1 // Tencent is pleased to support the open source community by making ncnn available.
2 //
3 // Copyright (C) 2017 THL A29 Limited, a Tencent company. All rights reserved.
4 //
5 // Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
6 // in compliance with the License. You may obtain a copy of the License at
7 //
8 // https://opensource.org/licenses/BSD-3-Clause
9 //
10 // Unless required by applicable law or agreed to in writing, software distributed
11 // under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
12 // CONDITIONS OF ANY KIND, either express or implied. See the License for the
13 // specific language governing permissions and limitations under the License.
14
15 #include "power.h"
16
17 #include <math.h>
18
19 namespace ncnn {
20
Power()21 Power::Power()
22 {
23 one_blob_only = true;
24 support_inplace = true;
25 }
26
load_param(const ParamDict & pd)27 int Power::load_param(const ParamDict& pd)
28 {
29 power = pd.get(0, 1.f);
30 scale = pd.get(1, 1.f);
31 shift = pd.get(2, 0.f);
32
33 return 0;
34 }
35
forward_inplace(Mat & bottom_top_blob,const Option & opt) const36 int Power::forward_inplace(Mat& bottom_top_blob, const Option& opt) const
37 {
38 int w = bottom_top_blob.w;
39 int h = bottom_top_blob.h;
40 int channels = bottom_top_blob.c;
41 int size = w * h;
42
43 #pragma omp parallel for num_threads(opt.num_threads)
44 for (int q = 0; q < channels; q++)
45 {
46 float* ptr = bottom_top_blob.channel(q);
47
48 for (int i = 0; i < size; i++)
49 {
50 ptr[i] = static_cast<float>(pow((shift + ptr[i] * scale), power));
51 }
52 }
53
54 return 0;
55 }
56
57 } // namespace ncnn
58