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
|
ir_version: 7
producer_name: "pytorch"
producer_version: "CURRENT_VERSION"
graph {
node {
input: "onnx::Add_0"
input: "params.0"
output: "onnx::Mul_2"
name: "Add_0"
op_type: "Add"
}
node {
input: "onnx::Add_0"
input: "onnx::Mul_2"
output: "onnx::Tanh_3"
name: "Mul_1"
op_type: "Mul"
}
node {
input: "onnx::Tanh_3"
output: "onnx::Sigmoid_4"
name: "Tanh_2"
op_type: "Tanh"
}
node {
input: "onnx::Sigmoid_4"
output: "onnx::Neg_5"
name: "Sigmoid_3"
op_type: "Sigmoid"
}
node {
input: "onnx::Neg_5"
output: "6"
name: "Neg_4"
op_type: "Neg"
}
name: "torch_jit"
initializer {
dims: 2
dims: 2
data_type: 1
name: "params.0"
raw_data: "\000\000\200?\000\000\000@\000\000@@\000\000\200@"
}
input {
name: "onnx::Add_0"
type {
tensor_type {
elem_type: 1
shape {
dim {
dim_value: 2
}
dim {
dim_value: 2
}
}
}
}
}
output {
name: "6"
type {
tensor_type {
elem_type: 1
shape {
dim {
dim_value: 2
}
dim {
dim_value: 2
}
}
}
}
}
}
opset_import {
version: 14
}
|
