xref: /aosp_15_r20/external/pytorch/test/onnx/expect/TestOperators.test_params.expect (revision da0073e96a02ea20f0ac840b70461e3646d07c45) 
1ir_version: 8
2producer_name: "pytorch"
3producer_version: "CURRENT_VERSION"
4graph {
5  node {
6    input: "onnx::Add_0"
7    input: "params.0"
8    output: "onnx::Mul_2"
9    name: "Add_0"
10    op_type: "Add"
11  }
12  node {
13    input: "onnx::Add_0"
14    input: "onnx::Mul_2"
15    output: "onnx::Tanh_3"
16    name: "Mul_1"
17    op_type: "Mul"
18  }
19  node {
20    input: "onnx::Tanh_3"
21    output: "onnx::Sigmoid_4"
22    name: "Tanh_2"
23    op_type: "Tanh"
24  }
25  node {
26    input: "onnx::Sigmoid_4"
27    output: "onnx::Neg_5"
28    name: "Sigmoid_3"
29    op_type: "Sigmoid"
30  }
31  node {
32    input: "onnx::Neg_5"
33    output: "6"
34    name: "Neg_4"
35    op_type: "Neg"
36  }
37  name: "main_graph"
38  initializer {
39    dims: 2
40    dims: 2
41    data_type: 1
42    name: "params.0"
43    raw_data: "\000\000\200?\000\000\000@\000\000@@\000\000\200@"
44  }
45  input {
46    name: "onnx::Add_0"
47    type {
48      tensor_type {
49        elem_type: 1
50        shape {
51          dim {
52            dim_value: 2
53          }
54          dim {
55            dim_value: 2
56          }
57        }
58      }
59    }
60  }
61  input {
62    name: "params.0"
63    type {
64      tensor_type {
65        elem_type: 1
66        shape {
67          dim {
68            dim_value: 2
69          }
70          dim {
71            dim_value: 2
72          }
73        }
74      }
75    }
76  }
77  output {
78    name: "6"
79    type {
80      tensor_type {
81        elem_type: 1
82        shape {
83          dim {
84            dim_value: 2
85          }
86          dim {
87            dim_value: 2
88          }
89        }
90      }
91    }
92  }
93}
94opset_import {
95  version: 17
96}
97