xref: /aosp_15_r20/external/pytorch/test/onnx/expect/TestOperators.test_rand.expect (revision da0073e96a02ea20f0ac840b70461e3646d07c45) 
1ir_version: 8
2producer_name: "pytorch"
3producer_version: "CURRENT_VERSION"
4graph {
5  node {
6    output: "onnx::Add_1"
7    name: "RandomUniform_0"
8    op_type: "RandomUniform"
9    attribute {
10      name: "dtype"
11      i: 1
12      type: INT
13    }
14    attribute {
15      name: "shape"
16      ints: 1
17      ints: 2
18      ints: 3
19      ints: 4
20      type: INTS
21    }
22  }
23  node {
24    input: "onnx::Add_1"
25    input: "onnx::Add_0"
26    output: "2"
27    name: "Add_1"
28    op_type: "Add"
29  }
30  name: "main_graph"
31  input {
32    name: "onnx::Add_0"
33    type {
34      tensor_type {
35        elem_type: 1
36        shape {
37          dim {
38            dim_value: 1
39          }
40          dim {
41            dim_value: 2
42          }
43          dim {
44            dim_value: 3
45          }
46          dim {
47            dim_value: 4
48          }
49        }
50      }
51    }
52  }
53  output {
54    name: "2"
55    type {
56      tensor_type {
57        elem_type: 1
58        shape {
59          dim {
60            dim_value: 1
61          }
62          dim {
63            dim_value: 2
64          }
65          dim {
66            dim_value: 3
67          }
68          dim {
69            dim_value: 4
70          }
71        }
72      }
73    }
74  }
75}
76opset_import {
77  version: 17
78}
79