// Tencent is pleased to support the open source community by making ncnn available. // // Copyright (C) 2017 THL A29 Limited, a Tencent company. All rights reserved. // // Licensed under the BSD 3-Clause License (the "License"); you may not use this file except // in compliance with the License. You may obtain a copy of the License at // // https://opensource.org/licenses/BSD-3-Clause // // Unless required by applicable law or agreed to in writing, software distributed // under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR // CONDITIONS OF ANY KIND, either express or implied. See the License for the // specific language governing permissions and limitations under the License. #include "prelu.h" namespace ncnn { DEFINE_LAYER_CREATOR(PReLU) PReLU::PReLU() { one_blob_only = true; support_inplace = true; } int PReLU::load_param(const ParamDict& pd) { num_slope = pd.get(0, 0); return 0; } int PReLU::load_model(const ModelBin& mb) { slope_data = mb.load(num_slope, 1); if (slope_data.empty()) return -100; return 0; } int PReLU::forward_inplace(Mat& bottom_top_blob, const Option& opt) const { int dims = bottom_top_blob.dims; if (dims == 1) { int w = bottom_top_blob.w; float* ptr = bottom_top_blob; if (num_slope > 1) { #pragma omp parallel for num_threads(opt.num_threads) for (int i=0; i 1 ? slope_data[i] : slope_data[0]; for (int j=0; j 1 ? slope_data[q] : slope_data[0]; for (int i=0; i