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1ir_version: 8
2producer_name: "pytorch"
3producer_version: "CURRENT_VERSION"
4graph {
5  node {
6    output: "onnx::Resize_6"
7    name: "Constant_1"
8    op_type: "Constant"
9    attribute {
10      name: "value"
11      t {
12        dims: 4
13        data_type: 1
14        raw_data: "\000\000\200?\000\000\200?\000\000\000@\000\000\000@"
15      }
16      type: TENSOR
17    }
18  }
19  node {
20    input: "x"
21    input: ""
22    input: "onnx::Resize_6"
23    output: "5"
24    name: "Resize_2"
25    op_type: "Resize"
26    attribute {
27      name: "coordinate_transformation_mode"
28      s: "asymmetric"
29      type: STRING
30    }
31    attribute {
32      name: "cubic_coeff_a"
33      f: -0.75
34      type: FLOAT
35    }
36    attribute {
37      name: "mode"
38      s: "nearest"
39      type: STRING
40    }
41    attribute {
42      name: "nearest_mode"
43      s: "floor"
44      type: STRING
45    }
46  }
47  name: "main_graph"
48  input {
49    name: "x"
50    type {
51      tensor_type {
52        elem_type: 1
53        shape {
54          dim {
55            dim_value: 1
56          }
57          dim {
58            dim_value: 2
59          }
60          dim {
61            dim_value: 3
62          }
63          dim {
64            dim_value: 4
65          }
66        }
67      }
68    }
69  }
70  output {
71    name: "5"
72    type {
73      tensor_type {
74        elem_type: 1
75        shape {
76          dim {
77            dim_value: 1
78          }
79          dim {
80            dim_value: 2
81          }
82          dim {
83            dim_value: 6
84          }
85          dim {
86            dim_value: 8
87          }
88        }
89      }
90    }
91  }
92}
93opset_import {
94  version: 17
95}
96