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