File: freeze_module.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 (36 lines) | stat: -rw-r--r-- 1,244 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
/** \brief This file defines freezing Torchscript module API.
 *
 * This API has python-binding and can be invoked directly or as a part of
 * general optimization pipeline.
 */
#pragma once

#include <torch/csrc/jit/api/module.h>
#include <torch/csrc/jit/ir/ir.h>

/** \brief Freeze Module, i.e., Assume all atrributes are constants.
 *
 * Freezing module is a functionality that allows the JIT to internalize
 * immutable attributes. Combined with inlining, the module is aggressively
 * optimized and significant overhead is optimized away. The freezeModule API
 * produces a cloned frozen module.
 */

namespace torch {
namespace jit {

TORCH_API Module freeze_module(
    const Module& module,
    std::vector<std::string> preservedAttrs = std::vector<std::string>(),
    bool freezeInterfaces = true,
    bool preserveParameters = false);

// Clone-free version of freeze_module. This modifies the module inplace.
// Use this version to avoid extra memory usage incurred by cloning the module.
TORCH_API void freeze_module_inplace(
    Module* module,
    std::vector<std::string> preservedAttrs = std::vector<std::string>(),
    bool freezeInterfaces = true,
    bool preserveParameters = false);
} // namespace jit
} // namespace torch