xref: /aosp_15_r20/external/pytorch/test/onnx/expect/TestOperators.test_remainder.expect (revision da0073e96a02ea20f0ac840b70461e3646d07c45) 
1ir_version: 8
2producer_name: "pytorch"
3producer_version: "CURRENT_VERSION"
4graph {
5  node {
6    input: "onnx::Div_0"
7    input: "onnx::Div_1"
8    output: "onnx::Floor_2"
9    name: "Div_0"
10    op_type: "Div"
11  }
12  node {
13    input: "onnx::Floor_2"
14    output: "onnx::Mul_3"
15    name: "Floor_1"
16    op_type: "Floor"
17  }
18  node {
19    input: "onnx::Mul_3"
20    input: "onnx::Div_1"
21    output: "onnx::Sub_4"
22    name: "Mul_2"
23    op_type: "Mul"
24  }
25  node {
26    input: "onnx::Div_0"
27    input: "onnx::Sub_4"
28    output: "5"
29    name: "Sub_3"
30    op_type: "Sub"
31  }
32  name: "main_graph"
33  input {
34    name: "onnx::Div_0"
35    type {
36      tensor_type {
37        elem_type: 1
38        shape {
39          dim {
40            dim_value: 2
41          }
42          dim {
43            dim_value: 3
44          }
45          dim {
46            dim_value: 4
47          }
48        }
49      }
50    }
51  }
52  input {
53    name: "onnx::Div_1"
54    type {
55      tensor_type {
56        elem_type: 1
57        shape {
58          dim {
59            dim_value: 2
60          }
61          dim {
62            dim_value: 1
63          }
64          dim {
65            dim_value: 4
66          }
67        }
68      }
69    }
70  }
71  output {
72    name: "5"
73    type {
74      tensor_type {
75        elem_type: 1
76        shape {
77          dim {
78            dim_value: 2
79          }
80          dim {
81            dim_value: 3
82          }
83          dim {
84            dim_value: 4
85          }
86        }
87      }
88    }
89  }
90}
91opset_import {
92  version: 17
93}
94