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_ARM_H
16 #define LAYER_CONVOLUTION_ARM_H
17 
18 #include "convolution.h"
19 
20 namespace ncnn {
21 
22 class Convolution_arm : virtual public Convolution
23 {
24 public:
25     Convolution_arm();
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 __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
34     int create_pipeline_fp16s(const Option& opt);
35     int forward_fp16s(const Mat& bottom_blob, Mat& top_blob, const Option& opt) const;
36     int forward_fp16sa(const Mat& bottom_blob, Mat& top_blob, const Option& opt) const;
37 #endif
38     int create_pipeline_bf16s(const Option& opt);
39     int forward_bf16s(const Mat& bottom_blob, Mat& top_blob, const Option& opt) const;
40 #if NCNN_INT8
41     int create_pipeline_int8_arm(const Option& opt);
42     int forward_int8_arm(const Mat& bottom_blob, Mat& top_blob, const Option& opt) const;
43 #endif
44     int forwardDilation_arm(const Mat& bottom_blob, Mat& top_blob, const Option& opt) const;
45 
46 public:
47     Layer* activation;
48     bool use_winograd3x3;
49     bool use_sgemm1x1;
50     Mat weight_3x3_winograd64_data;
51     Mat weight_3x3s2_data;
52     Mat weight_sgemm_data;
53 
54     // forwardDilation
55     Layer* convolution_dilation1;
56 
57     // pack4
58     Mat weight_data_pack4;
59     Mat weight_data_pack1to4;
60     Mat weight_data_pack4to1;
61 
62     Mat weight_3x3_winograd42_data_pack4;
63     Mat weight_sgemm_data_pack4;
64 
65     // fp16
66     Mat weight_data_fp16;
67     Mat bias_data_fp16;
68 
69     // bf16
70     Mat weight_data_bf16;
71 
72 #if NCNN_INT8
73     // int8
74     Mat weight_data_int8;
75 
76     //     Mat weight_3x3s2_data_int8;
77     std::vector<Mat> weight_3x3_winograd23_data_int8;
78 #endif
79 };
80 
81 } // namespace ncnn
82 
83 #endif // LAYER_CONVOLUTION_ARM_H
84