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
|
#pragma once
#include <torch/csrc/onnx/diagnostics/generated/rules.h>
#include <torch/csrc/utils/pybind.h>
#include <string>
namespace torch::onnx::diagnostics {
/**
* @brief Level of a diagnostic.
* @details The levels are defined by the SARIF specification, and are not
* modifiable. For alternative categories, please use Tag instead.
* @todo Introduce Tag to C++ api.
*/
enum class Level : uint8_t {
kNone,
kNote,
kWarning,
kError,
};
// NOLINTNEXTLINE(*array*)
static constexpr const char* const kPyLevelNames[] = {
"NONE",
"NOTE",
"WARNING",
"ERROR",
};
// Wrappers around Python diagnostics.
// TODO: Move to .cpp file in following PR.
inline py::object _PyDiagnostics() {
return py::module::import("torch.onnx._internal.diagnostics");
}
inline py::object _PyRule(Rule rule) {
return _PyDiagnostics().attr("rules").attr(
kPyRuleNames[static_cast<uint32_t>(rule)]);
}
inline py::object _PyLevel(Level level) {
return _PyDiagnostics().attr("levels").attr(
kPyLevelNames[static_cast<uint32_t>(level)]);
}
inline void Diagnose(
Rule rule,
Level level,
std::unordered_map<std::string, std::string> messageArgs = {}) {
py::object py_rule = _PyRule(rule);
py::object py_level = _PyLevel(level);
// TODO: statically check that size of messageArgs matches with rule.
py::object py_message =
py_rule.attr("format_message")(**py::cast(messageArgs));
// to use the `_a` literal for arguments
using namespace pybind11::literals;
_PyDiagnostics().attr("diagnose")(
py_rule, py_level, py_message, "cpp_stack"_a = true);
}
} // namespace torch::onnx::diagnostics
|
