-
Notifications
You must be signed in to change notification settings - Fork 2
/
mylogfile
149 lines (132 loc) · 4.7 KB
/
mylogfile
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
./run.sh
OPENCL ACTIVATED
NOTE: This GSX library has the time limitation by reason of an evaluation module.
INFO: complete to make CL properties
layer filters size input output
0 conv 16 3 x 3 / 1 416 x 416 x 3 -> 416 x 416 x 16
1 max 2 x 2 / 2 416 x 416 x 16 -> 208 x 208 x 16
2 conv 32 3 x 3 / 1 208 x 208 x 16 -> 208 x 208 x 32
3 max 2 x 2 / 2 208 x 208 x 32 -> 104 x 104 x 32
4 conv 64 3 x 3 / 1 104 x 104 x 32 -> 104 x 104 x 64
5 max 2 x 2 / 2 104 x 104 x 64 -> 52 x 52 x 64
6 conv 128 3 x 3 / 1 52 x 52 x 64 -> 52 x 52 x 128
7 max 2 x 2 / 2 52 x 52 x 128 -> 26 x 26 x 128
8 conv 256 3 x 3 / 1 26 x 26 x 128 -> 26 x 26 x 256
9 max 2 x 2 / 2 26 x 26 x 256 -> 13 x 13 x 256
10 conv 512 3 x 3 / 1 13 x 13 x 256 -> 13 x 13 x 512
11 max 2 x 2 / 1 13 x 13 x 512 -> 13 x 13 x 512
12 conv 1024 3 x 3 / 1 13 x 13 x 512 -> 13 x 13 x1024
13 conv 512 3 x 3 / 1 13 x 13 x1024 -> 13 x 13 x 512
14 conv 425 1 x 1 / 1 13 x 13 x 512 -> 13 x 13 x 425
15 detection
mask_scale: Using default '1.000000'
workspace_size: 24920064
sizeof(float): 4
Loading weights from tiny-yolo.weights...Done!
layer_0 : <forward_convolutional_layer>
gws : 416 416 16
m : 16, k : 27
copy to device time : 0.002795 sec
execution time : 0.046690 sec
copy from gpu time : 0.032427 sec
conv ocl time : 0.081948 sec
l.workspace_size: 18690048
layer 0: Predicted in 0.082006 seconds.
layer_1 : <forward_maxpool_layer>
l.workspace_size: 0
layer 1: Predicted in 0.047530 seconds.
layer_2 : <forward_convolutional_layer>
gws : 208 208 32
m : 32, k : 144
copy to device time : 0.003114 sec
execution time : 0.109153 sec
copy from gpu time : 0.017245 sec
conv ocl time : 0.129544 sec
l.workspace_size: 24920064
layer 2: Predicted in 0.129580 seconds.
layer_3 : <forward_maxpool_layer>
l.workspace_size: 0
layer 3: Predicted in 0.024179 seconds.
layer_4 : <forward_convolutional_layer>
gws : 104 104 64
m : 64, k : 288
copy to device time : 0.002088 sec
execution time : 0.104963 sec
copy from gpu time : 0.008225 sec
conv ocl time : 0.115303 sec
l.workspace_size: 12460032
layer 4: Predicted in 0.115340 seconds.
layer_5 : <forward_maxpool_layer>
l.workspace_size: 0
layer 5: Predicted in 0.017015 seconds.
layer_6 : <forward_convolutional_layer>
gws : 52 52 128
m : 128, k : 576
copy to device time : 0.001794 sec
execution time : 0.102727 sec
copy from gpu time : 0.004610 sec
conv ocl time : 0.109154 sec
l.workspace_size: 6230016
layer 6: Predicted in 0.109184 seconds.
layer_7 : <forward_maxpool_layer>
l.workspace_size: 0
layer 7: Predicted in 0.008126 seconds.
layer_8 : <forward_convolutional_layer>
gws : 26 26 256
m : 256, k : 1152
copy to device time : 0.002273 sec
execution time : 0.089608 sec
copy from gpu time : 0.002425 sec
conv ocl time : 0.094326 sec
l.workspace_size: 3115008
layer 8: Predicted in 0.094349 seconds.
layer_9 : <forward_maxpool_layer>
l.workspace_size: 0
layer 9: Predicted in 0.001627 seconds.
layer_10 : <forward_convolutional_layer>
gws : 13 13 512
m : 512, k : 2304
copy to device time : 0.004303 sec
execution time : 0.079127 sec
copy from gpu time : 0.001332 sec
conv ocl time : 0.084777 sec
l.workspace_size: 1557504
layer 10: Predicted in 0.084800 seconds.
layer_11 : <forward_maxpool_layer>
l.workspace_size: 0
layer 11: Predicted in 0.003184 seconds.
layer_12 : <forward_convolutional_layer>
gws : 13 13 512
m : 1024, k : 4608
copy to device time : 0.016302 sec
execution time : 0.314973 sec
copy from gpu time : 0.002331 sec
conv ocl time : 0.333626 sec
l.workspace_size: 3115008
layer 12: Predicted in 0.333651 seconds.
layer_13 : <forward_convolutional_layer>
gws : 13 13 512
m : 512, k : 9216
copy to device time : 0.016797 sec
execution time : 0.313331 sec
copy from gpu time : 0.001215 sec
conv ocl time : 0.331357 sec
l.workspace_size: 6230016
layer 13: Predicted in 0.331381 seconds.
layer_14 : <forward_convolutional_layer>
l.n: 425, l.c: 512, l.groups: 1, l.size: 1, l.w: 13, l.h: 13
m:425, k:512, n:169,Total:36774400
no normalization...
batchnorm time : 0.000172 sec
activate time : 0.000499 sec
l.workspace_size: 346112
layer 14: Predicted in 0.034864 seconds.
layer_15 : <forward_region_layer>
l.workspace_size: 0
layer 15: Predicted in 0.004308 seconds.
GPU time 1.280289 seconds.
data/person.jpg: Predicted in 1.446921 seconds.
dog: 92%
person: 91%
horse: 92%
root@h3ulcb:~/darknet_pearl#