shiftNet/weights.h at AWS · max2ma/shiftNet · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
#pragma once
#include "para.h"
using namespace para;
namespace net{
	static const int EXP = 1;

	static const int CHAN_0 = 16;
	static const int CHAN_1 = 32;
	static const int CHAN_2 = 64;

	static const int DIM_0 = 32;
	static const int DIM_1 = 16;
	static const int DIM_2 = 8;
	static const int REX = 16;

	const DataType kernel[3][3][C][CHAN_0] = {
#include "t_k"
	};
	const DataType bias0[CHAN_0]={
#include "bias0"
	};
	//BLOCK 0
	const DataType p0_0[CHAN_0][CHAN_0 * EXP]={
#include "p0_0"
	};
	const DataType p1_0[CHAN_0 * EXP][CHAN_0]={
#include "p1_0"
	};
	const DataType bias0_0[CHAN_0 * EXP]={
#include "bias0_0"
	};
	const DataType bias1_0[CHAN_0]={
#include "bias1_0"
	};

	//BLOCK 1
	const DataType p0_1[CHAN_0][CHAN_0 * EXP]={
#include "p0_1"
	};
	const DataType p1_1[CHAN_0 * EXP][CHAN_0]={
#include "p1_1"
	};
	const DataType bias0_1[CHAN_0 * EXP]={
#include "bias0_1"
	};
	const DataType bias1_1[CHAN_0]={
#include "bias1_1"
	};

	//BLOCK 2
	const DataType p0_2[CHAN_0][CHAN_0]={
#include "p0_2"
	};
	const DataType p1_2[CHAN_0][CHAN_0]={
#include "p1_2"
	};
	const DataType bias0_2[CHAN_0 * EXP]={
#include "bias0_2"
	};
	const DataType bias1_2[CHAN_0]={
#include "bias1_2"
	};

	// GROUP 2
	//BLOCK 3
	const DataType p0_3[CHAN_0][CHAN_1]={
#include "p0_3"
	};
	const DataType p1_3[CHAN_1][CHAN_1]={
#include "p1_3"
	};
	const DataType p2_3[CHAN_0][CHAN_1]={
#include "p2_3"
	};
	const DataType bias0_3[CHAN_1 * EXP]={
#include "bias0_3"
	};
	const DataType bias1_3[CHAN_1]={
#include "bias1_3"
	};
	const DataType bias2_3[CHAN_1]={
#include "bias2_3"
	};
	//BLOCK 4
	const DataType p0_4[CHAN_1][CHAN_1]={
#include "p0_4"
	};
	const DataType p1_4[CHAN_1][CHAN_1]={
#include "p1_4"
	};
	const DataType bias0_4[CHAN_1 * EXP]={
#include "bias0_4"
	};
	const DataType bias1_4[CHAN_1]={
#include "bias1_4"
	};
	//BLOCK 5
	const DataType p0_5[CHAN_1][CHAN_1]={
#include "p0_5"
	};
	const DataType p1_5[CHAN_1][CHAN_1]={
#include "p1_5"
	};
	const DataType bias0_5[CHAN_1 * EXP]={
#include "bias0_5"
	};
	const DataType bias1_5[CHAN_1]={
#include "bias1_5"
	};
	//GROUP 3
	//BLOCK 6
	const DataType p0_6[CHAN_1][CHAN_2]={
#include "p0_6"
	};
	const DataType p1_6[CHAN_2][CHAN_2]={
#include "p1_6"
	};
	const DataType p2_6[CHAN_1][CHAN_2]={
#include "p2_6"
	};
	const DataType bias0_6[CHAN_2 * EXP]={
#include "bias0_6"
	};
	const DataType bias1_6[CHAN_2]={
#include "bias1_6"
	};
	const DataType bias2_6[CHAN_2]={
#include "bias2_6"
	};
	//BLOCK 7
	const DataType p0_7[CHAN_2][CHAN_2]={
#include "p0_7"
	};
	const DataType p1_7[CHAN_2][CHAN_2]={
#include "p1_7"
	};
	const DataType bias0_7[CHAN_2 * EXP]={
#include "bias0_7"
	};
	const DataType bias1_7[CHAN_2]={
#include "bias1_7"
	};
	//BLOCK 8
	const DataType p0_8[CHAN_2][CHAN_2]={
#include "p0_8"
	};
	const DataType p1_8[CHAN_2][CHAN_2]={
#include "p1_8"
	};
	const DataType bias0_8[CHAN_2 * EXP]={
#include "bias0_8"
	};
	const DataType bias1_8[CHAN_2]={
#include "bias1_8"
	};

	const DataType p_9[DIM_2 * DIM_2* CHAN_2][N]={
#include "p_9"
	};
	const DataType bias_9[N]={
#include "bias_9"
	};
}