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