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_CONVOLUTION_X86_H 16 #define LAYER_CONVOLUTION_X86_H 17 18 #include "convolution.h" 19 20 namespace ncnn { 21 22 class Convolution_x86 : virtual public Convolution 23 { 24 public: 25 Convolution_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 #if NCNN_INT8 34 int create_pipeline_int8_x86(const Option& opt); 35 int forward_int8_x86(const Mat& bottom_blob, Mat& top_blob, const Option& opt) const; 36 #endif 37 int forwardDilation_x86(const Mat& bottom_blob, Mat& top_blob, const Option& opt) const; 38 39 public: 40 Layer* activation; 41 Mat weight_3x3_winograd23_data; 42 Mat weight_sgemm_data; 43 std::vector<Mat> weight_3x3_winograd43_data; 44 45 // forwardDilation 46 Layer* convolution_dilation1; 47 48 Mat weight_data_packed; 49 50 Mat weight_3x3_winograd64_data_pack8; 51 52 #if NCNN_INT8 53 // int8 54 Mat weight_data_int8; 55 Mat weight_3x3_winograd23_data_int8; 56 #endif 57 }; 58 59 } // namespace ncnn 60 61 #endif // LAYER_CONVOLUTION_X86_H 62