ncnn
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 "relu.h"16
17namespace ncnn {18
19ReLU::ReLU()20{
21one_blob_only = true;22support_inplace = true;23}
24
25int ReLU::load_param(const ParamDict& pd)26{
27slope = pd.get(0, 0.f);28
29return 0;30}
31
32int ReLU::forward_inplace(Mat& bottom_top_blob, const Option& opt) const33{
34int w = bottom_top_blob.w;35int h = bottom_top_blob.h;36int d = bottom_top_blob.d;37int channels = bottom_top_blob.c;38int size = w * h * d;39
40if (slope == 0.f)41{42#pragma omp parallel for num_threads(opt.num_threads)43for (int q = 0; q < channels; q++)44{45float* ptr = bottom_top_blob.channel(q);46
47for (int i = 0; i < size; i++)48{49if (ptr[i] < 0)50ptr[i] = 0;51}52}53}54else55{56#pragma omp parallel for num_threads(opt.num_threads)57for (int q = 0; q < channels; q++)58{59float* ptr = bottom_top_blob.channel(q);60
61for (int i = 0; i < size; i++)62{63if (ptr[i] < 0)64ptr[i] *= slope;65}66}67}68
69return 0;70}
71
72} // namespace ncnn73