code: def __init__(self) -> None:
      self._bindings_module: Optional[CallgrindModuleType] = None
      valgrind_symbols = (
          "_valgrind_supported_platform",
          "_valgrind_toggle",
          "_valgrind_toggle_and_dump_stats",
      )
      if all(hasattr(torch._C, symbol) for symbol in valgrind_symbols):
          self._supported_platform: bool = (
              torch._C._valgrind_supported_platform()
          )
  
      else:
          print(
              "Callgrind bindings are not present in `torch._C`. JIT-ing bindings."
          )
          self._bindings_module = cpp_jit.get_compat_bindings()
          assert all(
              hasattr(self._bindings_module, symbol)
              for symbol in valgrind_symbols
          )
          self._supported_platform = (
              self._bindings_module._valgrind_supported_platform()
          )
  
      self._commands_available: Dict[str, bool] = {}
      if self._supported_platform:
          # Only bother checking on supported platforms.
          for cmd in (
              "valgrind",
              "callgrind_control",
              "callgrind_annotate",
          ):
              self._commands_available[cmd] = not subprocess.run(
                  ["which", cmd],
                  capture_output=True,
                  check=False,
              ).returncode
  
      self._build_type: Optional[str] = None
      build_search = re.search(
          "BUILD_TYPE=(.+),", torch.__config__.show()
      )
      if build_search is not None:
          self._build_type = build_search.groups()[0].split(",")[0]
  
imports: import collections
  import enum
  import dataclasses
  import itertools
  import os
  import pickle
  import re
  import shutil
  import subprocess
  import sys
  import textwrap
  from typing import cast, Any, Callable, DefaultDict, Dict, Iterator, List, NamedTuple, Optional, Tuple, Union, TYPE_CHECKING
  import torch
  from torch.utils.benchmark.utils import common, cpp_jit
  from torch.utils.benchmark.utils._stubs import CallgrindModuleType
  import operator
label_desc: Use image node_id 1 to create a new _ValgrindWrapper object  with example: obj = _ValgrindWrapper()