File: rules.h

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 (48 lines) | stat: -rw-r--r-- 1,123 bytes parent folder | download
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
#pragma once

/**
 * GENERATED CODE - DO NOT EDIT DIRECTLY
 * This file is generated by gen_diagnostics.py.
 * See tools/onnx/gen_diagnostics.py for more information.
 *
 * Diagnostic rules for PyTorch ONNX export.
 */

namespace torch {
namespace onnx {
namespace diagnostics {

enum class Rule : uint32_t {
  /**
   * @brief Node is missing ONNX shape inference.
   */
  kNodeMissingOnnxShapeInference,

  /**
   * @brief Missing symbolic function for custom PyTorch operator, cannot
   * translate node to ONNX.
   */
  kMissingCustomSymbolicFunction,

  /**
   * @brief Missing symbolic function for standard PyTorch operator, cannot
   * translate node to ONNX.
   */
  kMissingStandardSymbolicFunction,

  /**
   * @brief Operator is supported in newer opset version.
   */
  kOperatorSupportedInNewerOpsetVersion,
};

static constexpr const char* const kPyRuleNames[] = {
    "node_missing_onnx_shape_inference",
    "missing_custom_symbolic_function",
    "missing_standard_symbolic_function",
    "operator_supported_in_newer_opset_version",
};

} // namespace diagnostics
} // namespace onnx
} // namespace torch