ONE - On-device Neural Engine
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LeakyReLU.h
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1/*
2 * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
3 * Copyright 2018 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_LEKAY_RELU_H__
19#define __NNFW_CKER_LEKAY_RELU_H__
20
21#include "cker/Shape.h"
22#include "cker/Types.h"
23
24#include <cmath>
25
26namespace nnfw
27{
28namespace cker
29{
30
31inline void LeakyReLU(const LeakyReluParams &params, const Shape &input_shape,
32 const float *input_data, const Shape &output_shape, float *output_data)
33{
34 const int flat_size = MatchingFlatSize(input_shape, output_shape);
35
36 for (int i = 0; i < flat_size; i++)
37 {
38 const float val = input_data[i];
39 // Note that alpha might be > 1 or < 0, so we don't use std::max here.
40 output_data[i] = val > 0 ? val : val * params.alpha;
41 }
42}
43
44} // namespace cker
45} // namespace nnfw
46
47#endif // __NNFW_CKER_RELU_H__
const luci_interpreter::RuntimeShape output_shape
void LeakyReLU(const LeakyReluParams &params, const Shape &input_shape, const float *input_data, const Shape &output_shape, float *output_data)
Definition LeakyReLU.h:31
int MatchingFlatSize(const Shape &shape, Ts... check_shapes)
Definition Shape.h:297
Definition topk_v2.h:30