blob: 16cc440057f1db19f58acd5a950fdfa95bf68661 (
plain)
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
|
# Small Shape + Reshape network
# This test is quite similar with the last part of InceptionV3
node {
name: "Placeholder"
op: "Placeholder"
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "shape"
value {
shape {
dim {
size: 1
}
dim {
size: 2
}
dim {
size: 3
}
dim {
size: 2
}
}
}
}
}
node {
name: "Shape"
op: "Shape"
input: "Placeholder"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "out_type"
value {
type: DT_INT32
}
}
}
node {
name: "Const"
op: "Const"
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
dim {
size: 2
}
}
int_val: 3
int_val: 4
}
}
}
}
node {
name: "Reshape1"
op: "Reshape"
input: "Placeholder"
input: "Const"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "Tshape"
value {
type: DT_INT32
}
}
}
node {
name: "Relu"
op: "Relu"
input: "Reshape1"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
}
node {
name: "Reshape2"
op: "Reshape"
input: "Relu"
input: "Shape"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "Tshape"
value {
type: DT_INT32
}
}
}
|