File: function_schema_parser.h

package info (click to toggle)
pytorch-cuda 2.6.0%2Bdfsg-7
  • links: PTS, VCS
  • area: contrib
  • in suites: forky, sid, trixie
  • size: 161,620 kB
  • sloc: python: 1,278,832; cpp: 900,322; ansic: 82,710; asm: 7,754; java: 3,363; sh: 2,811; javascript: 2,443; makefile: 597; ruby: 195; xml: 84; objc: 68
file content (23 lines) | stat: -rw-r--r-- 804 bytes parent folder | download | duplicates (3)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
#pragma once

#include <ATen/core/function_schema.h>
#include <c10/macros/Macros.h>
#include <string>
#include <variant>

namespace torch::jit {

// allow_typevars: If true, we assume that lowercase types that we don't
// understand are type variables. This is only needed for TorchScript (and not
// not needed for custom ops).
// If false, we disallow typevars, except in certain cases for BC reason (i.e.
// your op is in the aten or prim namespace).
TORCH_API std::variant<c10::OperatorName, c10::FunctionSchema> parseSchemaOrName(
    const std::string& schemaOrName,
    bool allow_typevars = true);
TORCH_API c10::FunctionSchema parseSchema(
    const std::string& schema,
    bool allow_typevars = true);
TORCH_API c10::OperatorName parseName(const std::string& name);

} // namespace torch::jit