright 2020 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 LUCI_INTERPRETER_PAL_ADD_N_H
19#define LUCI_INTERPRETER_PAL_ADD_N_H
20
21#include "Params.h"
22#include "PALUtils.h"
23
25{
26
27// T is expected to be either float or int.
28template <typename T>
29inline void AddN(const size_t flat_size, const size_t num_inputs, const T *const *input_data,
30 T *output_data)
31{
32 // All inputs and output should have the same shape, this is checked during
33 // Prepare stage.
34 for (size_t i = 0; i < flat_size; ++i)
35 {
36 T x = 0;
37 for (size_t j = 0; j < num_inputs; ++j)
38 {
39 x += input_data[j][i];
40 }
41 output_data[i] = x;
42 }
43}
44
45} // namespace luci_interpreter_pal
46
47#endif // LUCI_INTERPRETER_PAL_ADD_N_H
void AddN(const size_t flat_size, const size_t num_inputs, const T *const *input_data, T *output_data)
Definition PALAddN.h:29