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 #ifndef LAYER_CONVOLUTIONDEPTHWISE_X86_H 16 #define LAYER_CONVOLUTIONDEPTHWISE_X86_H 17 18 #include "convolutiondepthwise.h" 19 20 namespace ncnn { 21 22 class ConvolutionDepthWise_x86 : virtual public ConvolutionDepthWise 23 { 24 public: 25 ConvolutionDepthWise_x86(); 26 27 virtual int create_pipeline(const Option& opt); 28 virtual int destroy_pipeline(const Option& opt); 29 30 virtual int forward(const Mat& bottom_blob, Mat& top_blob, const Option& opt) const; 31 32 protected: 33 int create_group_ops(const Option& opt); 34 #if NCNN_INT8 35 int create_pipeline_int8_x86(const Option& opt); 36 int forward_int8_x86(const Mat& bottom_blob, Mat& top_blob, const Option& opt) const; 37 #endif 38 39 public: 40 Layer* activation; 41 std::vector<ncnn::Layer*> group_ops; 42 43 // packing 44 Mat weight_data_packed; 45 46 #if NCNN_INT8 47 // int8 48 Mat weight_data_int8; 49 #endif 50 }; 51 52 } // namespace ncnn 53 54 #endif // LAYER_CONVOLUTIONDEPTHWISE_X86_H 55