File: TestOperators.test_upsample_nearest_scale.expect

package info (click to toggle)
pytorch 1.13.1%2Bdfsg-4
  • links: PTS, VCS
  • area: main
  • in suites: bookworm
  • size: 139,252 kB
  • sloc: cpp: 1,100,274; python: 706,454; ansic: 83,052; asm: 7,618; java: 3,273; sh: 2,841; javascript: 612; makefile: 323; xml: 269; ruby: 185; yacc: 144; objc: 68; lex: 44
file content (95 lines) | stat: -rw-r--r-- 1,563 bytes parent folder | download | duplicates (2)
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
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
ir_version: 7
producer_name: "pytorch"
producer_version: "CURRENT_VERSION"
graph {
  node {
    output: "onnx::Resize_6"
    name: "Constant_0"
    op_type: "Constant"
    attribute {
      name: "value"
      t {
        dims: 4
        data_type: 1
        raw_data: "\000\000\200?\000\000\200?\000\000\000@\000\000\000@"
      }
      type: TENSOR
    }
  }
  node {
    input: "x"
    input: ""
    input: "onnx::Resize_6"
    output: "5"
    name: "Resize_1"
    op_type: "Resize"
    attribute {
      name: "coordinate_transformation_mode"
      s: "asymmetric"
      type: STRING
    }
    attribute {
      name: "cubic_coeff_a"
      f: -0.75
      type: FLOAT
    }
    attribute {
      name: "mode"
      s: "nearest"
      type: STRING
    }
    attribute {
      name: "nearest_mode"
      s: "floor"
      type: STRING
    }
  }
  name: "torch_jit"
  input {
    name: "x"
    type {
      tensor_type {
        elem_type: 1
        shape {
          dim {
            dim_value: 1
          }
          dim {
            dim_value: 2
          }
          dim {
            dim_value: 3
          }
          dim {
            dim_value: 4
          }
        }
      }
    }
  }
  output {
    name: "5"
    type {
      tensor_type {
        elem_type: 1
        shape {
          dim {
            dim_value: 1
          }
          dim {
            dim_value: 2
          }
          dim {
            dim_value: 6
          }
          dim {
            dim_value: 8
          }
        }
      }
    }
  }
}
opset_import {
  version: 14
}